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@@ -12,7 +12,7 @@ You can read more in the [official blog post](https://mistral.ai/news/codestral-
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  ## Installation
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- It is recommended to use `mistralai/mamba-codestral-7B-v0.1` with [mistral-inference](https://github.com/mistralai/mistral-inference)
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  ```
@@ -31,10 +31,10 @@ pip install mamba_ssm causal-conv1d
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  from huggingface_hub import snapshot_download
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  from pathlib import Path
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- mistral_models_path = Path.home().joinpath('mistral_models', 'mamba-codestral-7B-v0.1')
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  mistral_models_path.mkdir(parents=True, exist_ok=True)
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- snapshot_download(repo_id="mistralai/mamba-codestral-7B-v0.1", allow_patterns=["params.json", "consolidated.safetensors", "tokenizer.model.v3"], local_dir=mistral_models_path)
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  ```
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  ### Chat
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  After installing `mistral_inference`, a `mistral-demo` CLI command should be available in your environment.
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  ```
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- mistral-chat $HOME/mistral_models/mamba-codestral-7B-v0.1 --instruct --max_tokens 256
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  ```
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  ## Evaluation
 
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  ## Installation
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+ It is recommended to use `mistralai/Mamba-Codestral-7B-v0.1` with [mistral-inference](https://github.com/mistralai/mistral-inference)
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  ```
 
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  from huggingface_hub import snapshot_download
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  from pathlib import Path
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+ mistral_models_path = Path.home().joinpath('mistral_models', 'Mamba-Codestral-7B-v0.1')
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  mistral_models_path.mkdir(parents=True, exist_ok=True)
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+ snapshot_download(repo_id="mistralai/Mamba-Codestral-7B-v0.1", allow_patterns=["params.json", "consolidated.safetensors", "tokenizer.model.v3"], local_dir=mistral_models_path)
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  ```
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  ### Chat
 
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  After installing `mistral_inference`, a `mistral-demo` CLI command should be available in your environment.
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  ```
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+ mistral-chat $HOME/mistral_models/Mamba-Codestral-7B-v0.1 --instruct --max_tokens 256
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  ```
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  ## Evaluation