Instructions to use VladHong/llama-cpp-K2-FAST2 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 VladHong/llama-cpp-K2-FAST2 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 VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: llama cli -hf VladHong/llama-cpp-K2-FAST2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: llama cli -hf VladHong/llama-cpp-K2-FAST2
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 VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: ./build/bin/llama cli -hf VladHong/llama-cpp-K2-FAST2
Use Docker
docker model run hf.co/VladHong/llama-cpp-K2-FAST2
- Llama new
- LM Studio
- Jan
- Ollama
How to use VladHong/llama-cpp-K2-FAST2 with Ollama:
ollama run hf.co/VladHong/llama-cpp-K2-FAST2
- Unsloth Desktop
- Docker Model Runner
How to use VladHong/llama-cpp-K2-FAST2 with Docker Model Runner:
docker model run hf.co/VladHong/llama-cpp-K2-FAST2
- Lemonade
How to use VladHong/llama-cpp-K2-FAST2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull VladHong/llama-cpp-K2-FAST2
Run and chat with the model
lemonade run user.llama-cpp-K2-FAST2-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download include/llama-cpp.h from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 900 Bytes
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/include/llama-cpp.h
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/include/llama-cpp.h
-
curl -L -o llama-cpp.h https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/include/llama-cpp.h
900 Bytes
| struct llama_model_deleter { | |
| void operator()(llama_model * model) { llama_model_free(model); } | |
| }; | |
| struct llama_context_deleter { | |
| void operator()(llama_context * context) { llama_free(context); } | |
| }; | |
| struct llama_sampler_deleter { | |
| void operator()(llama_sampler * sampler) { llama_sampler_free(sampler); } | |
| }; | |
| struct llama_adapter_lora_deleter { | |
| void operator()(llama_adapter_lora * adapter) { llama_adapter_lora_free(adapter); } | |
| }; | |
| typedef std::unique_ptr<llama_model, llama_model_deleter> llama_model_ptr; | |
| typedef std::unique_ptr<llama_context, llama_context_deleter> llama_context_ptr; | |
| typedef std::unique_ptr<llama_sampler, llama_sampler_deleter> llama_sampler_ptr; | |
| typedef std::unique_ptr<llama_adapter_lora, llama_adapter_lora_deleter> llama_adapter_lora_ptr; | |