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

Qwen3.8 27B Bf16 requires approximately 54.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.8 27B Bf16 is developed by mlx-community, 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 Bf16?

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

Qwen3.8 27B Bf16 by mlx-community — VRAM 54.4GB

Name: Qwen3.8 27B Bf16
Author: mlx-community

Qwen3.8 27B Bf16 is an open-source language model by mlx-community. Features: 27b LLM, VRAM: 54.4GB, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b Conversational Image-text-to-text Mlx Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3.8-27B-bf16

Qwen3.8 27B Bf16 Parameters and Internals

LLM Name	Qwen3.8 27B Bf16
Repository 🤗	https://huggingface.co/mlx-community/Qwen3.8-27B-bf16
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	54.4 GB
Updated	2026-08-14
Maintainer	mlx-community
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 2.5 GB: 11-of-11
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 Bf16 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 Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
Qwen3.5 27B	0K / 55.2 GB	8115	16
...e 4.6 Opus Reasoning Distilled	0K / 55.2 GB	63234	2928
Fara1.5 27B	0K / 54.8 GB	3435	281
Qwen3.8 27B NVFP4	0K / 0.8 GB	0	109

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