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---
license: apache-2.0
pipeline_tag: text-generation
base_model: mistral-community/Mistral-7B-v0.2
tags:
- transformers
- safetensors
- mistral
- 4-bit
- AWQ
- text-generation
- text-generation-inference
- autotrain_compatible
- endpoints_compatible
- chatml
inference: false
quantized_by: Suparious
---
# mistralai/Mistral-7B-v0.2 AWQ
- Model creator: [mistral-community](https://huggingface.co/mistral-community)
- Original model: [Mistral-7B-v0.2](https://huggingface.co/mistral-community/Mistral-7B-v0.2)
## Model Summary
Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1
- 32k context window (vs 8k context in v0.1)
- Rope-theta = 1e6
- No Sliding-Window Attention
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/).
- Grouped-Query Attention
- Sliding-Window Attention
- Byte-fallback BPE tokenizer
## Instruction format
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.
E.g.
```
text = "<s>[INST] What is your favourite condiment? [/INST]"
"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> "
"[INST] Do you have mayonnaise recipes? [/INST]"
```
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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