Upload 12 files
Browse files- .gitattributes +2 -0
- README.md +202 -3
- adapter_config.json +37 -0
- adapter_model.safetensors +3 -0
- lora-test.gguf +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1032 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
- trainer_state.json +2217 -0
- training_args.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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lora-test.gguf filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: unsloth_Mistral-Small-24B-Instruct-2501-unsloth-bnb-4bit
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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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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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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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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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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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. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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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 -->
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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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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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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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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.14.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "unsloth_Mistral-Small-24B-Instruct-2501-unsloth-bnb-4bit",
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_bias": false,
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"lora_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"gate_proj",
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"v_proj",
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"down_proj",
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"up_proj",
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"q_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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lora-test.gguf
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optimizer.pt
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rng_state.pth
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scheduler.pt
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special_tokens_map.json
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1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<unk>",
|
4 |
+
"<s>",
|
5 |
+
"</s>",
|
6 |
+
"[INST]",
|
7 |
+
"[/INST]",
|
8 |
+
"[AVAILABLE_TOOLS]",
|
9 |
+
"[/AVAILABLE_TOOLS]",
|
10 |
+
"[TOOL_RESULTS]",
|
11 |
+
"[/TOOL_RESULTS]",
|
12 |
+
"[TOOL_CALLS]",
|
13 |
+
"[IMG]",
|
14 |
+
"<pad>",
|
15 |
+
"[IMG_BREAK]",
|
16 |
+
"[IMG_END]",
|
17 |
+
"[PREFIX]",
|
18 |
+
"[MIDDLE]",
|
19 |
+
"[SUFFIX]",
|
20 |
+
"[SYSTEM_PROMPT]",
|
21 |
+
"[/SYSTEM_PROMPT]",
|
22 |
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"[TOOL_CONTENT]",
|
23 |
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24 |
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25 |
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|
26 |
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|
27 |
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28 |
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29 |
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30 |
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31 |
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32 |
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33 |
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|
34 |
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35 |
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36 |
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37 |
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38 |
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39 |
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40 |
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41 |
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42 |
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43 |
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44 |
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45 |
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46 |
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47 |
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48 |
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49 |
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50 |
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51 |
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52 |
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53 |
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54 |
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55 |
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56 |
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58 |
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64 |
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65 |
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66 |
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67 |
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69 |
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71 |
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72 |
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74 |
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91 |
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92 |
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178 |
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179 |
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180 |
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181 |
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182 |
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183 |
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184 |
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185 |
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186 |
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187 |
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188 |
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189 |
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190 |
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191 |
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192 |
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193 |
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194 |
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195 |
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196 |
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197 |
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198 |
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199 |
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200 |
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201 |
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202 |
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203 |
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204 |
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205 |
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206 |
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207 |
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208 |
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209 |
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210 |
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211 |
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212 |
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213 |
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214 |
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215 |
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216 |
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217 |
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218 |
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219 |
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220 |
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221 |
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222 |
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223 |
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224 |
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225 |
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226 |
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227 |
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228 |
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229 |
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230 |
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231 |
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232 |
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233 |
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234 |
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235 |
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236 |
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237 |
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238 |
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239 |
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240 |
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241 |
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242 |
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243 |
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244 |
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245 |
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246 |
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247 |
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248 |
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249 |
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250 |
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251 |
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252 |
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253 |
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254 |
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255 |
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256 |
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257 |
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258 |
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259 |
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260 |
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261 |
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262 |
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263 |
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264 |
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265 |
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266 |
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267 |
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268 |
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269 |
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270 |
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271 |
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272 |
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273 |
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274 |
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275 |
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276 |
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277 |
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278 |
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279 |
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280 |
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281 |
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282 |
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283 |
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284 |
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285 |
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286 |
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287 |
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288 |
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289 |
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290 |
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291 |
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292 |
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293 |
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294 |
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295 |
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296 |
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297 |
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298 |
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299 |
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300 |
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301 |
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302 |
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303 |
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304 |
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305 |
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306 |
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307 |
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308 |
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309 |
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310 |
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311 |
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312 |
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313 |
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314 |
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315 |
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316 |
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317 |
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318 |
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319 |
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320 |
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321 |
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322 |
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323 |
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324 |
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325 |
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326 |
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327 |
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328 |
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329 |
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330 |
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331 |
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332 |
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333 |
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334 |
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335 |
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336 |
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337 |
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338 |
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339 |
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340 |
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341 |
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342 |
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344 |
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345 |
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346 |
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347 |
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348 |
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349 |
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350 |
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351 |
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352 |
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353 |
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355 |
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356 |
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357 |
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358 |
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359 |
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360 |
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361 |
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362 |
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363 |
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364 |
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365 |
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366 |
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367 |
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369 |
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371 |
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377 |
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380 |
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381 |
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383 |
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386 |
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388 |
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389 |
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390 |
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391 |
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393 |
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395 |
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396 |
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|
608 |
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609 |
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610 |
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611 |
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612 |
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613 |
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614 |
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615 |
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616 |
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617 |
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618 |
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619 |
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620 |
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621 |
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622 |
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623 |
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624 |
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625 |
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626 |
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627 |
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628 |
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629 |
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630 |
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631 |
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632 |
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633 |
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634 |
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635 |
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636 |
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637 |
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638 |
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639 |
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640 |
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641 |
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642 |
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643 |
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644 |
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645 |
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646 |
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647 |
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648 |
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649 |
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650 |
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651 |
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652 |
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653 |
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654 |
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655 |
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656 |
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657 |
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658 |
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659 |
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660 |
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661 |
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662 |
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663 |
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664 |
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665 |
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666 |
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667 |
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668 |
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669 |
