初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/INTELLECT-1-Instruct-bf16
Source: Original Platform

README.md

@@ -0,0 +1,57 @@
+---
+license: apache-2.0
+datasets:
+- PrimeIntellect/fineweb-edu
+- PrimeIntellect/fineweb
+- PrimeIntellect/StackV1-popular
+- mlfoundations/dclm-baseline-1.0-parquet
+- open-web-math/open-web-math
+- arcee-ai/EvolKit-75K
+- arcee-ai/Llama-405B-Logits
+- arcee-ai/The-Tomb
+- mlabonne/open-perfectblend-fixed
+- microsoft/orca-agentinstruct-1M-v1-cleaned
+- Post-training-Data-Flywheel/AutoIF-instruct-61k-with-funcs
+- Team-ACE/ToolACE
+- Synthia-coder
+- ServiceNow-AI/M2Lingual
+- AI-MO/NuminaMath-TIR
+- allenai/tulu-3-sft-personas-code
+- allenai/tulu-3-sft-personas-math
+- allenai/tulu-3-sft-personas-math-grade
+- allenai/tulu-3-sft-personas-algebra
+language:
+- en
+base_model: PrimeIntellect/INTELLECT-1-Instruct
+pipeline_tag: text-generation
+tags:
+- mlx
+---
+
+# mlx-community/INTELLECT-1-Instruct-bf16
+
+The Model [mlx-community/INTELLECT-1-Instruct-bf16](https://huggingface.co/mlx-community/INTELLECT-1-Instruct-bf16) was
+converted to MLX format from [PrimeIntellect/INTELLECT-1-Instruct](https://huggingface.co/PrimeIntellect/INTELLECT-1-Instruct)
+using mlx-lm version **0.20.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/INTELLECT-1-Instruct-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)
+```