Qwen3.5 27B Abliterated is an open-source language model by sci4ai. Features: 27b LLM, VRAM: 53.8GB, Context: 256K.
Model Card on HF 🤗: https://huggingface.co/sci4ai/Qwen3.5-27B-Abliterated
Qwen3.5 27B Abliterated Parameters and Internals
| LLM Name | Qwen3.5 27B Abliterated |
| Repository 🤗 | https://huggingface.co/sci4ai/Qwen3.5-27B-Abliterated |
| Model Size | 27b |
| Required VRAM | 53.8 GB |
| Updated | 2026-04-21 |
| Maintainer | sci4ai |
| Model Type | qwen3_5_text |
| Model Files | |
| Model Architecture | Qwen3_5ForCausalLM |
| Context Length | 262144 |
| Model Max Length | 262144 |
| Transformers Version | 5.5.4 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 248320 |
| Errors | replace |
Best Alternatives to Qwen3.5 27B Abliterated
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Carnice 27B | 256K / 53.7 GB | 1909 | 33 |
| Qwopus3.5 27B V3 FP8 | 256K / 29.4 GB | 4902 | 6 |
| ...wopus3.5 27B V3 FP8 Vllm Ready | 256K / 29.4 GB | 398 | 9 |
Note: green Score (e.g. "73.2") means that the model is better than sci4ai/Qwen3.5-27B-Abliterated .
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a