What are the hardware requirements for Musicllm?

Musicllm requires approximately 13.5 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Musicllm and how large is it?

Musicllm is developed by TristanBehrens, a model with 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 Musicllm?

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

Musicllm by TristanBehrens — VRAM 13.5GB, 16K context

Name: Musicllm
Author: TristanBehrens

Musicllm is an open-source language model by TristanBehrens. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.11.

Base model:adapter:codellama/c... Base model:codellama/codellama... Codegen Endpoints compatible Generated from trainer Gguf Llama Peft Pytorch Quantized Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/TristanBehrens/musicllm

Musicllm Parameters and Internals

Model Type

LlamaForCausalLM

Training Details

Data Sources:

TristanBehrens/MusicCode_JSFakes_2024_Compose

Context Length:

16384

LLM Name	Musicllm
Repository 🤗	https://huggingface.co/TristanBehrens/musicllm
Base Model(s)	CodeLlama 7B Hf codellama/CodeLlama-7b-hf
Model Size	7b
Required VRAM	13.5 GB
Updated	2025-07-01
Maintainer	TristanBehrens
Model Type	llama
Model Files	4.8 GB 4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3
GGUF Quantization	Yes
Quantization Type	gguf
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.39.0.dev0
Tokenizer Class	CodeLlamaTokenizer
Padding Token	</s>
Vocabulary Size	32016
Torch Data Type	bfloat16

Rank the Musicllm 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 Musicllm

Best Alternatives	Context / RAM	Downloads	Likes
Bachinstruct Codellama7b	16K / 13.5 GB	39	1
...pseek Coder 6.7B Instruct GGUF	16K / 2.5 GB	2370	8
Solidity	16K / 2.8 GB	211	0
EvolCodeLlama 7B GGUF	16K / 4.8 GB	5	0
Cria Llama2 7B V1.3 GGUF	4K / 3.8 GB	29	0
CodeLlama 7B Java 16bit	16K / 13.5 GB	10	0
Codellama 7B Bnb 4bit	16K / 3.9 GB	3695	9
...ruct Solidity Bnb 4bit Smashed	16K / 4.2 GB	6	0
...lama 7B Tofuagent Contpretrain	16K / 13.5 GB	6	0
...B Instruct Hf Bnb 4bit Smashed	16K / 4.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than TristanBehrens/musicllm.