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 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
- 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: 1,601 Bytes
15c3607 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | <script lang="ts">
import { Package } from '@lucide/svelte';
import { BadgeInfo, ActionIconCopyToClipboard } from '$lib/components/app';
import ModelId from './ModelId.svelte';
import { modelsStore } from '$lib/stores/models.svelte';
import { serverStore } from '$lib/stores/server.svelte';
import * as Tooltip from '$lib/components/ui/tooltip';
interface Props {
class?: string;
model?: string;
onclick?: () => void;
showCopyIcon?: boolean;
showTooltip?: boolean;
}
let {
class: className = '',
model: modelProp,
onclick,
showCopyIcon = false,
showTooltip = false
}: Props = $props();
let model = $derived(modelProp || modelsStore.singleModelName);
let isModelMode = $derived(serverStore.isModelMode);
let shouldShow = $derived(model && (modelProp !== undefined || isModelMode));
</script>
{#snippet badgeContent(triggerProps?: Record<string, unknown>)}
<BadgeInfo {...triggerProps ?? {}} class={className} {onclick}>
{#snippet icon()}
<Package class="h-3 w-3" />
{/snippet}
{#if model}
<ModelId modelId={model} />
{/if}
{#if showCopyIcon}
<ActionIconCopyToClipboard text={model || ''} ariaLabel="Copy model name" />
{/if}
</BadgeInfo>
{/snippet}
{#if shouldShow}
{#if showTooltip}
<Tooltip.Root>
<Tooltip.Trigger>
<!-- prevent another nested button element -->
{#snippet child({ props })}
{@render badgeContent(props)}
{/snippet}
</Tooltip.Trigger>
<Tooltip.Content>
{onclick ? 'Click for model details' : model}
</Tooltip.Content>
</Tooltip.Root>
{:else}
{@render badgeContent()}
{/if}
{/if}
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