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--- |
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license: apache-2.0 |
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pipeline_tag: text-generation |
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language: |
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- en |
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tags: |
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- pretrained |
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parameters: |
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temperature: 0.7 |
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--- |
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# Mistral-7B-v0.1 |
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## Description |
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This repo contains GGUF format model files for Mistral-7B-v0.1. |
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## Files Provided |
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| Name | Quant | Bits | File Size | Remark | |
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| ---------------------------- | ------- | ---- | --------- | -------------------------------- | |
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| mistral-7b-v0.1.IQ3_XXS.gguf | IQ3_XXS | 3 | 3.02 GB | 3.06 bpw quantization | |
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| mistral-7b-v0.1.IQ3_S.gguf | IQ3_S | 3 | 3.18 GB | 3.44 bpw quantization | |
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| mistral-7b-v0.1.IQ3_M.gguf | IQ3_M | 3 | 3.28 GB | 3.66 bpw quantization mix | |
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| mistral-7b-v0.1.IQ4_NL.gguf | IQ4_NL | 4 | 4.16 GB | 4.25 bpw non-linear quantization | |
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| mistral-7b-v0.1.Q4_K_M.gguf | Q4_K_M | 4 | 4.37 GB | 3.80G, +0.0532 ppl | |
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| mistral-7b-v0.1.Q5_K_M.gguf | Q5_K_M | 5 | 5.13 GB | 4.45G, +0.0122 ppl | |
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| mistral-7b-v0.1.Q6_K.gguf | Q6_K | 6 | 5.94 GB | 5.15G, +0.0008 ppl | |
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| mistral-7b-v0.1.Q8_0.gguf | Q8_0 | 8 | 7.70 GB | 6.70G, +0.0004 ppl | |
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## Parameters |
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| path | type | architecture | rope_theta | sliding_win | max_pos_embed | |
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| ------------------------- | ------- | ------------------ | ---------- | ----------- | ------------- | |
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| mistralai/Mistral-7B-v0.1 | mistral | MistralForCausalLM | 10000.0 | 4096 | 32768 | |
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# Original Model Card |
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# Model Card for Mistral-7B-v0.1 |
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The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. |
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Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested. |
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For full details of this model please read our [paper](https://arxiv.org/abs/2310.06825) and [release blog post](https://mistral.ai/news/announcing-mistral-7b/). |
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## Model Architecture |
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Mistral-7B-v0.1 is a transformer model, with the following architecture choices: |
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- Grouped-Query Attention |
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- Sliding-Window Attention |
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- Byte-fallback BPE tokenizer |
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## Troubleshooting |
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- If you see the following error: |
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``` |
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KeyError: 'mistral' |
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``` |
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- Or: |
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``` |
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NotImplementedError: Cannot copy out of meta tensor; no data! |
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``` |
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Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer. |
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## Notice |
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Mistral 7B is a pretrained base model and therefore does not have any moderation mechanisms. |
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## The Mistral AI Team |
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Albert Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed. |
