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Qwen3.8 27B AutoRound W4A16 by LeaderboardModel1

By LeaderboardModel1 · 262 downloads

Qwen3.8 27B AutoRound W4A16 is an open-source language model by LeaderboardModel1. Features: 27b LLM, VRAM: 47.7GB, LLM Explorer Score: 0.32.

  Autoquant-agent   Autoround Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.8-27b   Compressed-tensors   Conversational   Quantized   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow   W4a16

Qwen3.8 27B AutoRound W4A16 Parameters and Internals

LLM NameQwen3.8 27B AutoRound W4A16
Repository πŸ€—https://huggingface.co/LeaderboardModel1/Qwen3.8-27B-AutoRound-W4A16 
Base Model(s)  Qwen/Qwen3.8-27B   Qwen/Qwen3.8-27B
Model Size27b
Required VRAM47.7 GB
Updated2026-08-27
MaintainerLeaderboardModel1
Model Typeqwen3_5
Model Files  3.2 GB: 1-of-7   3.2 GB: 1-of-10   3.2 GB: 2-of-7   3.2 GB: 2-of-10   3.2 GB: 3-of-7   3.2 GB: 3-of-10   3.2 GB: 4-of-7   3.2 GB: 4-of-10   0.7 GB: 5-of-7   3.2 GB: 5-of-10   2.5 GB: 6-of-7   3.2 GB: 6-of-10   2.5 GB: 7-of-7   3.2 GB: 7-of-10   1.8 GB: 8-of-10   2.5 GB: 9-of-10   2.5 GB: 10-of-10   0.8 GB
Model ArchitectureQwen3_5ForConditionalGeneration
Model Max Length262144
Transformers Version5.15.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than LeaderboardModel1/Qwen3.8-27B-AutoRound-W4A16.