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/ui/tests/unit/model-names.test.ts 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/ui/tests/unit/model-names.test.ts
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/tests/unit/model-names.test.ts
-
curl -L -o model-names.test.ts https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/tests/unit/model-names.test.ts
1.88 kB
| import { isValidModelName, normalizeModelName } from '$lib/utils/model-names'; | |
| import { describe, expect, it } from 'vitest'; | |
| describe('normalizeModelName', () => { | |
| it('preserves Hugging Face org/model format (single slash)', () => { | |
| // Single slash is treated as Hugging Face format and preserved | |
| expect(normalizeModelName('meta-llama/Llama-3.1-8B')).toBe('meta-llama/Llama-3.1-8B'); | |
| expect(normalizeModelName('models/model-name-1')).toBe('models/model-name-1'); | |
| }); | |
| it('extracts filename from multi-segment paths', () => { | |
| // Multiple slashes -> extract just the filename | |
| expect(normalizeModelName('path/to/model/model-name-2')).toBe('model-name-2'); | |
| expect(normalizeModelName('/absolute/path/to/model')).toBe('model'); | |
| }); | |
| it('extracts filename from backslash paths', () => { | |
| expect(normalizeModelName('C\\Models\\model-name-1')).toBe('model-name-1'); | |
| expect(normalizeModelName('path\\to\\model\\model-name-2')).toBe('model-name-2'); | |
| }); | |
| it('handles mixed path separators', () => { | |
| expect(normalizeModelName('path/to\\model/model-name-2')).toBe('model-name-2'); | |
| }); | |
| it('returns simple names as-is', () => { | |
| expect(normalizeModelName('simple-model')).toBe('simple-model'); | |
| expect(normalizeModelName('model-name-2')).toBe('model-name-2'); | |
| }); | |
| it('trims whitespace', () => { | |
| expect(normalizeModelName(' model-name ')).toBe('model-name'); | |
| }); | |
| it('returns empty string for empty input', () => { | |
| expect(normalizeModelName('')).toBe(''); | |
| expect(normalizeModelName(' ')).toBe(''); | |
| }); | |
| }); | |
| describe('isValidModelName', () => { | |
| it('returns true for valid names', () => { | |
| expect(isValidModelName('model')).toBe(true); | |
| expect(isValidModelName('path/to/model.bin')).toBe(true); | |
| }); | |
| it('returns false for empty values', () => { | |
| expect(isValidModelName('')).toBe(false); | |
| expect(isValidModelName(' ')).toBe(false); | |
| }); | |
| }); | |