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/utils/attachment-display.ts from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 2.52 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/utils/attachment-display.ts
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/lib/utils/attachment-display.ts
-
curl -L -o attachment-display.ts https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/lib/utils/attachment-display.ts
2.52 kB
| import { AttachmentType, FileTypeCategory, SpecialFileType } from '$lib/enums'; | |
| import type { | |
| AttachmentDisplayItemsOptions, | |
| ChatAttachmentDisplayItem, | |
| ChatUploadedFile | |
| } from '$lib/types'; | |
| import { getFileTypeCategory, getFileTypeCategoryByExtension, isImageFile } from '$lib/utils'; | |
| /** | |
| * Check if a display item represents an MCP prompt | |
| * (either from attachment type or uploaded file with mcpPrompt metadata) | |
| */ | |
| export function isMcpPrompt(item: ChatAttachmentDisplayItem): boolean { | |
| if (item.attachment?.type === AttachmentType.MCP_PROMPT) { | |
| return true; | |
| } | |
| if (item.uploadedFile?.type === SpecialFileType.MCP_PROMPT && item.uploadedFile.mcpPrompt) { | |
| return true; | |
| } | |
| return false; | |
| } | |
| /** | |
| * Check if a display item represents an MCP resource | |
| */ | |
| export function isMcpResource(item: ChatAttachmentDisplayItem): boolean { | |
| return item.attachment?.type === AttachmentType.MCP_RESOURCE; | |
| } | |
| /** | |
| * Gets the file type category from an uploaded file, checking both MIME type and extension | |
| */ | |
| function getUploadedFileCategory(file: ChatUploadedFile): FileTypeCategory | null { | |
| const categoryByMime = getFileTypeCategory(file.type); | |
| if (categoryByMime) { | |
| return categoryByMime; | |
| } | |
| return getFileTypeCategoryByExtension(file.name); | |
| } | |
| /** | |
| * Creates a unified list of display items from uploaded files and stored attachments. | |
| * Items are returned in reverse order (newest first). | |
| */ | |
| export function getAttachmentDisplayItems( | |
| options: AttachmentDisplayItemsOptions | |
| ): ChatAttachmentDisplayItem[] { | |
| const { attachments = [], uploadedFiles = [] } = options; | |
| const items: ChatAttachmentDisplayItem[] = []; | |
| // Add uploaded files (ChatForm) | |
| for (const file of uploadedFiles) { | |
| items.push({ | |
| id: file.id, | |
| isImage: getUploadedFileCategory(file) === FileTypeCategory.IMAGE, | |
| isLoading: file.isLoading, | |
| loadError: file.loadError, | |
| name: file.name, | |
| preview: file.preview, | |
| size: file.size, | |
| textContent: file.textContent, | |
| uploadedFile: file | |
| }); | |
| } | |
| // Add stored attachments (ChatMessage) | |
| for (const [index, attachment] of attachments.entries()) { | |
| const isImage = isImageFile(attachment); | |
| items.push({ | |
| attachment, | |
| attachmentIndex: index, | |
| id: `attachment-${index}`, | |
| isImage, | |
| name: attachment.name, | |
| preview: isImage && 'base64Url' in attachment ? attachment.base64Url : undefined, | |
| size: 'size' in attachment ? attachment.size : undefined, | |
| textContent: 'content' in attachment ? attachment.content : undefined | |
| }); | |
| } | |
| return items.reverse(); | |
| } | |