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README.md

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+---
+base_model: lpetreadg/trained-tinyllama-ultrachat
+inference: false
+license: apache-2.0
+model-index:
+- name: trained-tinyllama-ultrachat
+  results: []
+model_creator: lpetreadg
+model_name: trained-tinyllama-ultrachat
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- generated_from_trainer
+- gguf
+- ggml
+- quantized
+- q2_k
+- q3_k_m
+- q4_k_m
+- q5_k_m
+- q6_k
+- q8_0
+---
+# lpetreadg/trained-tinyllama-ultrachat-GGUF
+
+Quantized GGUF model files for [trained-tinyllama-ultrachat](https://huggingface.co/lpetreadg/trained-tinyllama-ultrachat) from [lpetreadg](https://huggingface.co/lpetreadg)
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [trained-tinyllama-ultrachat.q2_k.gguf](https://huggingface.co/afrideva/trained-tinyllama-ultrachat-GGUF/resolve/main/trained-tinyllama-ultrachat.q2_k.gguf) | q2_k | None  |
+| [trained-tinyllama-ultrachat.q3_k_m.gguf](https://huggingface.co/afrideva/trained-tinyllama-ultrachat-GGUF/resolve/main/trained-tinyllama-ultrachat.q3_k_m.gguf) | q3_k_m | None  |
+| [trained-tinyllama-ultrachat.q4_k_m.gguf](https://huggingface.co/afrideva/trained-tinyllama-ultrachat-GGUF/resolve/main/trained-tinyllama-ultrachat.q4_k_m.gguf) | q4_k_m | None  |
+| [trained-tinyllama-ultrachat.q5_k_m.gguf](https://huggingface.co/afrideva/trained-tinyllama-ultrachat-GGUF/resolve/main/trained-tinyllama-ultrachat.q5_k_m.gguf) | q5_k_m | None  |
+| [trained-tinyllama-ultrachat.q6_k.gguf](https://huggingface.co/afrideva/trained-tinyllama-ultrachat-GGUF/resolve/main/trained-tinyllama-ultrachat.q6_k.gguf) | q6_k | None  |
+| [trained-tinyllama-ultrachat.q8_0.gguf](https://huggingface.co/afrideva/trained-tinyllama-ultrachat-GGUF/resolve/main/trained-tinyllama-ultrachat.q8_0.gguf) | q8_0 | None  |
+
+
+
+## Original Model Card:
+<!-- 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. -->
+
+# trained-tinyllama-ultrachat
+
+This model is a fine-tuned version of [PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T](https://huggingface.co/PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3258
+
+## 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: 64
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.3767        | 0.08  | 100  | 1.3685          |
+| 1.3494        | 0.17  | 200  | 1.3490          |
+| 1.3436        | 0.25  | 300  | 1.3389          |
+| 1.3231        | 0.33  | 400  | 1.3331          |
+| 1.3278        | 0.42  | 500  | 1.3296          |
+| 1.3214        | 0.5   | 600  | 1.3276          |
+| 1.3376        | 0.58  | 700  | 1.3266          |
+| 1.3227        | 0.67  | 800  | 1.3261          |
+| 1.3329        | 0.75  | 900  | 1.3259          |
+| 1.3185        | 0.83  | 1000 | 1.3258          |
+| 1.332         | 0.92  | 1100 | 1.3258          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1