Model index / Qwen / Qwen2.5-72B-Instruct-abliterated
Qwen / MODEL PROFILE

Qwen2.5-72B-Instruct-abliterated

zetasepic · Published release · Abliteration · GGUF / GPTQ / Transformers / EXL2

Model familyQwen
Parameters72B
Estimated Q4 VRAMAbout 42.4 GB
30-day downloads43.9K
Declared licenseother
Source repositories6

Model source

Published by zetasepic 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/Qwen2.5-72B-Instruct ↗

Hardware and context

Estimated at 42.4 GB VRAM for 72B 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

6 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.

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