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/src/lib/services/parameter-sync.service.spec.ts from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 4.01 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/services/parameter-sync.service.spec.ts
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/services/parameter-sync.service.spec.ts
-
curl -L -o parameter-sync.service.spec.ts https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/services/parameter-sync.service.spec.ts
4.01 kB
| import { ParameterSyncService } from './parameter-sync.service'; | |
| import { describe, expect, it } from 'vitest'; | |
| describe('ParameterSyncService', () => { | |
| describe('roundFloatingPoint', () => { | |
| it('should fix JavaScript floating-point precision issues', () => { | |
| // Test the specific values from the screenshot | |
| const mockServerParams = { | |
| min_p: 0.009999999776482582, | |
| samplers: ['top_k', 'typ_p', 'top_p', 'min_p', 'temperature'], | |
| temperature: 0.800000011920929, | |
| top_k: 40, | |
| top_p: 0.949999988079071 | |
| }; | |
| const result = ParameterSyncService.extractServerDefaults({ | |
| ...mockServerParams, | |
| chat_format: '', | |
| dry_allowed_length: 2, | |
| dry_base: 1.75, | |
| dry_multiplier: 0.0, | |
| dry_penalty_last_n: 64, | |
| dry_sequence_breakers: [], | |
| dynatemp_exponent: 1.0, | |
| dynatemp_range: 0.0, | |
| frequency_penalty: 0.0, | |
| generation_prompt: '', | |
| grammar: '', | |
| grammar_lazy: false, | |
| grammar_triggers: [], | |
| ignore_eos: false, | |
| logit_bias: [], | |
| lora: [], | |
| max_tokens: -1, | |
| min_keep: 0, | |
| mirostat: 0, | |
| mirostat_eta: 0.1, | |
| mirostat_tau: 5.0, | |
| n_discard: 0, | |
| n_keep: 0, | |
| // Add other required fields to match the API type | |
| n_predict: 512, | |
| n_probs: 0, | |
| post_sampling_probs: false, | |
| presence_penalty: 0.0, | |
| preserved_tokens: [], | |
| reasoning_format: '', | |
| reasoning_in_content: false, | |
| repeat_last_n: 64, | |
| repeat_penalty: 1.0, | |
| seed: -1, | |
| 'speculative.n_max': 0, | |
| 'speculative.n_min': 0, | |
| 'speculative.p_min': 0.0, | |
| stop: [], | |
| stream: true, | |
| timings_per_token: false, | |
| top_n_sigma: 0.0, | |
| typ_p: 1.0, | |
| xtc_probability: 0.0, | |
| xtc_threshold: 0.1 | |
| } as ApiLlamaCppServerProps['default_generation_settings']['params']); | |
| // Check that the problematic floating-point values are rounded correctly | |
| expect(result.top_p).toBe(0.95); | |
| expect(result.min_p).toBe(0.01); | |
| expect(result.temperature).toBe(0.8); | |
| expect(result.top_k).toBe(40); // Integer should remain unchanged | |
| expect(result.samplers).toBe('top_k;typ_p;top_p;min_p;temperature'); | |
| }); | |
| it('should preserve non-numeric values', () => { | |
| const mockServerParams = { | |
| max_tokens: -1, | |
| samplers: ['top_k', 'temperature'], | |
| temperature: 0.7 | |
| }; | |
| const result = ParameterSyncService.extractServerDefaults({ | |
| ...mockServerParams, | |
| chat_format: '', | |
| dry_allowed_length: 2, | |
| dry_base: 1.75, | |
| dry_multiplier: 0.0, | |
| dry_penalty_last_n: 64, | |
| dry_sequence_breakers: [], | |
| dynatemp_exponent: 1.0, | |
| dynatemp_range: 0.0, | |
| frequency_penalty: 0.0, | |
| generation_prompt: '', | |
| grammar: '', | |
| grammar_lazy: false, | |
| grammar_triggers: [], | |
| ignore_eos: false, | |
| logit_bias: [], | |
| lora: [], | |
| min_keep: 0, | |
| min_p: 0.05, | |
| mirostat: 0, | |
| mirostat_eta: 0.1, | |
| mirostat_tau: 5.0, | |
| n_discard: 0, | |
| n_keep: 0, | |
| // Minimal required fields | |
| n_predict: 512, | |
| n_probs: 0, | |
| post_sampling_probs: false, | |
| presence_penalty: 0.0, | |
| preserved_tokens: [], | |
| reasoning_format: '', | |
| reasoning_in_content: false, | |
| repeat_last_n: 64, | |
| repeat_penalty: 1.0, | |
| seed: -1, | |
| 'speculative.n_max': 0, | |
| 'speculative.n_min': 0, | |
| 'speculative.p_min': 0.0, | |
| stop: [], | |
| stream: true, | |
| timings_per_token: false, | |
| top_k: 40, | |
| top_n_sigma: 0.0, | |
| top_p: 0.95, | |
| typ_p: 1.0, | |
| xtc_probability: 0.0, | |
| xtc_threshold: 0.1 | |
| } as ApiLlamaCppServerProps['default_generation_settings']['params']); | |
| expect(result.samplers).toBe('top_k;temperature'); | |
| expect(result.max_tokens).toBe(-1); | |
| expect(result.temperature).toBe(0.7); | |
| }); | |
| it('extracts sampling twins only, never ui settings', () => { | |
| const result = ParameterSyncService.extractServerDefaults(null); | |
| expect(result).toEqual({}); | |
| expect(ParameterSyncService.canSyncParameter('theme')).toBe(false); | |
| expect(ParameterSyncService.canSyncParameter('pdfAsImage')).toBe(false); | |
| expect(ParameterSyncService.canSyncParameter('temperature')).toBe(true); | |
| }); | |
| }); | |
| }); | |