README.md

Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


zephyr-7b-sft-full - GGUF
- Model creator: https://huggingface.co/alignment-handbook/
- Original model: https://huggingface.co/alignment-handbook/zephyr-7b-sft-full/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [zephyr-7b-sft-full.Q2_K.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q2_K.gguf) | Q2_K | 2.53GB |
| [zephyr-7b-sft-full.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
| [zephyr-7b-sft-full.IQ3_S.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.IQ3_S.gguf) | IQ3_S | 2.96GB |
| [zephyr-7b-sft-full.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
| [zephyr-7b-sft-full.IQ3_M.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.IQ3_M.gguf) | IQ3_M | 3.06GB |
| [zephyr-7b-sft-full.Q3_K.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q3_K.gguf) | Q3_K | 3.28GB |
| [zephyr-7b-sft-full.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
| [zephyr-7b-sft-full.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
| [zephyr-7b-sft-full.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
| [zephyr-7b-sft-full.Q4_0.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q4_0.gguf) | Q4_0 | 3.83GB |
| [zephyr-7b-sft-full.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
| [zephyr-7b-sft-full.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
| [zephyr-7b-sft-full.Q4_K.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q4_K.gguf) | Q4_K | 4.07GB |
| [zephyr-7b-sft-full.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
| [zephyr-7b-sft-full.Q4_1.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q4_1.gguf) | Q4_1 | 4.24GB |
| [zephyr-7b-sft-full.Q5_0.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q5_0.gguf) | Q5_0 | 4.65GB |
| [zephyr-7b-sft-full.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
| [zephyr-7b-sft-full.Q5_K.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q5_K.gguf) | Q5_K | 4.78GB |
| [zephyr-7b-sft-full.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
| [zephyr-7b-sft-full.Q5_1.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q5_1.gguf) | Q5_1 | 5.07GB |
| [zephyr-7b-sft-full.Q6_K.gguf](https://huggingface.co/RichardErkhov/alignment-handbook_-_zephyr-7b-sft-full-gguf/blob/main/zephyr-7b-sft-full.Q6_K.gguf) | Q6_K | 5.53GB |




Original model description:
---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- alignment-handbook
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrachat_200k
model-index:
- name: zephyr-7b-sft-full
  results: []
---

<!-- 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-7b-sft-full

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the HuggingFaceH4/ultrachat_200k dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9353

## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9075        | 1.0   | 1090 | 0.9353          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0