---
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