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 * as AlertDialog from '$lib/components/ui/alert-dialog'; | |
| interface Props { | |
| open: boolean; | |
| fileErrorData: { | |
| generallyUnsupported: File[]; | |
| modalityUnsupported: File[]; | |
| modalityReasons: Record<string, string>; | |
| supportedTypes: string[]; | |
| }; | |
| onOpenChange?: (open: boolean) => void; | |
| } | |
| let { open = $bindable(), fileErrorData, onOpenChange }: Props = $props(); | |
| function handleOpenChange(newOpen: boolean) { | |
| open = newOpen; | |
| onOpenChange?.(newOpen); | |
| } | |
| </script> | |
| <AlertDialog.Root {open} onOpenChange={handleOpenChange}> | |
| <AlertDialog.Portal> | |
| <AlertDialog.Overlay /> | |
| <AlertDialog.Content class="flex max-w-md flex-col"> | |
| <AlertDialog.Header> | |
| <AlertDialog.Title>File Upload Error</AlertDialog.Title> | |
| <AlertDialog.Description class="text-sm text-muted-foreground"> | |
| Some files cannot be uploaded with the current model. | |
| </AlertDialog.Description> | |
| </AlertDialog.Header> | |
| <div class="!max-h-[50vh] min-h-0 flex-1 space-y-4 overflow-y-auto"> | |
| {#if fileErrorData.generallyUnsupported.length > 0} | |
| <div class="space-y-2"> | |
| <h4 class="text-sm font-medium text-destructive">Unsupported File Types</h4> | |
| <div class="space-y-1"> | |
| {#each fileErrorData.generallyUnsupported as file (file.name)} | |
| <div class="rounded-md bg-destructive/10 px-3 py-2"> | |
| <p class="font-mono text-sm break-all text-destructive"> | |
| {file.name} | |
| </p> | |
| <p class="mt-1 text-xs text-muted-foreground">File type not supported</p> | |
| </div> | |
| {/each} | |
| </div> | |
| </div> | |
| {/if} | |
| {#if fileErrorData.modalityUnsupported.length > 0} | |
| <div class="space-y-2"> | |
| <div class="space-y-1"> | |
| {#each fileErrorData.modalityUnsupported as file (file.name)} | |
| <div class="rounded-md bg-destructive/10 px-3 py-2"> | |
| <p class="font-mono text-sm break-all text-destructive"> | |
| {file.name} | |
| </p> | |
| <p class="mt-1 text-xs text-muted-foreground"> | |
| {fileErrorData.modalityReasons[file.name] || 'Not supported by current model'} | |
| </p> | |
| </div> | |
| {/each} | |
| </div> | |
| </div> | |
| {/if} | |
| </div> | |
| <div class="rounded-md bg-muted/50 p-3"> | |
| <h4 class="mb-2 text-sm font-medium">This model supports:</h4> | |
| <p class="text-sm text-muted-foreground"> | |
| {fileErrorData.supportedTypes.join(', ')} | |
| </p> | |
| </div> | |
| <AlertDialog.Footer> | |
| <AlertDialog.Action onclick={() => handleOpenChange(false)}>Got it</AlertDialog.Action> | |
| </AlertDialog.Footer> | |
| </AlertDialog.Content> | |
| </AlertDialog.Portal> | |
| </AlertDialog.Root> | |