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README.md

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+---
+language:
+- fr
+- it
+- de
+- es
+- en
+license: apache-2.0
+tags:
+- mlx
+---
+
+# mlx-community/Mixtral-8x7B-v0.1-hf-4bit-mlx
+This model was converted to MLX format from [`mistralai/Mixtral-8x7B-v0.1`]().
+Refer to the [original model card](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) for more details on the model.
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Mixtral-8x7B-v0.1-hf-4bit-mlx")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

config.json

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+    "max_position_embeddings": 32768,
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+    "hidden_act": "silu",
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+    "rms_norm_eps": 1e-05,
+    "use_cache": true,
+    "rope_theta": 1000000.0,
+    "attention_dropout": 0.0,
+    "num_experts_per_tok": 2,
+    "num_local_experts": 8,
+    "output_router_logits": false,
+    "router_aux_loss_coef": 0.02,
+    "return_dict": true,
+    "output_hidden_states": false,
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+    "torchscript": false,
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+    "tf_legacy_loss": false,
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+    "do_sample": false,
+    "early_stopping": false,
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+    "num_beam_groups": 1,
+    "diversity_penalty": 0.0,
+    "temperature": 1.0,
+    "top_k": 50,
+    "top_p": 1.0,
+    "typical_p": 1.0,
+    "repetition_penalty": 1.0,
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+    "bad_words_ids": null,
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+    "output_scores": false,
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+    "exponential_decay_length_penalty": null,
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+    "architectures": [
+        "MixtralForCausalLM"
+    ],
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+    "id2label": {
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+        "1": "LABEL_1"
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+    "sep_token_id": null,
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+    "task_specific_params": null,
+    "problem_type": null,
+    "_name_or_path": "/Users/anchenli/.cache/huggingface/hub/models--mistralai--Mixtral-8x7B-v0.1/snapshots/58301445dc1378584211722b7ebf8743ec4e192b",
+    "transformers_version": "4.37.0.dev0",
+    "model_type": "mixtral",
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    }
+}

special_tokens_map.json

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+}

tokenizer.model

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tokenizer_config.json

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+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

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