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Qwen3.8 27B BF16 INT4 W4A16 AutoRound W4G32 by goldhub

By goldhub · 8867 downloads

Qwen3.8 27B BF16 INT4 W4A16 AutoRound W4G32 is an open-source language model by goldhub. Features: 27b LLM, VRAM: 27.9GB, License: apache-2.0.

  256k-context   27b   4-bit   Auto-round   Conversational   El   En   He   Image-text-to-text   Mtp   Quantized   Qwen   Qwen3.8   Qwen3.8-27b   Qwen3 5   Region:us   Ru   Safetensors   Sharded   Tensorflow   Uk   Video-text-to-text   Vision   W4a16   Zh

Qwen3.8 27B BF16 INT4 W4A16 AutoRound W4G32 Parameters and Internals

LLM NameQwen3.8 27B BF16 INT4 W4A16 AutoRound W4G32
Repository πŸ€—https://huggingface.co/goldhub/Qwen3.8-27B-BF16-INT4-W4A16-AutoRound-W4G32 
Model Size27b
Required VRAM27.9 GB
Updated2026-08-20
Maintainergoldhub
Model Typeqwen3_5
Model Files  3.2 GB: 1-of-9   3.1 GB: 2-of-9   3.2 GB: 3-of-9   3.2 GB: 4-of-9   3.2 GB: 5-of-9   3.2 GB: 6-of-9   3.2 GB: 7-of-9   3.1 GB: 8-of-9   2.5 GB: 9-of-9   0.3 GB
Supported Languagesen zh ru uk el he
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.14.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than goldhub/Qwen3.8-27B-BF16-INT4-W4A16-AutoRound-W4G32.