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tags:
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tags:
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- finetuned
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- finetuned
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inference: true
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inference: true
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widget:
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- messages:
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- role: user
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content: What is your favorite condiment?
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---
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---
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# Model Card for Mistral-7B-Instruct-v0.2
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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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## 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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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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