What are the hardware requirements for MusePy 1 1?

MusePy 1 1 requires approximately 0.7 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MusePy 1 1 and how large is it?

MusePy 1 1 is developed by BreadAi. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does MusePy 1 1 perform on standard benchmarks?

MusePy 1 1 has the following published scores: LMSYS ELO 1491. Compare against reference models on this page or on the LLM Explorer leaderboards.

MusePy 1 1 by BreadAi — VRAM 0.7GB, 2K context

Name: MusePy 1 1
Author: BreadAi

MusePy 1 1 is an open-source language model by BreadAi. Features: LLM, VRAM: 0.7GB, Context: 2K, License: mit, LLM Explorer Score: 0.2, ELO: 1491.

Dataset:breadlicker45/6000-mus... Endpoints compatible Gpt neox Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/BreadAi/MusePy-1-1

MusePy 1 1 Benchmarks

LMSys ELO 1491 vs 1272 (so35) 17.2%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

MusePy 1 1 Parameters and Internals

Training Details

Data Sources:

breadlicker45/6000-MuseNet-encoders

Data Volume:

6k songs

LLM Name	MusePy 1 1
Repository 🤗	https://huggingface.co/BreadAi/MusePy-1-1
Required VRAM	0.7 GB
Updated	2026-08-23
Maintainer	BreadAi
Model Type	gpt_neox
Model Files	0.7 GB
Model Architecture	GPTNeoXForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.25.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50304
Torch Data Type	float32

Rank the MusePy 1 1 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

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