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/tests/unit/test_proxy.py from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 1.88 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/server/tests/unit/test_proxy.py
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/server/tests/unit/test_proxy.py
-
curl -L -o test_proxy.py https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/server/tests/unit/test_proxy.py
1.88 kB
| import pytest | |
| from utils import * | |
| import threading | |
| from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer | |
| server = ServerPreset.tinyllama2() | |
| def create_server(): | |
| global server | |
| server = ServerPreset.tinyllama2() | |
| def test_mcp_no_proxy(): | |
| global server | |
| server.ui_mcp_proxy = False | |
| server.start() | |
| res = server.make_request("GET", "/cors-proxy") | |
| assert res.status_code == 403 | |
| def test_mcp_proxy(): | |
| global server | |
| server.ui_mcp_proxy = True | |
| server.start() | |
| url = f"http://{server.server_host}:{server.server_port}/cors-proxy?url=http://example.com" | |
| res = requests.get(url) | |
| assert res.status_code == 200 | |
| assert "Example Domain" in res.text | |
| def test_mcp_proxy_custom_port(): | |
| global server | |
| server.ui_mcp_proxy = True | |
| server.start() | |
| # try getting the server's models API via the proxy | |
| res = server.make_request("GET", f"/cors-proxy?url=http://{server.server_host}:{server.server_port}/models") | |
| assert res.status_code == 200 | |
| assert "data" in res.body | |
| def test_mcp_proxy_no_content(): | |
| # note: see issue #26598 | |
| class NoContentHandler(BaseHTTPRequestHandler): | |
| def do_POST(self): | |
| self.send_response(204) | |
| self.end_headers() | |
| def log_message(self, format, *args): | |
| pass | |
| target = ThreadingHTTPServer(("127.0.0.1", 0), NoContentHandler) | |
| target_thread = threading.Thread(target=target.serve_forever, daemon=True) | |
| target_thread.start() | |
| try: | |
| global server | |
| server.ui_mcp_proxy = True | |
| server.start() | |
| res = server.make_request("POST", f"/cors-proxy?url=http://127.0.0.1:{target.server_port}/", data={}) | |
| assert res.status_code == 204 | |
| assert res.body in (None, b"", "") | |
| finally: | |
| target.shutdown() | |
| target.server_close() | |