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README.md

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+---
+license: apache-2.0
+tags:
+- mlx
+---
+
+# mlx-community/Mistral-22B-v0.1-4bit-MLX
+This model was converted to MLX format from [`Vezora/Mistral-22B-v0.1`]() using mlx-lm version **0.6.0**.
+Refer to the [original model card](https://huggingface.co/Vezora/Mistral-22B-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/Mistral-22B-v0.1-4bit-MLX")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

added_tokens.json

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+}

config.json

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+    "add_cross_attention": false,
+    "architectures": [
+        "MistralForCausalLM"
+    ],
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+    "hidden_act": "silu",
+    "hidden_size": 6144,
+    "id2label": {
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+        "1": "LABEL_1"
+    },
+    "initializer_range": 0.02,
+    "intermediate_size": 16384,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
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+        "LABEL_1": 1
+    },
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 65536,
+    "min_length": 0,
+    "model_type": "mistral",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 48,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_experts_per_tok": 2,
+    "num_hidden_layers": 56,
+    "num_key_value_heads": 8,
+    "num_local_experts": 8,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": null,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000,
+    "sep_token_id": null,
+    "sliding_window": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": false,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": "bfloat16",
+    "torchscript": false,
+    "transformers_version": "4.40.0.dev0",
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 32000
+}

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special_tokens_map.json

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tokenizer_config.json

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+}