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/abort.test.ts from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 2.31 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/tests/unit/abort.test.ts
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/tests/unit/abort.test.ts
-
curl -L -o abort.test.ts https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/tests/unit/abort.test.ts
2.31 kB
| import { isAbortError } from '$lib/utils/abort'; | |
| import { describe, expect, it } from 'vitest'; | |
| describe('isAbortError', () => { | |
| it('returns false for null, undefined and non-error values', () => { | |
| expect(isAbortError(null)).toBe(false); | |
| expect(isAbortError(undefined)).toBe(false); | |
| expect(isAbortError('string error')).toBe(false); | |
| expect(isAbortError({ name: 'AbortError' })).toBe(false); | |
| expect(isAbortError(42)).toBe(false); | |
| }); | |
| it('returns true for DOMException with AbortError name', () => { | |
| const err = new DOMException('Operation was aborted', 'AbortError'); | |
| expect(isAbortError(err)).toBe(true); | |
| }); | |
| it('returns true for plain Error with AbortError name', () => { | |
| const err = new Error('aborted'); | |
| err.name = 'AbortError'; | |
| expect(isAbortError(err)).toBe(true); | |
| }); | |
| it('returns false for unrelated Error instances', () => { | |
| expect(isAbortError(new Error('something failed'))).toBe(false); | |
| expect(isAbortError(new TypeError('not related'))).toBe(false); | |
| expect(isAbortError(new RangeError('out of range'))).toBe(false); | |
| }); | |
| it('recognizes Firefox TypeError "Error in input stream" emitted at page unload', () => { | |
| expect(isAbortError(new TypeError('Error in input stream'))).toBe(true); | |
| expect(isAbortError(new TypeError('TypeError: Error in input stream'))).toBe(true); | |
| }); | |
| it('recognizes Safari "The network connection was lost" during transient drop', () => { | |
| expect(isAbortError(new TypeError('The network connection was lost.'))).toBe(true); | |
| }); | |
| it('recognizes Safari "Load failed" during page navigation', () => { | |
| expect(isAbortError(new TypeError('Load failed'))).toBe(true); | |
| }); | |
| it('does NOT recognize generic TypeError messages as aborts', () => { | |
| // matching too broadly would hide real bugs, the predicate must stay conservative | |
| expect(isAbortError(new TypeError('Failed to fetch'))).toBe(false); | |
| expect(isAbortError(new TypeError('Cannot read property of undefined'))).toBe(false); | |
| expect(isAbortError(new TypeError('NetworkError when attempting to fetch resource'))).toBe( | |
| false | |
| ); | |
| }); | |
| it('is case insensitive on the matched substrings', () => { | |
| expect(isAbortError(new TypeError('error in INPUT STREAM'))).toBe(true); | |
| expect(isAbortError(new TypeError('the network connection WAS LOST'))).toBe(true); | |
| }); | |
| }); | |