Safetensors
GGUF
Turkish
llama
Llama-3
instruct
finetune
chatml
gpt4
synthetic data
distillation
function calling
json mode
axolotl
roleplaying
chat
Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use tda45/TdAI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="tda45/TdAI", filename="llama.cpp/models/ggml-vocab-aquila.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tda45/TdAI 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 tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./llama-cli -hf tda45/TdAI
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./build/bin/llama-cli -hf tda45/TdAI
Use Docker
docker model run hf.co/tda45/TdAI
- LM Studio
- Jan
- Ollama
How to use tda45/TdAI with Ollama:
ollama run hf.co/tda45/TdAI
- Unsloth Studio
How to use tda45/TdAI with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tda45/TdAI to start chatting
- Atomic Chat new
- Docker Model Runner
How to use tda45/TdAI with Docker Model Runner:
docker model run hf.co/tda45/TdAI
- Lemonade
How to use tda45/TdAI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tda45/TdAI
Run and chat with the model
lemonade run user.TdAI-{{QUANT_TAG}}List all available models
lemonade list
TdAI / llama.cpp /tools /ui /src /lib /components /app /chat /ChatScreen /ChatScreenProcessingInfo.svelte
| <script lang="ts"> | |
| import { untrack } from 'svelte'; | |
| import { PROCESSING_INFO_TIMEOUT } from '$lib/constants'; | |
| import { useProcessingState } from '$lib/hooks/use-processing-state.svelte'; | |
| import { chatStore, isLoading, isChatStreaming } from '$lib/stores/chat.svelte'; | |
| import { activeMessages, activeConversation } from '$lib/stores/conversations.svelte'; | |
| import { config } from '$lib/stores/settings.svelte'; | |
| const processingState = useProcessingState(); | |
| let isCurrentConversationLoading = $derived(isLoading()); | |
| let isStreaming = $derived(isChatStreaming()); | |
| let processingDetails = $derived(processingState.getTechnicalDetails()); | |
| let processingVisible = $derived(processingDetails.length > 0); | |
| let { onVisibilityChange }: { onVisibilityChange?: (visible: boolean) => void } = $props(); | |
| $effect(() => { | |
| onVisibilityChange?.(processingVisible); | |
| }); | |
| $effect(() => { | |
| const conversation = activeConversation(); | |
| untrack(() => chatStore.setActiveProcessingConversation(conversation?.id ?? null)); | |
| }); | |
| $effect(() => { | |
| const keepStatsVisible = config().keepStatsVisible; | |
| const shouldMonitor = keepStatsVisible || isCurrentConversationLoading || isStreaming; | |
| if (shouldMonitor) { | |
| processingState.startMonitoring(); | |
| } | |
| if (!isCurrentConversationLoading && !isStreaming && !keepStatsVisible) { | |
| const timeout = setTimeout(() => { | |
| if (!config().keepStatsVisible && !isChatStreaming()) { | |
| processingState.stopMonitoring(); | |
| } | |
| }, PROCESSING_INFO_TIMEOUT); | |
| return () => clearTimeout(timeout); | |
| } | |
| }); | |
| $effect(() => { | |
| const conversation = activeConversation(); | |
| const messages = activeMessages() as DatabaseMessage[]; | |
| const keepStatsVisible = config().keepStatsVisible; | |
| if (keepStatsVisible && conversation) { | |
| if (messages.length === 0) { | |
| untrack(() => chatStore.clearProcessingState(conversation.id)); | |
| return; | |
| } | |
| if (!isCurrentConversationLoading && !isStreaming) { | |
| untrack(() => chatStore.restoreProcessingStateFromMessages(messages, conversation.id)); | |
| } | |
| } | |
| }); | |
| </script> | |
| <div | |
| class={[ | |
| 'chat-processing-info-container pointer-events-none relative w-full hidden md:block', | |
| processingVisible && 'visible' | |
| ]} | |
| > | |
| <div class="chat-processing-info-content absolute bottom-4 left-1/2 -translate-x-1/2"> | |
| {#each processingDetails as detail (detail)} | |
| <span class="chat-processing-info-detail pointer-events-auto backdrop-blur-sm">{detail}</span> | |
| {/each} | |
| </div> | |
| </div> | |
| <style> | |
| .chat-processing-info-container { | |
| position: sticky; | |
| top: 0; | |
| z-index: 10; | |
| padding: 0 1rem 0.75rem; | |
| opacity: 0; | |
| transform: translateY(50%); | |
| transition: | |
| opacity 300ms ease-out, | |
| transform 300ms ease-out; | |
| } | |
| .chat-processing-info-container.visible { | |
| opacity: 1; | |
| transform: translateY(0); | |
| } | |
| .chat-processing-info-content { | |
| display: flex; | |
| flex-wrap: wrap; | |
| align-items: center; | |
| gap: 1rem; | |
| justify-content: center; | |
| max-width: 48rem; | |
| margin: 0 auto; | |
| } | |
| .chat-processing-info-detail { | |
| color: var(--muted-foreground); | |
| font-size: 0.75rem; | |
| padding: 0.25rem 0.75rem; | |
| border-radius: 0.375rem; | |
| font-family: | |
| ui-monospace, SFMono-Regular, 'SF Mono', Consolas, 'Liberation Mono', Menlo, monospace; | |
| white-space: nowrap; | |
| } | |
| @media (max-width: 768px) { | |
| .chat-processing-info-content { | |
| gap: 0.5rem; | |
| } | |
| .chat-processing-info-detail { | |
| font-size: 0.7rem; | |
| padding: 0.2rem 0.5rem; | |
| } | |
| } | |
| </style> | |