Instructions to use PuxAI/AI002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use PuxAI/AI002 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="PuxAI/AI002", filename="lua_model.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use PuxAI/AI002 with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf PuxAI/AI002 # Run inference directly in the terminal: llama-cli -hf PuxAI/AI002
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf PuxAI/AI002 # Run inference directly in the terminal: llama-cli -hf PuxAI/AI002
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 PuxAI/AI002 # Run inference directly in the terminal: ./llama-cli -hf PuxAI/AI002
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 PuxAI/AI002 # Run inference directly in the terminal: ./build/bin/llama-cli -hf PuxAI/AI002
Use Docker
docker model run hf.co/PuxAI/AI002
- LM Studio
- Jan
- Ollama
How to use PuxAI/AI002 with Ollama:
ollama run hf.co/PuxAI/AI002
- Unsloth Studio new
How to use PuxAI/AI002 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 PuxAI/AI002 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 PuxAI/AI002 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for PuxAI/AI002 to start chatting
- Docker Model Runner
How to use PuxAI/AI002 with Docker Model Runner:
docker model run hf.co/PuxAI/AI002
- Lemonade
How to use PuxAI/AI002 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull PuxAI/AI002
Run and chat with the model
lemonade run user.AI002-{{QUANT_TAG}}List all available models
lemonade list
Upload 2 files
Browse filesUpload model for Rice assistant
- .gitattributes +1 -0
- lua_model.gguf +3 -0
- resnet152.pt +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
lua_model.gguf filter=lfs diff=lfs merge=lfs -text
|
lua_model.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7f44be4ee56b2d37b71de5a76f92fb1a567bf6fd24c30c77b5f0ad7d3acb0bac
|
| 3 |
+
size 5170912032
|
resnet152.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dfc7b9ce6c449c651820950c19dd154012947e6990fa89d4b14929199d5c754a
|
| 3 |
+
size 233737146
|