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README.md

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+---
+base_model: Qwen/Qwen2.5-Math-72B
+language:
+- en
+library_name: transformers
+license: other
+license_name: qwen
+license_link: https://huggingface.co/Qwen/Qwen2.5-Math-72B-Instruct/blob/main/LICENSE
+pipeline_tag: text-generation
+tags:
+- chat
+- mlx
+---
+
+# mlx-community/Qwen2.5-Math-72B-Instruct-8bit
+
+The Model [mlx-community/Qwen2.5-Math-72B-Instruct-8bit](https://huggingface.co/mlx-community/Qwen2.5-Math-72B-Instruct-8bit) was converted to MLX format from [Qwen/Qwen2.5-Math-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-72B-Instruct) using mlx-lm version **0.18.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Qwen2.5-Math-72B-Instruct-8bit")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

added_tokens.json

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+}

config.json

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+{
+    "architectures": [
+        "Qwen2ForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 151643,
+    "eos_token_id": 151645,
+    "hidden_act": "silu",
+    "hidden_size": 8192,
+    "initializer_range": 0.02,
+    "intermediate_size": 29568,
+    "max_position_embeddings": 4096,
+    "max_window_layers": 70,
+    "model_type": "qwen2",
+    "num_attention_heads": 64,
+    "num_hidden_layers": 80,
+    "num_key_value_heads": 8,
+    "quantization": {
+        "group_size": 64,
+        "bits": 8
+    },
+    "rms_norm_eps": 1e-06,
+    "rope_theta": 10000.0,
+    "sliding_window": 4096,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.43.1",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 152064
+}

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special_tokens_map.json

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tokenizer_config.json

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+}