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: 2,518 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 | import { setMessageEditContext } from '$lib/contexts';
import { MessageRole } from '$lib/enums';
import { parseFilesToMessageExtras } from '$lib/utils/convert-files-to-extra';
interface UseMessageEditContextOptions {
getContent: () => string;
getExtras: () => DatabaseMessageExtra[];
showSaveOnlyOption?: boolean;
onSave: (content: string, extras?: DatabaseMessageExtra[]) => void;
}
export function useMessageEditContext(options: UseMessageEditContextOptions) {
let isEditing = $state(false);
let editedContent = $state('');
let editedExtras = $state<DatabaseMessageExtra[]>([]);
let editedUploadedFiles = $state<ChatUploadedFile[]>([]);
function handleEdit() {
editedContent = options.getContent();
editedExtras = [...options.getExtras()];
editedUploadedFiles = [];
isEditing = true;
}
async function handleSaveEdit() {
const trimmed = editedContent.trim();
if (!trimmed && editedExtras.length === 0 && editedUploadedFiles.length === 0) return;
let finalExtras: DatabaseMessageExtra[] = $state.snapshot(editedExtras);
if (editedUploadedFiles.length > 0) {
const plainFiles = $state.snapshot(editedUploadedFiles);
const result = await parseFilesToMessageExtras(plainFiles);
const newExtras = result?.extras || [];
finalExtras = [...finalExtras, ...newExtras];
}
options.onSave(trimmed, finalExtras.length > 0 ? finalExtras : undefined);
isEditing = false;
}
function handleCancelEdit() {
isEditing = false;
}
setMessageEditContext({
get isEditing() {
return isEditing;
},
get editedContent() {
return editedContent;
},
get editedExtras() {
return editedExtras;
},
get editedUploadedFiles() {
return editedUploadedFiles;
},
get originalContent() {
return options.getContent();
},
get originalExtras() {
return options.getExtras();
},
get showSaveOnlyOption() {
return options.showSaveOnlyOption ?? false;
},
get showBranchAfterEditOption() {
return false;
},
get shouldBranchAfterEdit() {
return false;
},
get messageRole() {
return MessageRole.USER;
},
setContent: (c: string) => {
editedContent = c;
},
setExtras: (e: DatabaseMessageExtra[]) => {
editedExtras = e;
},
setUploadedFiles: (f: ChatUploadedFile[]) => {
editedUploadedFiles = f;
},
save: handleSaveEdit,
saveOnly: handleSaveEdit,
cancel: handleCancelEdit,
startEdit: handleEdit
});
return {
get isEditing() {
return isEditing;
},
handleEdit,
handleSaveEdit,
handleCancelEdit
};
}
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