What are the hardware requirements for ChatMusician?

ChatMusician requires approximately 13.5 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 ChatMusician and how large is it?

ChatMusician is developed by m-a-p, a model with 6.7b 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 ChatMusician?

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

ChatMusician by m-a-p — VRAM 13.5GB, 2K context

Name: ChatMusician
Author: m-a-p

ChatMusician is an open-source language model by m-a-p. Features: 6.7b LLM, VRAM: 13.5GB, Context: 2K, License: mit, LLM Explorer Score: 0.13.

Arxiv:2402.16153 En Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/m-a-p/ChatMusician

ChatMusician Benchmarks

LLME Score: 0.12759

^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)

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ChatMusician Parameters and Internals

Model Type

text-generation, music generation

Use Cases

Areas:

Research, Music composition

Applications:

Chore music creation, Melody harmonization, Musical form conditioned music generation

Primary Use Cases:

Music composition from chord progression, Text to music transformation

Limitations:

The model currently only supports strict format and close-ended instructions for music tasks., The model suffers from hallucinations., A large portion of the training data is stylized in Irish music style., Music understanding results reported are obtained in perplexity mode, direct generation may underperform.

Considerations:

Consider providing diverse and complex input data for better generalization.

Supported Languages

en (English)

Training Details

Data Sources:

MusicPile

Data Volume:

1.1M samples

Methodology:

Continual pre-training and finetuning on music scores and knowledge

Input Output

Input Format:

Text prompts with structured instructions

Accepted Modalities:

text

Output Format:

ABC notation

Performance Tips:

Using diverse and well-structured prompts can enhance output quality.

Release Notes

Version:

2024-2-28

Date:

2024-2-28

Notes:

Release of demo, code, model, data, and benchmark.

LLM Name	ChatMusician
Repository 🤗	https://huggingface.co/m-a-p/ChatMusician
Model Size	6.7b
Required VRAM	13.5 GB
Updated	2026-05-20
Maintainer	m-a-p
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2 10.0 GB: 1-of-2 3.5 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.32.0
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	32000
Torch Data Type	float16

Quantized Models of the ChatMusician

Model	Likes	Downloads	VRAM
... ChatMusician Bnb 4bit Smashed	0	17	4 GB
ChatMusician GGUF	15	1589	2 GB

Best Alternatives to ChatMusician

Best Alternatives	Context / RAM	Downloads	Likes
Gptnoise37	128K / 13.5 GB	67	0
Deepseek Coder 6.7B Base	16K / 13.5 GB	37565	123
Speechless Coder Ds 6.7B	16K / 13.5 GB	1028	7
...s Coder6.7b Reflct Adamw Iter2	16K / 13.5 GB	480	0
...s Coder6.7b Reflct Adamw Iter1	16K / 13.5 GB	475	0
...ir8 Ds Coder6.7b Rmsprop Iter4	16K / 13.5 GB	183	0
...ir8 Ds Coder6.7b Rmsprop Iter2	16K / 13.5 GB	183	0
...s Coder6.7b Reflct Adamw Iter3	16K / 13.5 GB	430	0
...ir8 Ds Coder6.7b Rmsprop Iter3	16K / 13.5 GB	165	0
Ds Coder6.7b Adamw Iter5	16K / 13.5 GB	405	0

Note: green Score (e.g. "73.2") means that the model is better than m-a-p/ChatMusician.

Rank the ChatMusician Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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ChatMusician by m-a-p