Instructions to use LH-Tech-AI/Apex-1.5-Coder-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-Coder-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-Coder-Instruct-350M # Run inference directly in the terminal: llama cli -hf LH-Tech-AI/Apex-1.5-Coder-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-Coder-Instruct-350M # Run inference directly in the terminal: llama cli -hf LH-Tech-AI/Apex-1.5-Coder-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-Coder-Instruct-350M # Run inference directly in the terminal: ./llama-cli -hf LH-Tech-AI/Apex-1.5-Coder-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-Coder-Instruct-350M # Run inference directly in the terminal: ./build/bin/llama-cli -hf LH-Tech-AI/Apex-1.5-Coder-Instruct-350M
Use Docker
docker model run hf.co/LH-Tech-AI/Apex-1.5-Coder-Instruct-350M
- LM Studio
- Jan
- vLLM
How to use LH-Tech-AI/Apex-1.5-Coder-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-Coder-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-Coder-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-Coder-Instruct-350M
- Ollama
How to use LH-Tech-AI/Apex-1.5-Coder-Instruct-350M with Ollama:
ollama run hf.co/LH-Tech-AI/Apex-1.5-Coder-Instruct-350M
- Unsloth Studio
How to use LH-Tech-AI/Apex-1.5-Coder-Instruct-350M 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 LH-Tech-AI/Apex-1.5-Coder-Instruct-350M 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 LH-Tech-AI/Apex-1.5-Coder-Instruct-350M to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for LH-Tech-AI/Apex-1.5-Coder-Instruct-350M to start chatting
- Docker Model Runner
How to use LH-Tech-AI/Apex-1.5-Coder-Instruct-350M with Docker Model Runner:
docker model run hf.co/LH-Tech-AI/Apex-1.5-Coder-Instruct-350M
- Lemonade
How to use LH-Tech-AI/Apex-1.5-Coder-Instruct-350M with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull LH-Tech-AI/Apex-1.5-Coder-Instruct-350M
Run and chat with the model
lemonade run user.Apex-1.5-Coder-Instruct-350M-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
| license: apache-2.0 | |
| datasets: | |
| - HuggingFaceFW/fineweb-edu | |
| - sahil2801/CodeAlpaca-20k | |
| language: | |
| - en | |
| tags: | |
| - small | |
| - cpu | |
| - fast | |
| - opensource | |
| - open | |
| - free | |
| - code | |
| base_model: | |
| - LH-Tech-AI/Apex-1.5-Instruct-350M | |
| pipeline_tag: text-generation | |
| new_version: LH-Tech-AI/Apex-1.6-Instruct-350M | |
| # THIS IS OUR BEST MODEL - in March 2026! | |
| **Apex 1.5 Coder: Improved reasoning, logic and code. Fixed coding bugs on Apex 1.5 Instruct by finetuning Apex 1.5 Instruct with CodeAlpaca!** | |
| # How to train it | |
| You can train it, using the **finetuned model** LH-Tech-AI/Apex-1.5-Instruct-350M. | |
| Then, use the prepare-script and the finetuning script in the files list of this HF model. | |
| # How to use it | |
| You can download the `apex_1.5-coder.gguf` or use `ollama run hf.co/LH-Tech-AI/Apex-1.5-Coder-Instruct-350M`. And you can also use it in LM Studio for example, just by searching for "Apex 1.5 Coder". | |
| Alternative for ONNX models weights: You can directly download the final model as ONNX format - so it runs without the need to install a huge Python environment with PyTorch, CUDA, etc... - as INT8 and in full precision. | |
| Use `inference.py` for local inference on CUDA or CPU! First, install `pip install onnxruntime-gpu tiktoken numpy nvidia-cudnn-cu12 nvidia-cublas-cu12` on your system (in a Python VENV for Linux users). | |
| Have fun! :D |