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 tools/server/server-chat.h from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 853 Bytes
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/server/server-chat.h
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/server/server-chat.h
-
curl -L -o server-chat.h https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/server/server-chat.h
853 Bytes
| // Chat conversion functions for server (Responses API, Anthropic API, OAI streaming diffs) | |
| // Convert OpenAI Responses API format to OpenAI Chat Completions API format | |
| json server_chat_convert_responses_to_chatcmpl(const json & body); | |
| // Convert Anthropic Messages API format to OpenAI Chat Completions API format | |
| json server_chat_convert_anthropic_to_oai(const json & body); | |
| // convert OpenAI transcriptions API format to OpenAI Chat Completions API format | |
| json convert_transcriptions_to_chatcmpl( | |
| const json & body, | |
| const common_chat_templates * tmpls, | |
| const std::map<std::string, uploaded_file> & in_files, | |
| std::vector<raw_buffer> & out_files); | |
| json server_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff); | |