Upload Qwen3.5-2B package files

README.md

@@ -1,3 +1,30 @@
 ---
 license: apache-2.0
+pipeline_tag: image-text-to-text
+library_name: llama.cpp
+tags: [qwen3.5, spacemit, k1, k3, gguf, onnxruntime]
 ---
+
+# Qwen3.5-2B for SpacemiT K1/K3
+
+This package deploys [Qwen/Qwen3.5-2B](https://huggingface.co/Qwen/Qwen3.5-2B), the Qwen Team's Apache-2.0 native multimodal vision-language model. It supports visual understanding, text, coding and agent workflows. See the [Qwen3.5 blog](https://qwen.ai/blog?id=qwen3.5) and cite:
+
+```bibtex
+@misc{qwen3.5, title={{Qwen3.5}: Towards Native Multimodal Agents}, author={{Qwen Team}}, month={February}, year={2026}, url={https://qwen.ai/blog?id=qwen3.5}}
+```
+
+The Q4_1 GGUF text decoder is paired with ONNX vision encoders at 224, 384 (default), and 768 pixels. Files are `qwen3_5_2b-text-q41.gguf`, the three `qwen3_5_2b-vision-*-op23.f16.onnx` files, and `configs/K1` / `configs/K3`.
+
+Install SpacemiT [ONNX Runtime](https://github.com/spacemit-com/onnxruntime/releases) and SMT-enabled [llama.cpp](https://github.com/spacemit-com/llama.cpp), or unpack `spacemit-ort.riscv64.2.0.6.tar.gz` and `spacemit-llama.cpp.riscv64.0.1.7.tar.gz`. Source builds use `git clone --recursive`, `RISCV_ROOT_PATH`, `SPACEMIT_ORT_DIR`, and `bash build_spacemit.sh glibc`.
+
+K1/X60 has AI cores 0–3: use `configs/K1` and `-t 4`. K3/A100 has AI cores 8–15: use `configs/K3` and `-t 8`. The configs' `ep_config` contains the corresponding affinity.
+
+```bash
+export MODEL_DIR=/path/to/Qwen3.5-2B-SpacemiT LLAMA_DIR=/path/to/llama.cpp-installed ORT_DIR=/path/to/spacemit-ort.riscv64.2.0.6
+export LD_LIBRARY_PATH="$LLAMA_DIR/lib:$ORT_DIR/lib:${LD_LIBRARY_PATH:-}"
+"$LLAMA_DIR/bin/llama-server" -m "$MODEL_DIR/qwen3_5_2b-text-q41.gguf" --media-backend smt --smt-config-dir "$MODEL_DIR/configs/K1" -t 4 --host 0.0.0.0 --port 8080 --warmup
+```
+
+For K3 change `K1` to `K3` and `-t 4` to `-t 8`. POST an image data URL and `Describe the image content.` to `/v1/chat/completions` with `max_tokens: 64`, `temperature: 0`, and thinking disabled. Board smoke tests with `humanspeech.jpg` returned HTTP 200 on both K1 (`0-3`, output beginning `Here's a detailed description of the image:`) and K3 (`8-15`, output beginning `The image displays a collection of books...`).
+
+The original model is Apache-2.0; llama.cpp and ONNX Runtime retain their own licenses.