初始化项目，由ModelHub XC社区提供模型

Model: moutons/Llama-3.1-Swallow-JP-EN-Translator-v1-8B-mlx-fp16
Source: Original Platform

README.md

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+---
+base_model: mpasila/Llama-3.1-Swallow-JP-EN-Translator-v1-8B
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- mlx
+- mlx-my-repo
+license:
+- llama3.3
+- gemma
+language:
+- en
+- ja
+datasets:
+- mpasila/ParallelFiction-Ja_En-1k-16k-Gemma-3-ShareGPT-Filtered
+- NilanE/ParallelFiction-Ja_En-100k
+---
+
+# moutons/Llama-3.1-Swallow-JP-EN-Translator-v1-8B-mlx-fp16
+
+The Model [moutons/Llama-3.1-Swallow-JP-EN-Translator-v1-8B-mlx-fp16](https://huggingface.co/moutons/Llama-3.1-Swallow-JP-EN-Translator-v1-8B-mlx-fp16) was converted to MLX format from [mpasila/Llama-3.1-Swallow-JP-EN-Translator-v1-8B](https://huggingface.co/mpasila/Llama-3.1-Swallow-JP-EN-Translator-v1-8B) using mlx-lm version **0.31.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("moutons/Llama-3.1-Swallow-JP-EN-Translator-v1-8B-mlx-fp16")
+
+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)
+```