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Qwen3.8 27B Cold Fusion GAIN V1.1 OQ6e Fp16 by Johneeee

By Johneeee · 163 downloads

Qwen3.8 27B Cold Fusion GAIN V1.1 OQ6e Fp16 is an open-source language model by Johneeee. Features: 27b LLM, VRAM: 22.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

  6-bit Base model:davidau/qwen3.8-27b... Base model:quantized:davidau/q...   Conversational   Fp16   Image-text-to-text   Mlx   Multimodal   Oq   Quantized   Qwen3.8   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow

Qwen3.8 27B Cold Fusion GAIN V1.1 OQ6e Fp16 Parameters and Internals

LLM NameQwen3.8 27B Cold Fusion GAIN V1.1 OQ6e Fp16
Repository πŸ€—https://huggingface.co/Johneeee/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-oQ6e-fp16 
Model Name/mnt/x/Qwen3.8-27B
Base Model(s)  DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1   DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1
Model Size27b
Required VRAM22.5 GB
Updated2026-08-30
MaintainerJohneeee
Model Typeqwen3_5
Model Files  5.1 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   2.4 GB: 5-of-5
Quantization Typefp16
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Johneeee/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-oQ6e-fp16.