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debiao29/Qwen-Qwen1.5-0.5B-1719695987 | debiao29 | 2024-06-29T21:19:49Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T21:19:47Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
# Model Card for Model ID
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debiao29/Qwen-Qwen1.5-1.8B-1719696139 | debiao29 | 2024-06-29T21:22:21Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T21:22:19Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
# Model Card for Model ID
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- PEFT 0.11.1 |
iceycold/sd3ballz | iceycold | 2024-06-30T00:38:03Z | 0 | 0 | null | [
"sd3",
"lora",
"stable-diffusion-3",
"toy",
"license:unknown",
"region:us"
]
| null | 2024-06-29T21:22:48Z | ---
license: unknown
tags:
- sd3
- lora
- stable-diffusion-3
- toy
---
Keep prompts short and sweet. CFG 5 used in my tests. "Shaped as a ball" helps composition sometimes.
This is a very messy lora. Ymmv
trigger words: ballz, mummy, monster, werewolf, terminator |
debiao29/google-gemma-2b-1719696239 | debiao29 | 2024-06-29T21:24:02Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T21:23:59Z | ---
base_model: google/gemma-2b
library_name: peft
---
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debiao29/Qwen-Qwen1.5-0.5B-1719696348 | debiao29 | 2024-06-29T21:25:51Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T21:25:49Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
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valerielucro/mistral_gsm8k_sft_epoch2 | valerielucro | 2024-06-29T21:28:37Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-29T21:28:18Z | ---
library_name: transformers
tags: []
---
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debiao29/Qwen-Qwen1.5-1.8B-1719696501 | debiao29 | 2024-06-29T21:28:23Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T21:28:21Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
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ilya94prok/comf_test | ilya94prok | 2024-06-29T21:29:21Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T21:29:21Z | Entry not found |
debiao29/google-gemma-2b-1719696600 | debiao29 | 2024-06-29T21:30:06Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T21:30:00Z | ---
base_model: google/gemma-2b
library_name: peft
---
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debiao29/Qwen-Qwen1.5-0.5B-1719696714 | debiao29 | 2024-06-29T21:31:56Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T21:31:54Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
# Model Card for Model ID
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noahtye/test-model | noahtye | 2024-06-29T21:34:04Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T21:34:04Z | Entry not found |
debiao29/Qwen-Qwen1.5-1.8B-1719696866 | debiao29 | 2024-06-29T21:34:28Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T21:34:26Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
# Model Card for Model ID
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debiao29/google-gemma-2b-1719696965 | debiao29 | 2024-06-29T21:36:08Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T21:36:05Z | ---
base_model: google/gemma-2b
library_name: peft
---
# Model Card for Model ID
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LevonHakobyan/only_head_const_lr_1-e4 | LevonHakobyan | 2024-06-29T23:20:17Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2-bert",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:common_voice_17_0",
"base_model:facebook/w2v-bert-2.0",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
]
| automatic-speech-recognition | 2024-06-29T21:37:51Z | ---
license: mit
base_model: facebook/w2v-bert-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: only_head_const_lr_1-e4
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: common_voice_17_0
type: common_voice_17_0
config: hy-AM
split: test
args: hy-AM
metrics:
- name: Wer
type: wer
value: 0.9999698904010599
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# only_head_const_lr_1-e4
This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7371
- Wer: 1.0000
- Cer: 0.8540
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
| 9.1084 | 1.5385 | 500 | 9.3283 | 1.5175 | 0.7359 |
| 4.8706 | 3.0769 | 1000 | 5.0357 | 1.0044 | 0.8964 |
| 3.8282 | 4.6154 | 1500 | 3.8866 | 0.9999 | 0.9809 |
| 3.1519 | 6.1538 | 2000 | 3.1656 | 0.9998 | 0.9309 |
| 2.8747 | 7.6923 | 2500 | 2.8780 | 1.0002 | 0.8692 |
| 2.7465 | 9.2308 | 3000 | 2.7371 | 1.0000 | 0.8540 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|
debiao29/Qwen-Qwen1.5-0.5B-1719697075 | debiao29 | 2024-06-29T21:37:58Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T21:37:55Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
# Model Card for Model ID
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### Out-of-Scope Use
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[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
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[More Information Needed]
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
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[More Information Needed]
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ThuyNT03/Merge_hsa_PhoBERT | ThuyNT03 | 2024-06-29T22:15:46Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:vinai/phobert-base-v2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| text-classification | 2024-06-29T21:39:05Z | ---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: Merge_hsa_PhoBERT
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Merge_hsa_PhoBERT
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
### Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|
debiao29/Qwen-Qwen1.5-1.8B-1719697228 | debiao29 | 2024-06-29T21:40:30Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T21:40:28Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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[More Information Needed]
