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.
- Libraries
- llama-cpp-python
How to use tda45/TdAI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="tda45/TdAI", filename="llama.cpp/models/ggml-vocab-aquila.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- 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
| #!/usr/bin/env python | |
| import pytest | |
| # ensure grandparent path is in sys.path | |
| from pathlib import Path | |
| import sys | |
| from unit.test_tool_call import TEST_TOOL | |
| path = Path(__file__).resolve().parents[1] | |
| sys.path.insert(0, str(path)) | |
| import datetime | |
| from utils import * | |
| from typing import Literal | |
| server: ServerProcess | |
| def create_server(): | |
| global server | |
| server = ServerPreset.tinyllama2() | |
| server.model_alias = "tinyllama-2" | |
| server.n_slots = 1 | |
| def test_reasoning(template_name: str, reasoning: Literal['on', 'off', 'auto'] | None, expected_end: str, tools: list[dict]): | |
| global server | |
| server.jinja = True | |
| server.reasoning = reasoning | |
| server.chat_template_file = f'../../../models/templates/{template_name}.jinja' | |
| server.start() | |
| res = server.make_request("POST", "/apply-template", data={ | |
| "messages": [ | |
| {"role": "user", "content": "What is today?"}, | |
| ], | |
| "tools": tools, | |
| }) | |
| assert res.status_code == 200 | |
| prompt = res.body["prompt"] | |
| assert prompt.endswith(expected_end), f"Expected prompt to end with '{expected_end}', got '{prompt}'" | |
| def test_date_inside_prompt(template_name: str, format: str, tools: list[dict]): | |
| global server | |
| server.jinja = True | |
| server.chat_template_file = f'../../../models/templates/{template_name}.jinja' | |
| server.start() | |
| res = server.make_request("POST", "/apply-template", data={ | |
| "messages": [ | |
| {"role": "user", "content": "What is today?"}, | |
| ], | |
| "tools": tools, | |
| }) | |
| assert res.status_code == 200 | |
| prompt = res.body["prompt"] | |
| today_str = datetime.date.today().strftime(format) | |
| assert today_str in prompt, f"Expected today's date ({today_str}) in content ({prompt})" | |
| def test_add_generation_prompt(template_name: str, expected_generation_prompt: str, add_generation_prompt: bool): | |
| global server | |
| server.jinja = True | |
| server.chat_template_file = f'../../../models/templates/{template_name}.jinja' | |
| server.start() | |
| res = server.make_request("POST", "/apply-template", data={ | |
| "messages": [ | |
| {"role": "user", "content": "What is today?"}, | |
| ], | |
| "add_generation_prompt": add_generation_prompt, | |
| }) | |
| assert res.status_code == 200 | |
| prompt = res.body["prompt"] | |
| if add_generation_prompt: | |
| assert expected_generation_prompt in prompt, f"Expected generation prompt ({expected_generation_prompt}) in content ({prompt})" | |
| else: | |
| assert expected_generation_prompt not in prompt, f"Did not expect generation prompt ({expected_generation_prompt}) in content ({prompt})" | |