Instructions to use nerualdreming/MOSS-Music-8B-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use nerualdreming/MOSS-Music-8B-Instruct-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf nerualdreming/MOSS-Music-8B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf nerualdreming/MOSS-Music-8B-Instruct-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf nerualdreming/MOSS-Music-8B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf nerualdreming/MOSS-Music-8B-Instruct-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf nerualdreming/MOSS-Music-8B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf nerualdreming/MOSS-Music-8B-Instruct-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf nerualdreming/MOSS-Music-8B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf nerualdreming/MOSS-Music-8B-Instruct-GGUF:Q4_K_M
Use Docker
docker model run hf.co/nerualdreming/MOSS-Music-8B-Instruct-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use nerualdreming/MOSS-Music-8B-Instruct-GGUF with Ollama:
ollama run hf.co/nerualdreming/MOSS-Music-8B-Instruct-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use nerualdreming/MOSS-Music-8B-Instruct-GGUF with Docker Model Runner:
docker model run hf.co/nerualdreming/MOSS-Music-8B-Instruct-GGUF:Q4_K_M
- Lemonade
How to use nerualdreming/MOSS-Music-8B-Instruct-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull nerualdreming/MOSS-Music-8B-Instruct-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.MOSS-Music-8B-Instruct-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
MOSS-Music-8B-Instruct โ GGUF Q4_K_M
A 4-bit K-quant of the language model of MOSS-Music-8B-Instruct (OpenMOSS, Apache-2.0), for the native GGML runner ace-caption from HOT-Step and the YuE2 / MiniMax Music 3 studios, where it describes songs by ear for LoRA datasets.
| File | Size | What |
|---|---|---|
moss-lm-q4_k_m.gguf |
5.2 GB | language model, Q4_K_M |
The audio tower is unchanged: take moss-aud-f16.gguf from scragnog/MOSS-Music-8B-Instruct-GGUF, which also has the f16 and q8_0 language models this quant was made from.
How it was made
moss-lm-f16.gguf from scragnog, requantised with HOT-Step's quantize (tools/quantize.cpp, the llama-quantize policy): attn_v and ffn_down one step up, the embedding and the output head at Q6_K, norms in F32. 254 of 399 tensors quantised; 16.4 GB โ 5.2 GB.
Use
Same as the q8_0 file: point ace-caption at this language model and the f16 audio tower. It needs about 3 GB less video memory than q8_0.
Quality against q8_0 has not been measured yet; results will be added here.
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4-bit
Model tree for nerualdreming/MOSS-Music-8B-Instruct-GGUF
Base model
OpenMOSS-Team/MOSS-Music-8B-Instruct