What are the hardware requirements for Muse2 230M Base?

Muse2 230M Base requires approximately 0.4 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Muse2 230M Base and how large is it?

Muse2 230M Base is developed by Muse-research, a model with 230m 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 Muse2 230M Base?

Muse2 230M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Muse2 230M Base by Muse-research — VRAM 0.4GB, 125K context

Name: Muse2 230M Base
Author: Muse-research

Muse2 230M Base is an open-source language model by Muse-research. Features: 230m LLM, VRAM: 0.4GB, Context: 125K, License: apache-2.0, LLM Explorer Score: 0.32.

Conversational Convolution Edge En Grouped-query-attention Hybrid-attention Json Muse2 On-device Pytorch Region:us Safetensors Structured-output

Model Card on HF 🤗: https://huggingface.co/Muse-research/Muse2-230M-Base

Muse2 230M Base Parameters and Internals

LLM Name	Muse2 230M Base
Repository 🤗	https://huggingface.co/Muse-research/Muse2-230M-Base
Model Size	230m
Required VRAM	0.4 GB
Updated	2026-08-25
Maintainer	Muse-research
Model Type	muse2
Model Files	0.4 GB
Supported Languages	en
Model Architecture	Muse2ForCausalLM
License	apache-2.0
Context Length	128000
Model Max Length	128000
Transformers Version	5.2.0
Padding Token	<\|pad\|>
Vocabulary Size	65536

Rank the Muse2 230M Base capabilities

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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 Muse2 230M Base

Best Alternatives	Context / RAM	Downloads	Likes
Muse2 230M	125K / 0.4 GB	261	1