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--- |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- 4-bit |
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- AWQ |
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- text-generation |
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- autotrain_compatible |
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- endpoints_compatible |
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- finetuned |
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pipeline_tag: text-generation |
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inference: false |
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quantized_by: Suparious |
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--- |
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# mistralai/Mistral-7B-Instruct-v0.2 AWQ |
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- Model creator: [mistralai](https://huggingface.co/mistralai) |
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- Original model: [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) |
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## Model Summary |
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The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2. |
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Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1 |
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- 32k context window (vs 8k context in v0.1) |
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- Rope-theta = 1e6 |
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- No Sliding-Window Attention |
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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/la-plateforme/). |
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## Instruction format |
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In order to leverage instruction fine-tuning, your prompt should be surrounded by `[INST]` and `[/INST]` tokens. The very first instruction should begin with a begin of sentence id. The next instructions should not. The assistant generation will be ended by the end-of-sentence token id. |
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E.g. |
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``` |
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text = "<s>[INST] What is your favourite condiment? [/INST]" |
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"Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> " |
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"[INST] Do you have mayonnaise recipes? [/INST]" |
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``` |
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This format is available as a [chat template](https://huggingface.co/docs/transformers/main/chat_templating) via the `apply_chat_template()` method. |
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