What are the hardware requirements for Iota Decide 4B V0.3?

Iota Decide 4B V0.3 requires approximately 9.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Iota Decide 4B V0.3 and how large is it?

Iota Decide 4B V0.3 is developed by macrocosm-os, a model with 4b 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 Iota Decide 4B V0.3?

Iota Decide 4B V0.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Iota Decide 4B V0.3 by macrocosm-os — VRAM 9.1GB

Name: Iota Decide 4B V0.3
Author: macrocosm-os

Iota Decide 4B V0.3 is an open-source language model by macrocosm-os. Features: 4b LLM, VRAM: 9.1GB, License: apache-2.0, LLM Explorer Score: 0.29.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-4b Conversational En Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors Typed-decisions

Model Card on HF 🤗: https://huggingface.co/macrocosm-os/iota-decide-4b-v0.3

Iota Decide 4B V0.3 Parameters and Internals

LLM Name	Iota Decide 4B V0.3
Repository 🤗	https://huggingface.co/macrocosm-os/iota-decide-4b-v0.3
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	9.1 GB
Updated	2026-10-30
Maintainer	macrocosm-os
Model Type	qwen3_5
Model Files	0.0 GB 9.1 GB
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.20.2
Tokenizer Class	Qwen3_5Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Iota Decide 4B V0.3 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 Iota Decide 4B V0.3

Best Alternatives	Context / RAM	Downloads	Likes
AgentHorse 4B	256K / 8.4 GB	973	7
Qwen3.5 4B	0K / 9.3 GB	6575502	801
NuExtract3	0K / 0.2 GB	441570	324
LightOnOCR 3 4B	0K / 9.1 GB	2395	71
Agents A1 4B	0K / 9.1 GB	177578	72
FrogNano 4B 2609	0K / 9.3 GB	733	113
UserRepGen 4B	0K / 9.1 GB	1008	13
Qwen3.5 4B Base	0K / 9.3 GB	227814	79
Intern Decision 4B	0K / 0.1 GB	338	48
Kestrel 4B Coder	0K / 9.3 GB	251	3

Note: green Score (e.g. "73.2") means that the model is better than macrocosm-os/iota-decide-4b-v0.3.