OmniCoder-9B-q4f16_1-MLC
This is Tesslate/OmniCoder-9B (a coding/agentic fine-tune of Qwen3.5-9B) converted to MLC format with q4f16_1 quantization for in-browser inference via WebLLM (WebGPU) and MLC-LLM.
This repo contains the converted weights + mlc-chat-config.json + tokenizer. It can reuse the existing prebuilt Qwen3.5-9B WebGPU model library (same architecture/dimensions), so no separate model-library upload is needed for the default q4f16_1 / 4096-context setup.
I have separtely included in the lib directory recompiled WASM files for 8k, 16k and 32k context windows.
- Downloads last month
- -
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js