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 { Button } from '$lib/components/ui/button'; | |
| import * as Dialog from '$lib/components/ui/dialog'; | |
| import { McpServerForm } from '$lib/components/app/mcp'; | |
| import { mcpStore } from '$lib/stores/mcp.svelte'; | |
| import { conversationsStore } from '$lib/stores/conversations.svelte'; | |
| import { parseHeadersToArray, uuid } from '$lib/utils'; | |
| import { MCP_SERVER_ID_PREFIX } from '$lib/constants'; | |
| interface Props { | |
| open: boolean; | |
| onOpenChange?: (open: boolean) => void; | |
| } | |
| let { open = $bindable(), onOpenChange }: Props = $props(); | |
| let newServerUrl = $state(''); | |
| let newServerHeaders = $state(''); | |
| let newServerUrlError = $derived.by(() => { | |
| if (!newServerUrl.trim()) return 'URL is required'; | |
| try { | |
| new URL(newServerUrl); | |
| return null; | |
| } catch { | |
| return 'Invalid URL format'; | |
| } | |
| }); | |
| let newServerHeaderPairsValid = $derived( | |
| parseHeadersToArray(newServerHeaders).every((p) => p.key.trim() && p.value.trim()) | |
| ); | |
| let canSave = $derived(!newServerUrlError && newServerHeaderPairsValid); | |
| function handleOpenChange(value: boolean) { | |
| if (!value) { | |
| newServerUrl = ''; | |
| newServerHeaders = ''; | |
| } | |
| open = value; | |
| onOpenChange?.(value); | |
| } | |
| function saveNewServer() { | |
| if (!canSave) return; | |
| const newServerId = uuid() ?? `${MCP_SERVER_ID_PREFIX}-${Date.now()}`; | |
| mcpStore.addServer({ | |
| id: newServerId, | |
| enabled: true, | |
| url: newServerUrl.trim(), | |
| headers: newServerHeaders.trim() || undefined | |
| }); | |
| conversationsStore.setMcpServerOverride(newServerId, true); | |
| handleOpenChange(false); | |
| } | |
| function handleSubmit(event: SubmitEvent) { | |
| event.preventDefault(); | |
| saveNewServer(); | |
| } | |
| </script> | |
| <Dialog.Root {open} onOpenChange={handleOpenChange}> | |
| <Dialog.Content class="sm:max-w-md"> | |
| <Dialog.Header> | |
| <Dialog.Title>Add New Server</Dialog.Title> | |
| </Dialog.Header> | |
| <form onsubmit={handleSubmit} class="contents"> | |
| <div class="space-y-4 py-4"> | |
| <McpServerForm | |
| url={newServerUrl} | |
| headers={newServerHeaders} | |
| onUrlChange={(v) => (newServerUrl = v)} | |
| onHeadersChange={(v) => (newServerHeaders = v)} | |
| urlError={newServerUrl ? newServerUrlError : null} | |
| id="new-server" | |
| /> | |
| </div> | |
| <Dialog.Footer> | |
| <Button variant="secondary" size="sm" onclick={() => handleOpenChange(false)}> | |
| Cancel | |
| </Button> | |
| <Button variant="default" size="sm" type="submit" disabled={!canSave} aria-label="Save"> | |
| Add | |
| </Button> | |
| </Dialog.Footer> | |
| </form> | |
| </Dialog.Content> | |
| </Dialog.Root> | |