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--- |
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base_model: amazingvince/zephyr-smol_llama-100m-sft-full |
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inference: false |
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license: apache-2.0 |
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model-index: |
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- name: zephyr-smol_llama-100m-sft-full |
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results: [] |
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model_creator: amazingvince |
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model_name: zephyr-smol_llama-100m-sft-full |
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pipeline_tag: text-generation |
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quantized_by: afrideva |
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tags: |
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- generated_from_trainer |
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- gguf |
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- ggml |
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- quantized |
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- q2_k |
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- q3_k_m |
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- q4_k_m |
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- q5_k_m |
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- q6_k |
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- q8_0 |
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--- |
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# amazingvince/zephyr-smol_llama-100m-sft-full-GGUF |
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Quantized GGUF model files for [zephyr-smol_llama-100m-sft-full](https://huggingface.co./amazingvince/zephyr-smol_llama-100m-sft-full) from [amazingvince](https://huggingface.co./amazingvince) |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [zephyr-smol_llama-100m-sft-full.fp16.gguf](https://huggingface.co./afrideva/zephyr-smol_llama-100m-sft-full-GGUF/resolve/main/zephyr-smol_llama-100m-sft-full.fp16.gguf) | fp16 | 204.25 MB | |
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| [zephyr-smol_llama-100m-sft-full.q2_k.gguf](https://huggingface.co./afrideva/zephyr-smol_llama-100m-sft-full-GGUF/resolve/main/zephyr-smol_llama-100m-sft-full.q2_k.gguf) | q2_k | 51.90 MB | |
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| [zephyr-smol_llama-100m-sft-full.q3_k_m.gguf](https://huggingface.co./afrideva/zephyr-smol_llama-100m-sft-full-GGUF/resolve/main/zephyr-smol_llama-100m-sft-full.q3_k_m.gguf) | q3_k_m | 58.04 MB | |
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| [zephyr-smol_llama-100m-sft-full.q4_k_m.gguf](https://huggingface.co./afrideva/zephyr-smol_llama-100m-sft-full-GGUF/resolve/main/zephyr-smol_llama-100m-sft-full.q4_k_m.gguf) | q4_k_m | 66.38 MB | |
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| [zephyr-smol_llama-100m-sft-full.q5_k_m.gguf](https://huggingface.co./afrideva/zephyr-smol_llama-100m-sft-full-GGUF/resolve/main/zephyr-smol_llama-100m-sft-full.q5_k_m.gguf) | q5_k_m | 75.31 MB | |
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| [zephyr-smol_llama-100m-sft-full.q6_k.gguf](https://huggingface.co./afrideva/zephyr-smol_llama-100m-sft-full-GGUF/resolve/main/zephyr-smol_llama-100m-sft-full.q6_k.gguf) | q6_k | 84.80 MB | |
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| [zephyr-smol_llama-100m-sft-full.q8_0.gguf](https://huggingface.co./afrideva/zephyr-smol_llama-100m-sft-full-GGUF/resolve/main/zephyr-smol_llama-100m-sft-full.q8_0.gguf) | q8_0 | 109.33 MB | |
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## Original Model Card: |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# zephyr-smol_llama-100m-sft-full |
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This model is a fine-tuned version of [BEE-spoke-data/smol_llama-101M-GQA](https://huggingface.co./BEE-spoke-data/smol_llama-101M-GQA) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9579 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.9642 | 0.7 | 1141 | 1.9578 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
