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
File size: 2,518 Bytes
c59fd93 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 | 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();
}
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