Model index / Qwen / Qwen2.5-VL-7B-Instruct-abliterated
Qwen / MODEL PROFILE

Qwen2.5-VL-7B-Instruct-abliterated

huihui-ai · Published release · Abliteration · Transformers / GGUF / NVFP4 / OpenVINO / EXL2

Model familyQwen
Parameters7B
Estimated Q4 VRAMAbout 5 GB
30-day downloads344.4K
Declared licenseapache-2.0
Source repositories13

Model source

Published by huihui-ai on Hugging Face. This index organizes public repository metadata for discovery and comparison. Refer to the publisher and independent testing for actual model behavior.

Declared base model

Qwen/Qwen2.5-VL-7B-Instruct ↗

Hardware and context

Estimated at 5 GB VRAM for 7B parameters with 4-bit weights, including 15% weight overhead and 1 GB of baseline headroom. KV cache, context length, multimodal components and concurrency increase actual memory usage.The parameter count was parsed from the model name and has not been independently verified.

Context length: Not stated in public metadata. Please consult the model card.

Download sources and quantized variants

13 repositories
Uncensored is a publisher description, not a guarantee of zero refusals, capability, accuracy or safety. This index does not measure refusal rates or performance benchmarks.

More from this family

More Qwen →