初始化项目，由ModelHub XC社区提供模型

Model: jokernifty/qwen3-1.7b-docs-nextjs-20260601-0306
Source: Original Platform

README.md

@@ -0,0 +1,36 @@
+---
+license: apache-2.0
+language:
+- en
+library_name: mlx
+pipeline_tag: text-generation
+base_model: Qwen/Qwen3-1.7B
+base_model_relation: finetune
+datasets:
+- jokernifty/docs-instruct-nextjs-20260601-0306
+tags:
+- mlx
+- qwen2
+- instruction-tuning
+- downftuner
+- synthetic-data
+---
+
+# qwen3-1.7b-docs-20260601-0306
+
+LoRA fine-tune of [`Qwen/Qwen3-1.7B`](https://huggingface.co/Qwen/Qwen3-1.7B)
+on a freshly-synthesized mixed-Wikipedia instruction dataset.
+
+- **Training**: MLX-LM LoRA, 800 iterations, 16 layers, LR 1.0e-5.
+- **Dataset**: [jokernifty/docs-instruct-nextjs-20260601-0306](https://huggingface.co/datasets/jokernifty/docs-instruct-nextjs-20260601-0306)
+- **Pipeline**: [DownFTuner](https://github.com/jokernifty/downftuner)
+
+## Usage
+
+```python
+from mlx_lm import load, generate
+model, tokenizer = load("jokernifty/qwen3-1.7b-docs-nextjs-20260601-0306")
+print(generate(model, tokenizer, prompt="Explain the Krebs cycle.", max_tokens=200))
+```
+
+For `transformers`, convert from MLX format with `mlx_lm.convert --hf-path jokernifty/qwen3-1.7b-docs-nextjs-20260601-0306` or load via `mlx_lm`.