Instructions to use hb-dev/Qwen3.5-0.8B-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use hb-dev/Qwen3.5-0.8B-q4f16_1-MLC with MLC-LLM:
# 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
- Notebooks
- Google Colab
- Kaggle
Qwen3.5-0.8B-q4f16_1-MLC
This repository is a mirror of mlc-ai/Qwen3.5-0.8B-q4f16_1-MLC in MLC format q4f16_1.
Compatible with MLC-LLM and WebLLM.
Upstream Details
- Original Base Model: Qwen/Qwen3.5-0.8B
- MLC Source Repository: mlc-ai/Qwen3.5-0.8B-q4f16_1-MLC
- License: Apache-2.0
Example Usage
Chat via MLC-LLM
mlc_llm chat HF://hb-dev/Qwen3.5-0.8B-q4f16_1-MLC
REST Server
mlc_llm serve HF://hb-dev/Qwen3.5-0.8B-q4f16_1-MLC
Python API
from mlc_llm import MLCEngine
model = "HF://hb-dev/Qwen3.5-0.8B-q4f16_1-MLC"
engine = MLCEngine(model)
for response in engine.chat.completions.create(
messages=[{"role": "user", "content": "What is the meaning of life?"}],
model=model,
stream=True,
):
for choice in response.choices:
print(choice.delta.content, end="", flush=True)
print("\n")
engine.terminate()
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