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: 2,508 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 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 | <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>
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