What are the hardware requirements for Qwen3.5 2B Bf16?

Qwen3.5 2B Bf16 requires approximately 4.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 2B Bf16 and how large is it?

Qwen3.5 2B Bf16 is developed by mlx-community, a model with 2b 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 Qwen3.5 2B Bf16?

Qwen3.5 2B Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 2B Bf16 by mlx-community — VRAM 4.4GB

Name: Qwen3.5 2B Bf16
Author: mlx-community

Qwen3.5 2B Bf16 is an open-source language model by mlx-community. Features: 2b LLM, VRAM: 4.4GB, License: apache-2.0, LLM Explorer Score: 0.23.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-2b-bas... Conversational Endpoints compatible Image-text-to-text Mlx Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3.5-2B-bf16

Qwen3.5 2B Bf16 Parameters and Internals

LLM Name	Qwen3.5 2B Bf16
Repository 🤗	https://huggingface.co/mlx-community/Qwen3.5-2B-bf16
Base Model(s)	Qwen/Qwen3.5-2B-Base Qwen/Qwen3.5-2B-Base
Model Size	2b
Required VRAM	4.4 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	qwen3_5
Model Files	4.4 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 2B 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 Qwen3.5 2B Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 2B	0K / 4.5 GB	2633311	352
WeMM Embedding 2B	0K / 5.4 GB	5433	68
Qwen3.5 2B Base	0K / 4.5 GB	809591	82
Qwen3.8 2B Distill	0K / 4.5 GB	2056	24
Decider 2B Vision	0K / 4.4 GB	105	5
Qwen3.5 2B	0K / 4.5 GB	103487	18
Qwen3.5 2B Manumit V2	0K / 4.4 GB	431	0
Qwen3.5 2B Vi SFT	0K / 4.5 GB	191	1
Qwen3.8 2B	0K / 4.5 GB	319	13
Qwen3.5 2B Auto Optimized	0K / 4.5 GB	31	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3.5-2B-bf16.