Instructions to use changjunlee/test 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 changjunlee/test 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 changjunlee/test:Q4_K_M # Run inference directly in the terminal: llama cli -hf changjunlee/test:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf changjunlee/test:Q4_K_M # Run inference directly in the terminal: llama cli -hf changjunlee/test:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf changjunlee/test:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf changjunlee/test:Q4_K_M
Use Docker
docker model run hf.co/changjunlee/test:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use changjunlee/test with Ollama:
ollama run hf.co/changjunlee/test:Q4_K_M
- Unsloth Desktop
- Pi
How to use changjunlee/test with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf changjunlee/test:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "changjunlee/test:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use changjunlee/test with Docker Model Runner:
docker model run hf.co/changjunlee/test:Q4_K_M
- Lemonade
How to use changjunlee/test with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull changjunlee/test:Q4_K_M
Run and chat with the model
lemonade run user.test-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use changjunlee/test with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf changjunlee/test:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default changjunlee/test:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use changjunlee/test with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf changjunlee/test:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "changjunlee/test:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Upload folder using huggingface_hub
Browse files
prefill.mlpackage/Data/com.apple.CoreML/model.mlmodel
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:85d3258fdd742a91b453fe29fc00138fad9deb6e23812c48cb57ccee8a7f007d
|
| 3 |
+
size 2009699
|
prefill.mlpackage/Data/com.apple.CoreML/weights/weight.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:108cb36149f2ad7a7d564960fa9768869283523e5c335d449b0d01daa4887341
|
| 3 |
+
size 3582902080
|
prefill.mlpackage/Manifest.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"fileFormatVersion": "1.0.0",
|
| 3 |
+
"itemInfoEntries": {
|
| 4 |
+
"8F64CCFA-8D60-48A0-BED0-86066041BD99": {
|
| 5 |
+
"author": "com.apple.CoreML",
|
| 6 |
+
"description": "CoreML Model Weights",
|
| 7 |
+
"name": "weights",
|
| 8 |
+
"path": "com.apple.CoreML/weights"
|
| 9 |
+
},
|
| 10 |
+
"E7AE024E-2F1F-4F10-8899-82A30B05AB53": {
|
| 11 |
+
"author": "com.apple.CoreML",
|
| 12 |
+
"description": "CoreML Model Specification",
|
| 13 |
+
"name": "model.mlmodel",
|
| 14 |
+
"path": "com.apple.CoreML/model.mlmodel"
|
| 15 |
+
}
|
| 16 |
+
},
|
| 17 |
+
"rootModelIdentifier": "E7AE024E-2F1F-4F10-8899-82A30B05AB53"
|
| 18 |
+
}
|