初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/Dolphin3.0-Llama3.1-8B-bf16
Source: Original Platform

README.md

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+---
+license: llama3.1
+datasets:
+- OpenCoder-LLM/opc-sft-stage1
+- OpenCoder-LLM/opc-sft-stage2
+- microsoft/orca-agentinstruct-1M-v1
+- microsoft/orca-math-word-problems-200k
+- NousResearch/hermes-function-calling-v1
+- AI-MO/NuminaMath-CoT
+- AI-MO/NuminaMath-TIR
+- allenai/tulu-3-sft-mixture
+- cognitivecomputations/dolphin-coder
+- HuggingFaceTB/smoltalk
+- cognitivecomputations/samantha-data
+- m-a-p/CodeFeedback-Filtered-Instruction
+- m-a-p/Code-Feedback
+language:
+- en
+base_model: cognitivecomputations/Dolphin3.0-Llama3.1-8B
+tags:
+- mlx
+---
+
+# mlx-community/Dolphin3.0-Llama3.1-8B-bf16
+
+The Model [mlx-community/Dolphin3.0-Llama3.1-8B-bf16](https://huggingface.co/mlx-community/Dolphin3.0-Llama3.1-8B-bf16) was
+converted to MLX format from [cognitivecomputations/Dolphin3.0-Llama3.1-8B](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.1-8B)
+using mlx-lm version **0.20.5**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Dolphin3.0-Llama3.1-8B-bf16")
+
+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)
+```