Instructions to use LH-Tech-AI/Apex-1.5-Instruct-350M 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 LH-Tech-AI/Apex-1.5-Instruct-350M 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 LH-Tech-AI/Apex-1.5-Instruct-350M # Run inference directly in the terminal: llama cli -hf LH-Tech-AI/Apex-1.5-Instruct-350M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf LH-Tech-AI/Apex-1.5-Instruct-350M # Run inference directly in the terminal: llama cli -hf LH-Tech-AI/Apex-1.5-Instruct-350M
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 LH-Tech-AI/Apex-1.5-Instruct-350M # Run inference directly in the terminal: ./llama-cli -hf LH-Tech-AI/Apex-1.5-Instruct-350M
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 LH-Tech-AI/Apex-1.5-Instruct-350M # Run inference directly in the terminal: ./build/bin/llama-cli -hf LH-Tech-AI/Apex-1.5-Instruct-350M
Use Docker
docker model run hf.co/LH-Tech-AI/Apex-1.5-Instruct-350M
- LM Studio
- Jan
- vLLM
How to use LH-Tech-AI/Apex-1.5-Instruct-350M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "LH-Tech-AI/Apex-1.5-Instruct-350M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LH-Tech-AI/Apex-1.5-Instruct-350M", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/LH-Tech-AI/Apex-1.5-Instruct-350M
- Ollama
How to use LH-Tech-AI/Apex-1.5-Instruct-350M with Ollama:
ollama run hf.co/LH-Tech-AI/Apex-1.5-Instruct-350M
- Unsloth Desktop
- Docker Model Runner
How to use LH-Tech-AI/Apex-1.5-Instruct-350M with Docker Model Runner:
docker model run hf.co/LH-Tech-AI/Apex-1.5-Instruct-350M
- Lemonade
How to use LH-Tech-AI/Apex-1.5-Instruct-350M with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull LH-Tech-AI/Apex-1.5-Instruct-350M
Run and chat with the model
lemonade run user.Apex-1.5-Instruct-350M-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download config.json from LH-Tech-AI/Apex-1.5-Instruct-350M: direct link, hf CLI and curl.
- Browser
- Download file 301 Bytes
-
https://huggingface.co/LH-Tech-AI/Apex-1.5-Instruct-350M/resolve/main/config.json
- Command line
-
hf download hf://LH-Tech-AI/Apex-1.5-Instruct-350M/config.json
-
curl -L -o config.json https://huggingface.co/LH-Tech-AI/Apex-1.5-Instruct-350M/resolve/main/config.json
301 Bytes
| { | |
| "n_layer": 24, | |
| "n_head": 16, | |
| "n_embd": 1024, | |
| "block_size": 1024, | |
| "bias": false, | |
| "vocab_size": 50304, | |
| "dropout": 0.0, | |
| "model_type": "gpt2", | |
| "architectures": [ | |
| "GPT" | |
| ], | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "model_name": "Apex 1.5 Instruct 350M" | |
| } |