scaffold: initial model card + license + LFS

.gitattributes

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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

LICENSE

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+See Apache-2.0 license in the base model card and this repository. This derivative packaging uses Apache-2.0 (LICENSE).

README.md

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+---
+license: apache-2.0
+library_name: mlx
+pipeline_tag: text-generation
+base_model: Qwen/Qwen3-Next-80B-A3B-Thinking
+tags:
+  - mlx
+  - qwen3_next
+  - 8-bit
+  - affine
+  - text-generation
+quantization_config:
+  bits: 8
+  mode: affine
+  group_size: 64
+model-index:
+  - name: Qwen3-Next-80B-A3B-Thinking 8-bit (MLX)
+    results: []
+---
+
+# Qwen3-Next-80B-A3B-Thinking — MLX 8-bit (affine)
+
+Apple MLX-optimized 8-bit affine-quantized checkpoint of the base model
+`Qwen/Qwen3-Next-80B-A3B-Thinking` for local inference on Apple Silicon.
+
+Key details
+- Format: MLX runtime, safetensors sharded weights
+- Quantization: affine int8, group_size=64
+- Task: text generation / chat
+- Tokenizer: provided via `tokenizer.json` (BPE) with `chat_template.jinja`
+
+## Usage (MLX)
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+repo_id = "abnormalmapstudio/Qwen3-Next-80B-A3B-Thinking-8bit-mlx"
+model, tokenizer = load(repo_id)
+out = generate(model, tokenizer, "List 5 creative dinner ideas.", max_tokens=200)
+print(out)
+```
+
+## Benchmarks
+- Will be added after upload completes; see `scripts/bench/qwen_mxfp4_vs_int4.py` and `scripts/bench/model_queue_eval.py`.
+
+## License
+- Apache-2.0 for this packaging. See `LICENSE`.
+- Base model license and terms apply (Qwen/Qwen3-Next-80B-A3B-Thinking).
+