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[More Information Needed]
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#### Preprocessing [optional]
[More Information Needed]
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#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
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<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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### Framework versions
- PEFT 0.11.1 |
debiao29/google-gemma-2b-1719697327 | debiao29 | 2024-06-29T21:42:10Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T21:42:07Z | ---
base_model: google/gemma-2b
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
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[More Information Needed]
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<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
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[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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### Framework versions
- PEFT 0.11.1 |
ilya94prok/comf2 | ilya94prok | 2024-06-29T22:05:38Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T21:43:15Z | Entry not found |
debiao29/Qwen-Qwen1.5-0.5B-1719697436 | debiao29 | 2024-06-29T21:43:58Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T21:43:56Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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[More Information Needed]
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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[More Information Needed]
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### Framework versions
- PEFT 0.11.1 |
P0SION/Haewonofnmixxallrounderbyaerisophics | P0SION | 2024-06-29T21:45:19Z | 0 | 0 | null | [
"license:openrail",
"region:us"
]
| null | 2024-06-29T21:44:29Z | ---
license: openrail
---
|
prl90777/7_deberta_xsmall_0 | prl90777 | 2024-06-29T22:13:12Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"deberta-v2",
"text-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| text-classification | 2024-06-29T21:46:08Z | Entry not found |
debiao29/Qwen-Qwen1.5-1.8B-1719697588 | debiao29 | 2024-06-29T21:46:30Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T21:46:28Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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[More Information Needed]
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<!-- Relevant interpretability work for the model goes here -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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### Framework versions
- PEFT 0.11.1 |
veronica08041991/naschainv33 | veronica08041991 | 2024-06-29T21:47:40Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T21:47:37Z | Entry not found |
debiao29/google-gemma-2b-1719697687 | debiao29 | 2024-06-29T21:48:14Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T21:48:08Z | ---
base_model: google/gemma-2b
library_name: peft
---
# Model Card for Model ID
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debiao29/Qwen-Qwen1.5-0.5B-1719697802 | debiao29 | 2024-06-29T21:50:04Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T21:50:02Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
# Model Card for Model ID
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debiao29/Qwen-Qwen1.5-1.8B-1719697954 | debiao29 | 2024-06-29T21:52:36Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T21:52:34Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
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debiao29/google-gemma-2b-1719698053 | debiao29 | 2024-06-29T21:54:17Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T21:54:14Z | ---
base_model: google/gemma-2b
library_name: peft
---
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Zumak/ZumakJaan | Zumak | 2024-06-29T21:54:40Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T21:54:35Z | Entry not found |
debiao29/Qwen-Qwen1.5-0.5B-1719698161 | debiao29 | 2024-06-29T21:56:03Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T21:56:01Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
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Djtrice6/F | Djtrice6 | 2024-06-29T21:57:38Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T21:57:38Z | Entry not found |
debiao29/Qwen-Qwen1.5-1.8B-1719698313 | debiao29 | 2024-06-29T21:58:35Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T21:58:33Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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daviddextre/ModelXL | daviddextre | 2024-06-30T19:23:31Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T21:59:25Z | Entry not found |
TomEijkelenkamp/renaissance-llava-composition | TomEijkelenkamp | 2024-06-29T21:59:39Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T21:59:39Z | Entry not found |
debiao29/google-gemma-2b-1719698413 | debiao29 | 2024-06-29T22:00:16Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T22:00:13Z | ---
base_model: google/gemma-2b
library_name: peft
---
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debiao29/Qwen-Qwen1.5-0.5B-1719698523 | debiao29 | 2024-06-29T22:02:06Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T22:02:03Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
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debiao29/Qwen-Qwen1.5-1.8B-1719698676 | debiao29 | 2024-06-29T22:04:38Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T22:04:36Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
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debiao29/google-gemma-2b-1719698774 | debiao29 | 2024-06-29T22:06:18Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T22:06:14Z | ---
base_model: google/gemma-2b
library_name: peft
---
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agahebr/magnum-gptq-32gs | agahebr | 2024-06-29T22:32:19Z | 0 | 0 | transformers | [
