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.
- 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 Desktop
- 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
- Atomic Chat
File size: 1,619 Bytes
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import { Button } from '$lib/components/ui/button';
import * as AlertDialog from '$lib/components/ui/alert-dialog';
import { settingsStore } from '$lib/stores/settings.svelte';
import { RotateCcw } from '@lucide/svelte';
interface Props {
onReset?: () => void;
onSave?: () => void;
}
let { onReset, onSave }: Props = $props();
let showResetDialog = $state(false);
function handleResetClick() {
showResetDialog = true;
}
function handleConfirmReset() {
settingsStore.forceSyncWithServerDefaults();
onReset?.();
showResetDialog = false;
}
function handleSave() {
onSave?.();
}
</script>
<div class="sticky bottom-0 mx-auto mt-4 flex w-full justify-between p-6">
<div class="flex gap-2">
<Button variant="outline" onclick={handleResetClick}>
<RotateCcw class="h-3 w-3" />
Reset to default
</Button>
</div>
<Button onclick={handleSave}>Save settings</Button>
</div>
<AlertDialog.Root bind:open={showResetDialog}>
<AlertDialog.Content>
<AlertDialog.Header>
<AlertDialog.Title>Reset Settings to Default</AlertDialog.Title>
<AlertDialog.Description>
Are you sure you want to reset all settings to their default values? This will reset all
parameters to the values provided by the server's /props endpoint and remove all your custom
configurations.
</AlertDialog.Description>
</AlertDialog.Header>
<AlertDialog.Footer>
<AlertDialog.Cancel>Cancel</AlertDialog.Cancel>
<AlertDialog.Action onclick={handleConfirmReset}>Reset to Default</AlertDialog.Action>
</AlertDialog.Footer>
</AlertDialog.Content>
</AlertDialog.Root>
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