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README.md

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+---
+library_name: mlx
+tags:
+- translation
+- mlx
+- mlx
+- mlx-my-repo
+language:
+- zh
+- en
+- fr
+- pt
+- es
+- ja
+- tr
+- ru
+- ar
+- ko
+- th
+- it
+- de
+- vi
+- ms
+- id
+- tl
+- hi
+- pl
+- cs
+- nl
+- km
+- my
+- fa
+- gu
+- ur
+- te
+- mr
+- he
+- bn
+- ta
+- uk
+- bo
+- kk
+- mn
+- ug
+pipeline_tag: text-generation
+base_model: shawizir/Hunyuan-MT-7B-mlx-4bit
+---
+
+# introvoyz041/Hunyuan-MT-7B-mlx-4bit-mlx-4Bit
+
+The Model [introvoyz041/Hunyuan-MT-7B-mlx-4bit-mlx-4Bit](https://huggingface.co/introvoyz041/Hunyuan-MT-7B-mlx-4bit-mlx-4Bit) was converted to MLX format from [shawizir/Hunyuan-MT-7B-mlx-4bit](https://huggingface.co/shawizir/Hunyuan-MT-7B-mlx-4bit) using mlx-lm version **0.28.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("introvoyz041/Hunyuan-MT-7B-mlx-4bit-mlx-4Bit")
+
+prompt="hello"
+
+if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```