What are the hardware requirements for Qwen3.5 0.8B Decision?

Qwen3.5 0.8B Decision requires approximately 1.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 0.8B Decision and how large is it?

Qwen3.5 0.8B Decision is developed by mlx-community, a model with 0.8b 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 0.8B Decision?

Qwen3.5 0.8B Decision is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 0.8B Decision by mlx-community — VRAM 1.8GB

Name: Qwen3.5 0.8B Decision
Author: mlx-community

Qwen3.5 0.8B Decision is an open-source language model by mlx-community. Features: 0.8b LLM, VRAM: 1.8GB, License: apache-2.0, LLM Explorer Score: 0.33.

Adapter Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b Decision-model Eval-results Finetuned Lora Mlx Optiq Qwen3 5 Region:us Safetensors Sharded Tensorflow Typed-decisions

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3.5-0.8B-decision

Qwen3.5 0.8B Decision Parameters and Internals

LLM Name	Qwen3.5 0.8B Decision
Repository 🤗	https://huggingface.co/mlx-community/Qwen3.5-0.8B-decision
Base Model(s)	Qwen/Qwen3.5-0.8B Qwen/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	1.8 GB
Updated	2026-10-14
Maintainer	mlx-community
Model Files	0.0 GB 0.1 GB 1.8 GB: 1-of-1
Model Architecture	Adapter
License	apache-2.0
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
LoRA Model	Yes
LoRA Alpha	0
LoRA Dropout	0
R Param	0
Errors	replace

Rank the Qwen3.5 0.8B Decision 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 0.8B Decision

Best Alternatives	Context / RAM	Downloads	Likes
Kev 0.8B	0K / 0 GB	12153	39
... Jev Budget20 Qwen35 0.8B Lora	0K / 0 GB	64	1
Payo 0.8B Core Preview	0K / 0.1 GB	18	1
Mc Ai	0K / 0 GB	23	1
Connect C1 0.8B V0.1	0K / 0 GB	0	1
...wen3.5 0.8B CommonsenseQA LoRA	0K / 0 GB	9	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3.5-0.8B-decision.