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: 3,827 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 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 | <script lang="ts">
import * as Dialog from '$lib/components/ui/dialog';
import { Download } from '@lucide/svelte';
import { Button } from '$lib/components/ui/button';
import { mcpStore } from '$lib/stores/mcp.svelte';
import { SyntaxHighlightedCode, ActionIconCopyToClipboard } from '$lib/components/app';
import {
getLanguageFromFilename,
isCodeResource,
isImageResource,
downloadResourceContent
} from '$lib/utils';
import { MimeTypeIncludes, MimeTypeText } from '$lib/enums';
import { DEFAULT_RESOURCE_FILENAME } from '$lib/constants';
import type { DatabaseMessageExtraMcpResource } from '$lib/types';
interface Props {
open: boolean;
onOpenChange?: (open: boolean) => void;
extra: DatabaseMessageExtraMcpResource;
}
let { open = $bindable(), onOpenChange, extra }: Props = $props();
const serverName = $derived(mcpStore.getServerDisplayName(extra.serverName));
const favicon = $derived(mcpStore.getServerFavicon(extra.serverName));
function getLanguage(): string {
if (extra.mimeType?.includes(MimeTypeIncludes.JSON)) return MimeTypeIncludes.JSON;
if (extra.mimeType?.includes(MimeTypeIncludes.JAVASCRIPT)) return MimeTypeIncludes.JAVASCRIPT;
if (extra.mimeType?.includes(MimeTypeIncludes.TYPESCRIPT)) return MimeTypeIncludes.TYPESCRIPT;
const name = extra.name || extra.uri || '';
return getLanguageFromFilename(name) || 'plaintext';
}
function handleDownload() {
if (!extra.content) return;
downloadResourceContent(
extra.content,
extra.mimeType || MimeTypeText.PLAIN,
extra.name || DEFAULT_RESOURCE_FILENAME
);
}
</script>
<Dialog.Root bind:open {onOpenChange}>
<Dialog.Content class="grid max-h-[90vh] max-w-5xl overflow-hidden sm:w-auto sm:max-w-6xl">
<Dialog.Header>
<Dialog.Title class="pr-8">{extra.name}</Dialog.Title>
<Dialog.Description>
<div class="flex items-center gap-2">
<span class="text-xs text-muted-foreground">{extra.uri}</span>
{#if serverName}
<span class="flex items-center gap-1 text-xs text-muted-foreground">
·
{#if favicon}
<img
src={favicon}
alt=""
class="h-3 w-3 shrink-0 rounded-sm"
onerror={(e) => {
(e.currentTarget as HTMLImageElement).style.display = 'none';
}}
/>
{/if}
{serverName}
</span>
{/if}
{#if extra.mimeType}
<span class="rounded bg-muted px-1.5 py-0.5 text-xs">{extra.mimeType}</span>
{/if}
</div>
</Dialog.Description>
</Dialog.Header>
<div class="flex items-center justify-end gap-1">
<ActionIconCopyToClipboard
text={extra.content}
canCopy={!!extra.content}
ariaLabel="Copy content"
/>
<Button
variant="ghost"
size="sm"
class="h-7 w-7 p-0"
onclick={handleDownload}
disabled={!extra.content}
title="Download content"
>
<Download class="h-3.5 w-3.5" />
</Button>
</div>
<div class="overflow-auto">
{#if isImageResource(extra.mimeType, extra.uri) && extra.content}
<div class="flex items-center justify-center">
<img
src={extra.content.startsWith('data:')
? extra.content
: `data:${extra.mimeType || 'image/png'};base64,${extra.content}`}
alt={extra.name}
class="max-h-[70vh] max-w-full rounded object-contain"
/>
</div>
{:else if isCodeResource(extra.mimeType, extra.uri) && extra.content}
<SyntaxHighlightedCode code={extra.content} language={getLanguage()} maxHeight="70vh" />
{:else if extra.content}
<pre
class="max-h-[70vh] overflow-auto rounded-md border bg-muted/30 p-4 font-mono text-sm break-words whitespace-pre-wrap">{extra.content}</pre>
{:else}
<div class="py-8 text-center text-sm text-muted-foreground">No content available</div>
{/if}
</div>
</Dialog.Content>
</Dialog.Root>
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