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Huihui Qwen3.8 27B Abliterated INT4 W4A16 AutoRound by letechlead

By letechlead · 363 downloads
HF Repo ↗ Copy URL

Huihui Qwen3.8 27B Abliterated INT4 W4A16 AutoRound is an open-source language model by letechlead. Features: 27b LLM, VRAM: 18.6GB, License: apache-2.0, LLM Explorer Score: 0.32.

  4-bit   Abliterated   Auto-round   Autoround Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.8-27b   Conversational   Endpoints compatible   Image-text-to-text   Int4   Multimodal   Qwen3.5   Qwen3.8   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow   W4a16
Model Card on HF 🤗: https://huggingface.co/letechlead/Huihui-Qwen3.8-27B-Abliterated-INT4-W4A16-AutoRound 

Huihui Qwen3.8 27B Abliterated INT4 W4A16 AutoRound Parameters and Internals

LLM NameHuihui Qwen3.8 27B Abliterated INT4 W4A16 AutoRound
Repository 🤗https://huggingface.co/letechlead/Huihui-Qwen3.8-27B-Abliterated-INT4-W4A16-AutoRound 
Base Model(s)  huihui-ai/Huihui-Qwen3.8-27B-abliterated   Qwen/Qwen3.8-27B   huihui-ai/Huihui-Qwen3.8-27B-abliterated   Qwen/Qwen3.8-27B
Model Size27b
Required VRAM18.6 GB
Updated2026-08-22
Maintainerletechlead
Model Typeqwen3_5
Model Files  3.2 GB: 1-of-7   3.2 GB: 2-of-7   3.2 GB: 3-of-7   3.2 GB: 4-of-7   0.8 GB: 5-of-7   2.5 GB: 6-of-7   2.5 GB: 7-of-7   0.3 GB
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.15.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than letechlead/Huihui-Qwen3.8-27B-Abliterated-INT4-W4A16-AutoRound.