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
| { | |
| lib, | |
| stdenv, | |
| buildPythonPackage, | |
| poetry-core, | |
| mkShell, | |
| python3Packages, | |
| gguf-py, | |
| }@inputs: | |
| let | |
| llama-python-deps = with python3Packages; [ | |
| numpy | |
| sentencepiece | |
| transformers | |
| protobuf | |
| torchWithoutCuda | |
| gguf-py | |
| tqdm | |
| # for scripts/compare-llama-bench.py | |
| gitpython | |
| tabulate | |
| # for examples/pydantic-models-to-grammar-examples.py | |
| docstring-parser | |
| pydantic | |
| ]; | |
| llama-python-test-deps = with python3Packages; [ | |
| # Server bench | |
| matplotlib | |
| # server tests | |
| openai | |
| pytest | |
| prometheus-client | |
| ]; | |
| in | |
| buildPythonPackage ({ | |
| pname = "llama-scripts"; | |
| version = "0.0.0"; | |
| pyproject = true; | |
| # NOTE: The files filtered out here are not visible in the build sandbox, neither | |
| # do they affect the output hash. They can be modified without triggering a rebuild. | |
| src = lib.cleanSourceWith { | |
| filter = | |
| name: type: | |
| let | |
| any = builtins.any (x: x); | |
| baseName = builtins.baseNameOf name; | |
| in | |
| any [ | |
| (lib.hasSuffix ".py" name) | |
| (baseName == "README.md") | |
| (baseName == "pyproject.toml") | |
| ]; | |
| src = lib.cleanSource ../../.; | |
| }; | |
| nativeBuildInputs = [ poetry-core ]; | |
| nativeCheckInputs = llama-python-test-deps; | |
| dependencies = llama-python-deps; | |
| }) | |