初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.2
Source: Original Platform

README.md

@@ -0,0 +1,44 @@
+---
+language:
+- en
+- ja
+library_name: transformers
+pipeline_tag: text-generation
+license:
+- llama3.1
+- gemma
+model_type: llama
+datasets:
+- lmsys/lmsys-chat-1m
+- tokyotech-llm/lmsys-chat-1m-synth
+- argilla/magpie-ultra-v0.1
+base_model: tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2
+tags:
+- mlx
+---
+
+# mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.2
+
+The Model [mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.2](https://huggingface.co/mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.2) was converted to MLX format from [tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2](https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2) using mlx-lm version **0.19.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.2")
+
+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)
+```