| 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-SPIN-iter0 - GGUF | |
| - Model creator: https://huggingface.co/UCLA-AGI/ | |
| - Original model: https://huggingface.co/UCLA-AGI/zephyr-7b-sft-full-SPIN-iter0/ | |
| | Name | Quant method | Size | | |
| | ---- | ---- | ---- | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q2_K.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q2_K.gguf) | Q2_K | 2.53GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.IQ3_XS.gguf) | IQ3_XS | 2.81GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.IQ3_S.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.IQ3_S.gguf) | IQ3_S | 2.96GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q3_K_S.gguf) | Q3_K_S | 2.95GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.IQ3_M.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.IQ3_M.gguf) | IQ3_M | 3.06GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q3_K.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q3_K.gguf) | Q3_K | 3.28GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q3_K_M.gguf) | Q3_K_M | 3.28GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q3_K_L.gguf) | Q3_K_L | 3.56GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.IQ4_XS.gguf) | IQ4_XS | 3.67GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q4_0.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q4_0.gguf) | Q4_0 | 3.83GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.IQ4_NL.gguf) | IQ4_NL | 3.87GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q4_K_S.gguf) | Q4_K_S | 3.86GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q4_K.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q4_K.gguf) | Q4_K | 4.07GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q4_K_M.gguf) | Q4_K_M | 4.07GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q4_1.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q4_1.gguf) | Q4_1 | 4.24GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q5_0.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q5_0.gguf) | Q5_0 | 4.65GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q5_K_S.gguf) | Q5_K_S | 4.65GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q5_K.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q5_K.gguf) | Q5_K | 4.78GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q5_K_M.gguf) | Q5_K_M | 4.78GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q5_1.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q5_1.gguf) | Q5_1 | 5.07GB | | |
| | [zephyr-7b-sft-full-SPIN-iter0.Q6_K.gguf](https://huggingface.co/RichardErkhov/UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf/blob/main/zephyr-7b-sft-full-SPIN-iter0.Q6_K.gguf) | Q6_K | 5.53GB | | |
| Original model description: | |
| --- | |
| license: mit | |
| datasets: | |
| - UCLA-AGI/SPIN_iter0 | |
| language: | |
| - en | |
| pipeline_tag: text-generation | |
| --- | |
| Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models (https://arxiv.org/abs/2401.01335) | |
| # zephyr-7b-sft-full-spin-iter0 | |
| This model is a self-play fine-tuned model at iteration 0 from [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) using synthetic data based on on the [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) dataset. | |
| ## Model Details | |
| ### Model Description | |
| - Model type: A 7B parameter GPT-like model fine-tuned on synthetic datasets. | |
| - Language(s) (NLP): Primarily English | |
| - License: MIT | |
| - Finetuned from model: alignment-handbook/zephyr-7b-sft-full (based on mistralai/Mistral-7B-v0.1) | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 5e-07 | |
| - train_batch_size: 8 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 8 | |
| - total_train_batch_size: 64 | |
| - optimizer: RMSProp | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - num_epochs: 2.0 | |
| ## [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) | |
| Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_UCLA-AGI__test0) | |
| | Metric | Value | | |
| |-----------------------|---------------------------| | |
| | Avg. | 62.37 | | |
| | ARC (25-shot) | 63.65 | | |
| | HellaSwag (10-shot) | 84.44 | | |
| | MMLU (5-shot) | 61.01 | | |
| | TruthfulQA (0-shot) | 50.48 | | |
| | Winogrande (5-shot) | 77.98 | | |
| | GSM8K (5-shot) | 36.69 | | |
| ## Citation | |
| ``` | |
| @misc{chen2024selfplay, | |
| title={Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models}, | |
| author={Zixiang Chen and Yihe Deng and Huizhuo Yuan and Kaixuan Ji and Quanquan Gu}, | |
| year={2024}, | |
| eprint={2401.01335}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.LG} | |
| } | |
| ``` | |