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
| <script lang="ts"> | |
| import { ExternalLink } from '@lucide/svelte'; | |
| import { Badge } from '$lib/components/ui/badge'; | |
| import { McpLogo } from '$lib/components/app/mcp'; | |
| import { TruncatedText } from '$lib/components/app/misc'; | |
| import { sanitizeExternalUrl } from '$lib/utils'; | |
| import type { MCPServerInfo } from '$lib/types'; | |
| interface Props { | |
| displayName?: string; | |
| faviconUrl?: string | null; | |
| serverInfo?: MCPServerInfo; | |
| iconClass?: string; | |
| iconRounded?: string; | |
| showVersion?: boolean; | |
| showWebsite?: boolean; | |
| nameClass?: string; | |
| } | |
| let { | |
| displayName, | |
| faviconUrl = null, | |
| serverInfo, | |
| iconClass = 'h-5 w-5', | |
| iconRounded = 'rounded-sm', | |
| showVersion = true, | |
| showWebsite = true, | |
| nameClass | |
| }: Props = $props(); | |
| let safeWebsiteUrl = $derived( | |
| serverInfo?.websiteUrl ? sanitizeExternalUrl(serverInfo.websiteUrl) : null | |
| ); | |
| </script> | |
| <span class="flex min-w-0 items-center gap-1.5"> | |
| {#if faviconUrl} | |
| <img src={faviconUrl} alt="" class={['shrink-0 text-foreground', iconRounded, iconClass]} /> | |
| {:else} | |
| <McpLogo class={['shrink-0 text-foreground', iconRounded, iconClass].join(' ')} /> | |
| {/if} | |
| <TruncatedText text={displayName ?? ''} class={nameClass ?? ''} /> | |
| {#if showVersion && serverInfo?.version} | |
| <Badge variant="secondary" class="h-4 max-w-24 min-w-0 shrink px-1 text-[10px]"> | |
| <TruncatedText text={`v${serverInfo.version}`} /> | |
| </Badge> | |
| {/if} | |
| {#if showWebsite && safeWebsiteUrl} | |
| <a | |
| href={safeWebsiteUrl} | |
| target="_blank" | |
| rel="noopener noreferrer" | |
| class="shrink-0 text-muted-foreground hover:text-foreground" | |
| aria-label="Open website" | |
| onclick={(e) => e.stopPropagation()} | |
| > | |
| <ExternalLink class="h-3 w-3" /> | |
| </a> | |
| {/if} | |
| </span> | |