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Qwen3.8-27B-Uncensored-FP8
id-2/Qwen3.8-27B-Uncensored-FP8
Qwen3.8-27B-Uncensored-FP8 is a image-text-to-text model from id-2. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Unofficial mirror of orcarouter/Qwen3.8-27B-Uncensored-FP8 in the original FP8 safetensors format, intended for NVIDIA GPUs (vLLM / transformers with FP8 support).
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27.8B
30.9 GB on disk
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.safetensors30.9 GB · 100%
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F8_E4M324.7B · 89%
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From the Hugging Face model README
Qwen3.8-27B-Uncensored-FP8 (NVIDIA / FP8)
Unofficial mirror of orcarouter/Qwen3.8-27B-Uncensored-FP8 in the original FP8 safetensors format, intended for NVIDIA GPUs (vLLM / transformers with FP8 support).
Format
transformerscheckpoint,qwen3_5architecture (Qwen3_5ForConditionalGeneration)- 7 safetensors shards, FP8 (block-FP8) quantized weights
- Multimodal (image-text-to-text)
Usage (NVIDIA / vLLM)
# vLLM (FP8 native)
vllm serve id-2/Qwen3.8-27B-Uncensored-FP8 --quantization fp8
# transformers
from transformers import AutoModelForCausalLM, AutoProcessor
model = AutoModelForCausalLM.from_pretrained("id-2/Qwen3.8-27B-Uncensored-FP8")
Note: MLX format (Apple Silicon) is NOT provided here — this is the NVIDIA/FP8 build.
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen3_5
- License
- apache-2.0
- Created
- Aug 20, 2026
- Updated
- Aug 20, 2026