What are the hardware requirements for Qwen3.8 27B Abliterated MLX Bf16 Mtp?

Qwen3.8 27B Abliterated MLX Bf16 Mtp requires approximately 55.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B Abliterated MLX Bf16 Mtp and how large is it?

Qwen3.8 27B Abliterated MLX Bf16 Mtp is developed by windowsxp811203, a model with 27b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3.8 27B Abliterated MLX Bf16 Mtp?

Qwen3.8 27B Abliterated MLX Bf16 Mtp is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B Abliterated MLX Bf16 Mtp by windowsxp811203 — VRAM 55.3GB

Name: Qwen3.8 27B Abliterated MLX Bf16 Mtp
Author: windowsxp811203

Qwen3.8 27B Abliterated MLX Bf16 Mtp is an open-source language model by windowsxp811203. Features: 27b LLM, VRAM: 55.3GB, License: apache-2.0, LLM Explorer Score: 0.32.

Abliterated Apple-silicon Base model:finetune:windowsxp8... Base model:windowsxp811203/qwe... Bf16 Conversational En Image-text-to-text Mlx Mtp Native-mtp Omlx Qwen Qwen3.8 Qwen3 5 Region:us Safetensors Sharded Tensorflow Uncensored Vision Zh

Model Card on HF 🤗: https://huggingface.co/windowsxp811203/Qwen3.8-27B-Abliterated-MLX-bf16-mtp

Qwen3.8 27B Abliterated MLX Bf16 Mtp Parameters and Internals

LLM Name	Qwen3.8 27B Abliterated MLX Bf16 Mtp
Repository 🤗	https://huggingface.co/windowsxp811203/Qwen3.8-27B-Abliterated-MLX-bf16-mtp
Base Model(s)	windowsxp811203/Qwen3.8-27B-Abliterated windowsxp811203/Qwen3.8-27B-Abliterated
Model Size	27b
Required VRAM	55.3 GB
Updated	2026-09-21
Maintainer	windowsxp811203
Model Type	qwen3_5
Model Files	5.2 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 4.3 GB: 10-of-11 3.4 GB: 11-of-11
Supported Languages	en zh
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B Abliterated MLX Bf16 Mtp capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Qwen3.8 27B Abliterated MLX Bf16 Mtp

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	146	1
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342

Note: green Score (e.g. "73.2") means that the model is better than windowsxp811203/Qwen3.8-27B-Abliterated-MLX-bf16-mtp.