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---
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language:
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- en
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- fr
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- de
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- es
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- it
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- pt
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- zh
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- ja
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- ru
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- ko
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license: other
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tags:
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- mlx
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license_name: mrl
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license_link: https://mistral.ai/licenses/MRL-0.1.md
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extra_gated_description: If you want to learn more about how we process your personal
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data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
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---
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# mlx-community/Mistral-Large-Instruct-2407-bf16
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The Model [mlx-community/Mistral-Large-Instruct-2407-bf16](https://huggingface.co/mlx-community/Mistral-Large-Instruct-2407-bf16) was converted to MLX format from [mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407) using mlx-lm version **0.16.1**.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/Mistral-Large-Instruct-2407-bf16")
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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```
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{
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 12288,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 96,
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"num_hidden_layers": 88,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.3",
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"use_cache": true,
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"vocab_size": 32768
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}
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