Instructions to use litigerking/Huihui-Qwen3.8-27B-Q4-NInfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NInfer
How to use litigerking/Huihui-Qwen3.8-27B-Q4-NInfer with NInfer:
# 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
Huihui Qwen3.8-27B Q4 — NInfer artifact
This repository provides the NInfer conversion of the Huihui Qwen3.8-27B abliterated checkpoint. It is packaged for efficient local inference and is not a Transformers-format checkpoint.
Artifact
- File:
huihui-qwen3.8-27b-q4.ninfer - Size: approximately 18.2 GB
- Architecture:
Qwen3_5ForConditionalGeneration - Context length: 262,144 tokens
- Quantization: NInfer groupwise integer conversion with Q4/Q5/Q6 and W8 components, plus BF16/FP32 runtime tensors
- MTP tensors: preserved in the artifact
- Conversion device: NVIDIA A40, CUDA
Running with NInfer
git clone https://github.com/tctiger/ninfer-A40.git
cd ninfer-A40
ninfer-serve /models/huihui-qwen3.8-27b-q4.ninfer \
--host 0.0.0.0 \
--port 8080 \
--max-context 262144 \
--kv-dtype bf16 \
--spec mtp \
--draft-tokens 3 \
--lm-head-draft
The server exposes an OpenAI-compatible API. Benchmark results vary with GPU, KV-cache type, prompt length, and concurrency.
Safety and intended use
Use this model only for lawful, authorized research, defensive security work, education, and evaluation. The abliterated nature of the source model may reduce refusal behavior; users remain responsible for access control, content filtering, and operational safeguards.
Provenance and license
This artifact is derived from the upstream Huihui Qwen3.8-27B abliterated checkpoint. Please preserve upstream attribution and comply with the upstream model license and usage restrictions. The NInfer conversion does not grant additional rights over the source weights.
Limitations
The file requires an NInfer runtime with Qwen3.8 support. It cannot be loaded
directly with transformers or llama.cpp. Validate quality, safety, and
tool-use behavior before deployment.
- Downloads last month
- 151
Model tree for litigerking/Huihui-Qwen3.8-27B-Q4-NInfer
Base model
Qwen/Qwen3.8-27B