"transformers",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"gptq",
"region:us"
]
| text-generation | 2024-06-29T22:06:43Z | ---
license: apache-2.0
---
|
net31/naschainv01 | net31 | 2024-06-29T22:08:00Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T22:07:58Z | Entry not found |
debiao29/Qwen-Qwen1.5-0.5B-1719698886 | debiao29 | 2024-06-29T22:08:09Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T22:08:06Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
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debiao29/Qwen-Qwen1.5-1.8B-1719699039 | debiao29 | 2024-06-29T22:10:42Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T22:10:39Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
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### Framework versions
- PEFT 0.11.1 |
debiao29/google-gemma-2b-1719699139 | debiao29 | 2024-06-29T22:12:22Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T22:12:19Z | ---
base_model: google/gemma-2b
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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## Environmental Impact
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]
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### Framework versions
- PEFT 0.11.1 |
alx-ai/almack | alx-ai | 2024-06-29T22:34:32Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
]
| null | 2024-06-29T22:13:35Z | ---
license: apache-2.0
---
Recommended Positive Prompt - ".... B&W style Ligne claire Georges Remi Herge style"
Recommended Negative Prompt - "\//, +-/*, [], (), 0.0, √-1, π, !3.14, kitty litter, bletchley park as winter doldrums, bark bark, morpho, text box, popup"
|
debiao29/Qwen-Qwen1.5-0.5B-1719699249 | debiao29 | 2024-06-29T22:14:11Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T22:14:09Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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[More Information Needed]
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<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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### Framework versions
- PEFT 0.11.1 |
veronica08041991/naschainv01 | veronica08041991 | 2024-06-30T03:00:53Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T22:16:35Z | Entry not found |
debiao29/Qwen-Qwen1.5-1.8B-1719699400 | debiao29 | 2024-06-29T22:16:42Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T22:16:40Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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[More Information Needed]
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[More Information Needed]
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
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[More Information Needed]
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[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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### Framework versions
- PEFT 0.11.1 |
ThuyNT03/Merge_hsa_XLM-R | ThuyNT03 | 2024-06-29T22:25:05Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| text-classification | 2024-06-29T22:16:48Z | ---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: Merge_hsa_XLM-R
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Merge_hsa_XLM-R
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
### Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|
diegofx/tecnicadevendas | diegofx | 2024-06-29T22:17:00Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T22:17:00Z | Entry not found |
debiao29/google-gemma-2b-1719699499 | debiao29 | 2024-06-29T22:18:23Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T22:18:19Z | ---
base_model: google/gemma-2b
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
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#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
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#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
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[More Information Needed]
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[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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### Framework versions
- PEFT 0.11.1 |
debiao29/Qwen-Qwen1.5-0.5B-1719699608 | debiao29 | 2024-06-29T22:20:11Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T22:20:09Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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- **Developed by:** [More Information Needed]
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<!-- Provide the basic links for the model. -->
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Out-of-Scope Use
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[More Information Needed]
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habulaj/126256101095 | habulaj | 2024-06-29T22:20:26Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T22:20:22Z | Entry not found |
saeidN6788/mdlMoein01 | saeidN6788 | 2024-06-29T22:37:57Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T22:20:41Z | Entry not found |
BoscoTheDog/gemma_2b_it_gguf_chunked | BoscoTheDog | 2024-06-29T22:22:27Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
]
| text-generation | 2024-06-29T22:21:52Z | Entry not found |
debiao29/Qwen-Qwen1.5-1.8B-1719699760 | debiao29 | 2024-06-29T22:22:42Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T22:22:41Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
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keortegajau/LLaVa_MIDOG | keortegajau | 2024-06-30T01:43:13Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-29T22:23:48Z | ---
library_name: transformers
tags: []
---
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debiao29/google-gemma-2b-1719699860 | debiao29 | 2024-06-29T22:24:23Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T22:24:20Z | ---
base_model: google/gemma-2b
library_name: peft
---
