Instructions to use aixk/aixk-custom-transformer 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 aixk/aixk-custom-transformer 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 aixk/aixk-custom-transformer:Q4_K_M # Run inference directly in the terminal: llama cli -hf aixk/aixk-custom-transformer:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf aixk/aixk-custom-transformer:Q4_K_M # Run inference directly in the terminal: llama cli -hf aixk/aixk-custom-transformer: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 aixk/aixk-custom-transformer:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf aixk/aixk-custom-transformer:Q4_K_M
Use Docker
docker model run hf.co/aixk/aixk-custom-transformer:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use aixk/aixk-custom-transformer with Ollama:
ollama run hf.co/aixk/aixk-custom-transformer:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use aixk/aixk-custom-transformer with Docker Model Runner:
docker model run hf.co/aixk/aixk-custom-transformer:Q4_K_M
- Lemonade
How to use aixk/aixk-custom-transformer with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aixk/aixk-custom-transformer:Q4_K_M
Run and chat with the model
lemonade run user.aixk-custom-transformer-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download tokenizer.json from aixk/aixk-custom-transformer: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/aixk/aixk-custom-transformer/resolve/main/tokenizer.json
- Command line
-
hf download hf://aixk/aixk-custom-transformer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aixk/aixk-custom-transformer/resolve/main/tokenizer.json
16.8 MB
- Xet hash:
- c227c814ed8db80771cddd7159bb65d8b94a9d1d46aab69b9cd6b2cf3903e321
- Size of remote file:
- 16.8 MB
- SHA256:
- 9efba5ba05888420e2f8484f34d157ed8c4c7beaed547f958e74e388a918d2e1
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