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

Qwen3.8 27B MLX requires approximately 16 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.8 27B MLX is developed by nace-ai, 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 MLX?

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

Qwen3.8 27B MLX by nace-ai — VRAM 16GB

Name: Qwen3.8 27B MLX
Author: nace-ai

Qwen3.8 27B MLX is an open-source language model by nace-ai. Features: 27b LLM, VRAM: 16GB, License: apache-2.0, LLM Explorer Score: 0.3.

4-bit 5-bit Apple-silicon Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Conversational Image-text-to-text Kapitsa Mlx Q4 Q5 Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nace-ai/Qwen3.8-27B-MLX

Qwen3.8 27B MLX Parameters and Internals

LLM Name	Qwen3.8 27B MLX
Repository 🤗	https://huggingface.co/nace-ai/Qwen3.8-27B-MLX
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	16 GB
Updated	2026-11-14
Maintainer	nace-ai
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-3 5.3 GB: 2-of-3 5.4 GB: 3-of-3 0.2 GB
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 MLX 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 MLX

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	86	3
... 27B 6.3bpw RCO SAR Marlin MTP	256K / 22 GB	84	1
Qwen3.8 27B NPU2	256K / GB	252	4
...toTrust Decider Pro Vision 27B	0K / 55.6 GB	1537390	4526
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	22043	2237
Arete 27B	0K / 54.7 GB	2407	346
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753

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