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debiao29/Qwen-Qwen1.5-0.5B-1719699970 | debiao29 | 2024-06-29T22:26:12Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T22:26:10Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
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chradden/Meta-Llama-3-8B-Instruct-instseq-adapters | chradden | 2024-06-29T22:26:50Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-29T22:26:48Z | ---
library_name: transformers
tags: []
---
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debiao29/Qwen-Qwen1.5-1.8B-1719700121 | debiao29 | 2024-06-29T22:28:44Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T22:28:41Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
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valerielucro/mistral_gsm8k_preference_dataset_v2_beta_2 | valerielucro | 2024-06-29T22:29:35Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-29T22:29:17Z | ---
library_name: transformers
tags: []
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debiao29/google-gemma-2b-1719700221 | debiao29 | 2024-06-29T22:30:25Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T22:30:21Z | ---
base_model: google/gemma-2b
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debiao29/Qwen-Qwen1.5-0.5B-1719700332 | debiao29 | 2024-06-29T22:32:14Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T22:32:12Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
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valerielucro/mistral_gsm8k_preference_dataset_v2_beta_3 | valerielucro | 2024-06-29T22:32:32Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-29T22:32:14Z | ---
library_name: transformers
tags: []
---
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|
7shoe/first_Unet_butterflies | 7shoe | 2024-07-01T04:37:10Z | 0 | 0 | null | [
"tensorboard",
"region:us"
]
| null | 2024-06-29T22:33:10Z | Entry not found |
debiao29/Qwen-Qwen1.5-1.8B-1719700484 | debiao29 | 2024-06-29T22:34:46Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T22:34:44Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
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debiao29/google-gemma-2b-1719700583 | debiao29 | 2024-06-29T22:36:27Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T22:36:23Z | ---
base_model: google/gemma-2b
library_name: peft
---
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habulaj/270955241258 | habulaj | 2024-06-30T16:00:24Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T22:36:52Z | Entry not found |
valerielucro/mistral_gsm8k_preference_dataset_v2_beta_1 | valerielucro | 2024-06-29T22:37:32Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-29T22:37:15Z | ---
library_name: transformers
tags: []
---
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|
valerielucro/mistral_gsm8k_sft_epoch3 | valerielucro | 2024-06-29T22:37:42Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-29T22:37:24Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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whizzzzkid/whizzzzkid_281_6 | whizzzzkid | 2024-06-29T22:38:49Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| text-generation | 2024-06-29T22:37:34Z | Entry not found |
EthanRhys/Perci | EthanRhys | 2024-06-29T22:38:54Z | 0 | 0 | null | [
"license:openrail++",
"region:us"
]
| null | 2024-06-29T22:37:52Z | ---
license: openrail++
---
|
debiao29/Qwen-Qwen1.5-0.5B-1719700691 | debiao29 | 2024-06-29T22:38:14Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T22:38:12Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
# Model Card for Model ID
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whizzzzkid/whizzzzkid_282_5 | whizzzzkid | 2024-06-29T22:40:43Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| text-generation | 2024-06-29T22:39:35Z | Entry not found |
chjoo7/kicon_mixtral87_qlora_v2 | chjoo7 | 2024-06-29T22:41:37Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-29T22:39:50Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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debiao29/Qwen-Qwen1.5-1.8B-1719700843 | debiao29 | 2024-06-29T22:40:45Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T22:40:43Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
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debiao29/google-gemma-2b-1719700942 | debiao29 | 2024-06-29T22:42:26Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T22:42:23Z | ---
base_model: google/gemma-2b
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whizzzzkid/whizzzzkid_284_7 | whizzzzkid | 2024-06-29T22:44:30Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| text-generation | 2024-06-29T22:43:23Z | Entry not found |
debiao29/Qwen-Qwen1.5-0.5B-1719701052 | debiao29 | 2024-06-29T22:44:15Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T22:44:12Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
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valerielucro/mistral_gsm8k_preference_dataset_v2_beta_6 | valerielucro | 2024-06-29T22:44:46Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-29T22:44:28Z | ---
library_name: transformers
tags: []
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valerielucro/mistral_gsm8k_preference_dataset_v2_beta_5 | valerielucro | 2024-06-29T22:45:57Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-29T22:45:36Z | ---
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debiao29/Qwen-Qwen1.5-1.8B-1719701204 | debiao29 | 2024-06-29T22:46:46Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T22:46:44Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
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debiao29/google-gemma-2b-1719701304 | debiao29 | 2024-06-29T22:48:28Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T22:48:24Z | ---
base_model: google/gemma-2b
library_name: peft
---
# Model Card for Model ID
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- **Hardware Type:** [More Information Needed]
