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README.md

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+---
+base_model: amazingvince/zephyr-smol_llama-100m-sft-full
+inference: false
+license: apache-2.0
+model-index:
+- name: zephyr-smol_llama-100m-sft-full
+  results: []
+model_creator: amazingvince
+model_name: zephyr-smol_llama-100m-sft-full
+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
+---
+# amazingvince/zephyr-smol_llama-100m-sft-full-GGUF
+
+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)
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [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  |
+| [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  |
+| [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  |
+| [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  |
+| [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  |
+| [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  |
+| [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  |
+
+
+
+## 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. -->
+
+# zephyr-smol_llama-100m-sft-full
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.9579
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9642        | 0.7   | 1141 | 1.9578          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0
+- Datasets 2.14.6
+- Tokenizers 0.14.1