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670 |
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671 |
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672 |
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673 |
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674 |
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675 |
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676 |
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677 |
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678 |
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679 |
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680 |
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681 |
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682 |
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683 |
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684 |
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685 |
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686 |
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687 |
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688 |
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689 |
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690 |
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691 |
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692 |
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693 |
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694 |
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695 |
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696 |
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697 |
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698 |
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699 |
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700 |
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701 |
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702 |
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703 |
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704 |
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705 |
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706 |
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707 |
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708 |
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709 |
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710 |
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711 |
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712 |
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713 |
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714 |
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715 |
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716 |
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717 |
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718 |
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719 |
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720 |
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721 |
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722 |
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723 |
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724 |
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725 |
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726 |
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727 |
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728 |
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729 |
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730 |
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731 |
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732 |
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733 |
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734 |
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736 |
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737 |
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738 |
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739 |
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741 |
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742 |
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743 |
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744 |
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745 |
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746 |
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747 |
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748 |
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749 |
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750 |
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751 |
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752 |
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753 |
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754 |
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755 |
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756 |
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757 |
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758 |
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759 |
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760 |
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761 |
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762 |
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763 |
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764 |
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765 |
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766 |
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767 |
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768 |
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769 |
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770 |
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771 |
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772 |
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773 |
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774 |
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775 |
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776 |
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777 |
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778 |
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779 |
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780 |
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781 |
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782 |
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783 |
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784 |
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785 |
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786 |
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787 |
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788 |
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789 |
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790 |
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791 |
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792 |
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794 |
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795 |
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796 |
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797 |
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798 |
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799 |
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800 |
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801 |
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802 |
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803 |
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804 |
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805 |
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806 |
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807 |
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808 |
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809 |
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810 |
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811 |
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812 |
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813 |
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814 |
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815 |
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816 |
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817 |
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818 |
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819 |
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820 |
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821 |
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822 |
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823 |
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824 |
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825 |
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826 |
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827 |
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828 |
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829 |
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830 |
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831 |
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832 |
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833 |
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834 |
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835 |
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836 |
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837 |
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838 |
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839 |
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840 |
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841 |
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842 |
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843 |
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844 |
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845 |
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846 |
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847 |
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848 |
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849 |
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850 |
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851 |
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852 |
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853 |
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854 |
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855 |
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856 |
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857 |
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858 |
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859 |
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860 |
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861 |
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862 |
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863 |
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864 |
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865 |
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866 |
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867 |
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868 |
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869 |
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870 |
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871 |
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872 |
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873 |
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874 |
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875 |
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876 |
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877 |
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878 |
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879 |
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880 |
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881 |
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882 |
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883 |
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884 |
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885 |
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886 |
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887 |
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888 |
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889 |
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890 |
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891 |
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892 |
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894 |
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895 |
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896 |
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897 |
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898 |
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899 |
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900 |
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901 |
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902 |
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903 |
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904 |
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905 |
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906 |
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907 |
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908 |
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909 |
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910 |
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911 |
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912 |
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913 |
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914 |
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915 |
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916 |
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917 |
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918 |
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919 |
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920 |
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921 |
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922 |
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923 |
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924 |
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925 |
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926 |
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927 |
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928 |
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929 |
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930 |
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931 |
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932 |
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933 |
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934 |
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935 |
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936 |
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937 |
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938 |
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939 |
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940 |
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941 |
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942 |
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943 |
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944 |
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945 |
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946 |
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947 |
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948 |
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949 |
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950 |
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951 |
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952 |
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953 |
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954 |
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955 |
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956 |
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957 |
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958 |
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959 |
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960 |
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961 |
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962 |
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963 |
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964 |
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965 |
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966 |
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967 |
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968 |
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969 |
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970 |
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971 |
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972 |
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973 |
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974 |
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975 |
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976 |
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977 |
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979 |
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980 |
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981 |
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982 |
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983 |
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984 |
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985 |
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986 |
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987 |
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988 |
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989 |
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990 |
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991 |
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992 |
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993 |
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994 |
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995 |
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996 |
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997 |
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998 |
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999 |
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1000 |
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1001 |
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|
1002 |
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|
1003 |
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],
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1004 |
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1005 |
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"content": "<s>",
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1006 |
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1007 |
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1008 |
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1009 |
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|
1010 |
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},
|
1011 |
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|
1012 |
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1013 |
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1014 |
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1015 |
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1016 |
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|
1017 |
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},
|
1018 |
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1019 |
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1020 |
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1021 |
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1022 |
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1023 |
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|
1024 |
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},
|
1025 |
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|
1026 |
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"content": "<unk>",
|
1027 |
+
"lstrip": false,
|
1028 |
+
"normalized": false,
|
1029 |
+
"rstrip": false,
|
1030 |
+
"single_word": false
|
1031 |
+
}
|
1032 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b76085f9923309d873994d444989f7eb6ec074b06f25b58f1e8d7b7741070949
|
3 |
+
size 17078037
|
tokenizer_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
trainer_state.json
ADDED
@@ -0,0 +1,2217 @@
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