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### Framework versions
- PEFT 0.11.1 |
habulaj/245386216523 | habulaj | 2024-06-29T22:48:27Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T22:48:25Z | Entry not found |
DazMashaly/checkpoint-397 | DazMashaly | 2024-06-29T22:48:50Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T22:48:50Z | Entry not found |
debiao29/Qwen-Qwen1.5-0.5B-1719701412 | debiao29 | 2024-06-29T22:50:15Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T22:50:13Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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- **Hardware Type:** [More Information Needed]
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### Framework versions
- PEFT 0.11.1 |
Coolwowsocoolwow/Wario | Coolwowsocoolwow | 2024-06-29T22:54:25Z | 0 | 0 | null | [
"license:openrail",
"region:us"
]
| null | 2024-06-29T22:51:17Z | ---
license: openrail
---
|
debiao29/Qwen-Qwen1.5-1.8B-1719701564 | debiao29 | 2024-06-29T22:52:47Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T22:52:45Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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[More Information Needed]
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
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[More Information Needed]
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[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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### Framework versions
- PEFT 0.11.1 |
habulaj/750512545 | habulaj | 2024-06-29T22:53:31Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T22:53:25Z | Entry not found |
ThuyNT03/Merge_vsfc_PhoBERT | ThuyNT03 | 2024-06-29T23:08:05Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:vinai/phobert-base-v2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| text-classification | 2024-06-29T22:53:26Z | ---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: Merge_vsfc_PhoBERT
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/21521514/huggingface/runs/n035ctbw)
# Merge_vsfc_PhoBERT
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
### Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
|
shuyuej/MedLLaMA3-70B-QUANT-Epoch-1 | shuyuej | 2024-06-29T22:53:28Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
]
| null | 2024-06-29T22:53:28Z | ---
license: apache-2.0
---
|
debiao29/google-gemma-2b-1719701663 | debiao29 | 2024-06-29T22:54:26Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b",
"region:us"
]
| null | 2024-06-29T22:54:23Z | ---
base_model: google/gemma-2b
library_name: peft
---
# Model Card for Model ID
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[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
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[More Information Needed]
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[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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### Framework versions
- PEFT 0.11.1 |
habulaj/196593170333 | habulaj | 2024-06-29T22:54:58Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T22:54:40Z | Entry not found |
vjvk/shoptalk-llama2-question-answer | vjvk | 2024-06-29T22:54:48Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-29T22:54:46Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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## Model Details
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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## Model Card Contact
[More Information Needed] |
suredream/my_awesome_food_model | suredream | 2024-06-30T00:00:22Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| image-classification | 2024-06-29T22:55:02Z | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: my_awesome_food_model
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.745253164556962
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_food_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5322
- Accuracy: 0.7453
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.625 | 0.9873 | 39 | 0.6519 | 0.6472 |
| 0.5965 | 2.0 | 79 | 0.5875 | 0.6661 |
| 0.5349 | 2.9620 | 117 | 0.5322 | 0.7453 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|
debiao29/Qwen-Qwen1.5-0.5B-1719701772 | debiao29 | 2024-06-29T22:56:14Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-0.5B",
"region:us"
]
| null | 2024-06-29T22:56:12Z | ---
base_model: Qwen/Qwen1.5-0.5B
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
### Framework versions
- PEFT 0.11.1 |
rashid996958/pix2pix_exp40 | rashid996958 | 2024-06-29T22:56:57Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-29T22:56:52Z | Entry not found |
vitoriapope/lianecartman.pth | vitoriapope | 2024-07-02T21:48:23Z | 0 | 0 | null | [
"license:openrail",
"region:us"
]
| null | 2024-06-29T22:58:17Z | ---
license: openrail
---
|
debiao29/Qwen-Qwen1.5-1.8B-1719701924 | debiao29 | 2024-06-29T22:58:46Z | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:Qwen/Qwen1.5-1.8B",
"region:us"
]
| null | 2024-06-29T22:58:44Z | ---
base_model: Qwen/Qwen1.5-1.8B
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
### Framework versions
- PEFT 0.11.1 |
npc0/chatglm-4-9b-int4 | npc0 | 2024-06-30T00:25:03Z | 0 | 0 | null | [
"glm",
"chatglm",
"thudm",
"zh",
"en",
"license:other",
"region:us"
]
| null | 2024-06-29T23:00:14Z | ---
license: other
license_name: glm-4
license_link: https://huggingface.co/THUDM/glm-4-9b-chat/blob/main/LICENSE
language:
- zh
- en
tags:
- glm
- chatglm
- thudm
inference: false
---
# Quantized GLM-4 9b q4_0
Quantization based on ChatGLM.CPP convert.py script.
Download: [chatglm4-ggml-int4.bin](https://huggingface.co/npc0/chatglm-4-9b-int4/resolve/main/chatglm4-ggml-int4.bin?download=true)
Download in shell CLI
```bash
https://huggingface.co/npc0/chatglm-4-9b-int4/resolve/main/chatglm4-ggml-int4.bin
```
## 协议
GLM-4 模型的权重的使用则需要遵循 [LICENSE](LICENSE)。 |
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