Text Generation
GGUF
English
Māori
llama.cpp
abteex-ai-labs
aotearoa
chat
local-first
lumynax
multilingual
new-zealand
sovereign-ai
yi
vllm
vllm-compatible
vllm-experimental
nvidia-nim
nim-compatible
nim-candidate
nvidia-nemo
nem
nvidia-nemo-pathway
nem-pathway
nem-convert-required
legacy
outdated
imatrix
conversational
Instructions to use AbteeXAILab/lumynax-chat-yi-15-34b-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 AbteeXAILab/lumynax-chat-yi-15-34b-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 AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf AbteeXAILab/lumynax-chat-yi-15-34b-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 AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf AbteeXAILab/lumynax-chat-yi-15-34b-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 AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf AbteeXAILab/lumynax-chat-yi-15-34b-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 AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
Use Docker
docker model run hf.co/AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use AbteeXAILab/lumynax-chat-yi-15-34b-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AbteeXAILab/lumynax-chat-yi-15-34b-gguf" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AbteeXAILab/lumynax-chat-yi-15-34b-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
- Ollama
How to use AbteeXAILab/lumynax-chat-yi-15-34b-gguf with Ollama:
ollama run hf.co/AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use AbteeXAILab/lumynax-chat-yi-15-34b-gguf with Docker Model Runner:
docker model run hf.co/AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
- Lemonade
How to use AbteeXAILab/lumynax-chat-yi-15-34b-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
Run and chat with the model
lemonade run user.lumynax-chat-yi-15-34b-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Ctrl+K
feat: initial LumynaX scaffold (card v6 + quickstart + manifest + Modelfile + Space scaffold)
f52268d verified