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
- 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
File size: 4,966 Bytes
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import { tick } from 'svelte';
import { Plus, Trash2 } from '@lucide/svelte';
import { Input } from '$lib/components/ui/input';
import {
autoResizeTextarea,
sanitizeKeyValuePairKey,
sanitizeKeyValuePairValue
} from '$lib/utils';
import { KEY_VALUE_PAIR_KEY_MAX_LENGTH, KEY_VALUE_PAIR_VALUE_MAX_LENGTH } from '$lib/constants';
import type { KeyValuePair } from '$lib/types';
interface Props {
class?: string;
pairs: KeyValuePair[];
onPairsChange: (pairs: KeyValuePair[]) => void;
keyPlaceholder?: string;
valuePlaceholder?: string;
addButtonLabel?: string;
emptyMessage?: string;
sectionLabel?: string;
sectionLabelOptional?: boolean;
}
let {
class: className = '',
pairs,
onPairsChange,
keyPlaceholder = 'Key',
valuePlaceholder = 'Value',
addButtonLabel = 'Add',
emptyMessage = 'No items configured.',
sectionLabel,
sectionLabelOptional = true
}: Props = $props();
// Pre-allocate the ref array so `bind:ref={keyInputRefs[index]}` never reads `undefined`
// for in-range indices; the $effect below keeps it in sync when `pairs` grows.
// svelte-ignore state_referenced_locally
let keyInputRefs: (HTMLInputElement | null)[] = $state(pairs.map(() => null));
async function addPair() {
// Capture the target index before mutating so deletions earlier in the
// list can't make keyInputRefs.length drift past the newly-appended row.
const newIndex = pairs.length;
onPairsChange([...pairs, { key: '', value: '' }]);
await tick();
keyInputRefs[newIndex]?.focus();
}
function removePair(index: number) {
onPairsChange(pairs.filter((_, i) => i !== index));
}
function updatePairKey(index: number, rawKey: string) {
const key = sanitizeKeyValuePairKey(rawKey);
const newPairs = [...pairs];
newPairs[index] = { ...newPairs[index], key };
onPairsChange(newPairs);
}
function trimPairKey(index: number, key: string) {
const trimmed = key.trim();
if (trimmed === key) return;
const newPairs = [...pairs];
newPairs[index] = { ...newPairs[index], key: trimmed };
onPairsChange(newPairs);
}
function updatePairValue(index: number, rawValue: string) {
const value = sanitizeKeyValuePairValue(rawValue);
const newPairs = [...pairs];
newPairs[index] = { ...newPairs[index], value };
onPairsChange(newPairs);
}
function trimPairValue(index: number, value: string) {
const trimmed = value.trim();
if (trimmed === value) return;
const newPairs = [...pairs];
newPairs[index] = { ...newPairs[index], value: trimmed };
onPairsChange(newPairs);
}
// Keep keyInputRefs aligned with pairs length so bind:ref never sees `undefined`.
// $effect.pre runs during traversal in tree order, before the {#each} block re-renders,
// so newly-appended items always have a defined slot when their binding is set up.
$effect.pre(() => {
while (keyInputRefs.length < pairs.length) {
keyInputRefs.push(null);
}
});
</script>
<div class={className}>
<div class="mb-2 flex items-center justify-between">
{#if sectionLabel}
<span class="text-xs font-medium">
{sectionLabel}
{#if sectionLabelOptional}
<span class="text-muted-foreground">(optional)</span>
{/if}
</span>
{/if}
<button
type="button"
class="inline-flex cursor-pointer items-center gap-1 rounded-md px-1.5 py-1 text-xs text-muted-foreground hover:bg-muted hover:text-foreground"
onclick={addPair}
>
<Plus class="h-3 w-3" />
{addButtonLabel}
</button>
</div>
{#if pairs.length > 0}
<div class="space-y-3">
{#each pairs as pair, index (index)}
<div class="flex items-start gap-2">
<Input
bind:ref={keyInputRefs[index]}
type="text"
placeholder={keyPlaceholder}
value={pair.key}
maxlength={KEY_VALUE_PAIR_KEY_MAX_LENGTH}
oninput={(e) => updatePairKey(index, e.currentTarget.value)}
onblur={(e) => trimPairKey(index, e.currentTarget.value)}
class="flex-1"
/>
<textarea
use:autoResizeTextarea
placeholder={valuePlaceholder}
value={pair.value}
maxlength={KEY_VALUE_PAIR_VALUE_MAX_LENGTH}
oninput={(e) => {
updatePairValue(index, e.currentTarget.value);
autoResizeTextarea(e.currentTarget);
}}
onblur={(e) => trimPairValue(index, e.currentTarget.value)}
class="flex-1 resize-none rounded-md border border-input bg-transparent px-3 py-2 text-sm leading-5 placeholder:text-muted-foreground focus-visible:ring-1 focus-visible:ring-ring focus-visible:outline-none"
rows="1"
></textarea>
<button
type="button"
class="mt-1.5 shrink-0 cursor-pointer rounded-md p-1 text-muted-foreground hover:bg-destructive/10 hover:text-destructive"
onclick={() => removePair(index)}
aria-label="Remove item"
>
<Trash2 class="h-3.5 w-3.5" />
</button>
</div>
{/each}
</div>
{:else}
<p class="text-xs text-muted-foreground">{emptyMessage}</p>
{/if}
</div>
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