Model index / Llama / Llama-3.3-70B-Instruct-abliterated
Llama / MODEL PROFILE
Llama-3.3-70B-Instruct-abliterated
huihui-ai · Published release · Abliteration · GGUF / Transformers / MLX / AWQ / EXL2
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
meta-llama/Llama-3.3-70B-Instruct ↗
Hardware and context
Estimated at 41.3 GB VRAM for 70B 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
16 repositoriesUncensored 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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