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
- 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
| { inputs, ... }: | |
| { | |
| # The _module.args definitions are passed on to modules as arguments. E.g. | |
| # the module `{ pkgs ... }: { /* config */ }` implicitly uses | |
| # `_module.args.pkgs` (defined in this case by flake-parts). | |
| perSystem = | |
| { lib, system, ... }: | |
| { | |
| _module.args = { | |
| # Note: bringing up https://zimbatm.com/notes/1000-instances-of-nixpkgs | |
| # again, the below creates several nixpkgs instances which the | |
| # flake-centric CLI will be forced to evaluate e.g. on `nix flake show`. | |
| # | |
| # This is currently "slow" and "expensive", on a certain scale. | |
| # This also isn't "right" in that this hinders dependency injection at | |
| # the level of flake inputs. This might get removed in the foreseeable | |
| # future. | |
| # | |
| # Note that you can use these expressions without Nix | |
| # (`pkgs.callPackage ./devops/nix/scope.nix { }` is the entry point). | |
| pkgsCuda = import inputs.nixpkgs { | |
| inherit system; | |
| # Ensure dependencies use CUDA consistently (e.g. that openmpi, ucc, | |
| # and ucx are built with CUDA support) | |
| config.cudaSupport = true; | |
| config.allowUnfreePredicate = | |
| p: | |
| builtins.all ( | |
| license: | |
| license.free | |
| || builtins.elem license.shortName [ | |
| "CUDA EULA" | |
| "cuDNN EULA" | |
| ] | |
| ) (p.meta.licenses or (lib.toList p.meta.license)); | |
| }; | |
| # Ensure dependencies use ROCm consistently | |
| pkgsRocm = import inputs.nixpkgs { | |
| inherit system; | |
| config.rocmSupport = true; | |
| }; | |
| }; | |
| }; | |
| } | |