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

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

LH-Tech-AI commited on Mar 14

Commit

f8d4fb3

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1 Parent(s): 44f99f0

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@@ -25,7 +25,7 @@ Then, use the prepare-script and the finetuning script in the files list of this
 # How to use it
 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!
 Have fun! :D

 # How to use it
 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