LLM EXPLORER 59,962 MODELS INDEXED

Qwen3.8 Flash Next W4A16 RTN AutoRound by Intel

By Intel · 162 downloads
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Qwen3.8 Flash Next W4A16 RTN AutoRound is an open-source language model by Intel. Features: 75.4b LLM, VRAM: 112.4GB, License: other, LLM Explorer Score: 0.33.

  Arxiv:2309.05516   4-bit   Auto-round   Conversational   Endpoints compatible   Image-text-to-text   Qwen4 exp   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Intel/Qwen3.8-Flash-Next-W4A16-RTN-AutoRound 

Qwen3.8 Flash Next W4A16 RTN AutoRound Parameters and Internals

LLM NameQwen3.8 Flash Next W4A16 RTN AutoRound
Repository 🤗https://huggingface.co/Intel/Qwen3.8-Flash-Next-W4A16-RTN-AutoRound 
Model Size75.4b
Required VRAM112.4 GB
Updated2026-08-30
MaintainerIntel
Model Typeqwen4_exp
Model Files  1.3 GB: 1-of-131   1.7 GB: 2-of-131   1.0 GB: 3-of-131   0.6 GB: 4-of-131   0.9 GB: 5-of-131   2.1 GB: 6-of-131   0.9 GB: 7-of-131   1.7 GB: 8-of-131   3.2 GB: 9-of-131   3.2 GB: 10-of-131   3.2 GB: 11-of-131   3.2 GB: 12-of-131   3.2 GB: 13-of-131   3.2 GB: 14-of-131   3.2 GB: 15-of-131   3.2 GB: 16-of-131   3.2 GB: 17-of-131   3.2 GB: 18-of-131   3.2 GB: 19-of-131   3.2 GB: 20-of-131   3.2 GB: 21-of-131   3.2 GB: 22-of-131   3.2 GB: 23-of-131   3.2 GB: 24-of-131   3.2 GB: 25-of-131   3.2 GB: 26-of-131   3.2 GB: 27-of-131   3.2 GB: 28-of-131   3.2 GB: 29-of-131   3.2 GB: 30-of-131   3.2 GB: 31-of-131   3.2 GB: 32-of-131   3.2 GB: 33-of-131   3.2 GB: 34-of-131   3.2 GB: 35-of-131   3.2 GB: 36-of-131   3.2 GB: 37-of-131   3.2 GB: 38-of-131   3.2 GB: 39-of-131   0.5 GB: 40-of-131   0.9 GB: 41-of-131   0.7 GB: 42-of-131   0.9 GB: 43-of-131
Model ArchitectureQwen4ExpForConditionalGeneration
Licenseother
Transformers Version5.8.0.dev0

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