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Qwen3.8 27B Abliterated by rajaykumar12959

By rajaykumar12959 · 65 downloads

Qwen3.8 27B Abliterated is an open-source language model by rajaykumar12959. Features: 27b LLM, VRAM: 53.6GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.29.

  Abliteration Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.8-27b   Conversational   Dataset:tatsu-lab/alpaca   Dataset:walledai/advbench   Qwen   Qwen3.8   Qwen3 5 text   Region:us   Safetensors   Sharded   Tensorflow   Uncensored

Qwen3.8 27B Abliterated Parameters and Internals

LLM NameQwen3.8 27B Abliterated
Repository πŸ€—https://huggingface.co/rajaykumar12959/qwen3.8-27b-abliterated 
Base Model(s)  Qwen/Qwen3.8-27B   Qwen/Qwen3.8-27B
Model Size27b
Required VRAM53.6 GB
Updated2026-10-13
Maintainerrajaykumar12959
Model Typeqwen3_5_text
Model Files  5.3 GB: 1-of-11   5.3 GB: 2-of-11   5.3 GB: 3-of-11   5.3 GB: 4-of-11   5.3 GB: 5-of-11   5.3 GB: 6-of-11   5.3 GB: 7-of-11   5.3 GB: 8-of-11   5.3 GB: 9-of-11   5.3 GB: 10-of-11   0.6 GB: 11-of-11
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.19.0
Tokenizer ClassQwen3_5Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

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