Instructions to use bartowski/LLaMA-Mesh-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use bartowski/LLaMA-Mesh-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="bartowski/LLaMA-Mesh-GGUF", filename="LLaMA-Mesh-IQ2_M.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use bartowski/LLaMA-Mesh-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf bartowski/LLaMA-Mesh-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf bartowski/LLaMA-Mesh-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf bartowski/LLaMA-Mesh-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf bartowski/LLaMA-Mesh-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 bartowski/LLaMA-Mesh-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf bartowski/LLaMA-Mesh-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 bartowski/LLaMA-Mesh-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf bartowski/LLaMA-Mesh-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/LLaMA-Mesh-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use bartowski/LLaMA-Mesh-GGUF with Ollama:
ollama run hf.co/bartowski/LLaMA-Mesh-GGUF:Q4_K_M
- Unsloth Studio new
How to use bartowski/LLaMA-Mesh-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for bartowski/LLaMA-Mesh-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for bartowski/LLaMA-Mesh-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bartowski/LLaMA-Mesh-GGUF to start chatting
- Docker Model Runner
How to use bartowski/LLaMA-Mesh-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/LLaMA-Mesh-GGUF:Q4_K_M
- Lemonade
How to use bartowski/LLaMA-Mesh-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/LLaMA-Mesh-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.LLaMA-Mesh-GGUF-Q4_K_M
List all available models
lemonade list
Unsafe, S1, S2, S3...
Since updating ollama, I've started getting the same output every time with this model unsafe, s1, s2, s3, s4, s5, s6, s7, s8, s9, s10, s11, s12
I've tested the base model and that works fine.
Any idea what might be causing this?
Also receiving this error no matter how I try to use the model.
same issue as above. One word response for any prompt. "Safe."
works fine if you make a modelfile for it and create your ollama model with that, problem goes away then
FROM hf.co/bartowski/LLaMA-Mesh-GGUF:Q8_0
PARAMETER temperature 0.9
PARAMETER num_ctx 8192
TEMPLATE """{{ .System }} {{ .Prompt }}"""
SYSTEM """You are an AI specialized in generating 3D mesh models in OBJ format from text descriptions, including low-poly designs for games."""