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
| // __ _____ _____ _____ | |
| // __| | __| | | | JSON for Modern C++ | |
| // | | |__ | | | | | | version 3.12.0 | |
| // |_____|_____|_____|_|___| https://github.com/nlohmann/json | |
| // | |
| // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann <https://nlohmann.me> | |
| // SPDX-License-Identifier: MIT | |
| // #include <nlohmann/detail/abi_macros.hpp> | |
| // __ _____ _____ _____ | |
| // __| | __| | | | JSON for Modern C++ | |
| // | | |__ | | | | | | version 3.12.0 | |
| // |_____|_____|_____|_|___| https://github.com/nlohmann/json | |
| // | |
| // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann <https://nlohmann.me> | |
| // SPDX-License-Identifier: MIT | |
| // This file contains all macro definitions affecting or depending on the ABI | |
| // Construct the namespace ABI tags component | |
| // Construct the namespace version component | |
| // Combine namespace components | |
| /*! | |
| @brief namespace for Niels Lohmann | |
| @see https://github.com/nlohmann | |
| @since version 1.0.0 | |
| */ | |
| NLOHMANN_JSON_NAMESPACE_BEGIN | |
| /*! | |
| @brief default JSONSerializer template argument | |
| This serializer ignores the template arguments and uses ADL | |
| ([argument-dependent lookup](https://en.cppreference.com/w/cpp/language/adl)) | |
| for serialization. | |
| */ | |
| template<typename T = void, typename SFINAE = void> | |
| struct adl_serializer; | |
| /// a class to store JSON values | |
| /// @sa https://json.nlohmann.me/api/basic_json/ | |
| template<template<typename U, typename V, typename... Args> class ObjectType = | |
| std::map, | |
| template<typename U, typename... Args> class ArrayType = std::vector, | |
| class StringType = std::string, class BooleanType = bool, | |
| class NumberIntegerType = std::int64_t, | |
| class NumberUnsignedType = std::uint64_t, | |
| class NumberFloatType = double, | |
| template<typename U> class AllocatorType = std::allocator, | |
| template<typename T, typename SFINAE = void> class JSONSerializer = | |
| adl_serializer, | |
| class BinaryType = std::vector<std::uint8_t>, // cppcheck-suppress syntaxError | |
| class CustomBaseClass = void> | |
| class basic_json; | |
| /// @brief JSON Pointer defines a string syntax for identifying a specific value within a JSON document | |
| /// @sa https://json.nlohmann.me/api/json_pointer/ | |
| template<typename RefStringType> | |
| class json_pointer; | |
| /*! | |
| @brief default specialization | |
| @sa https://json.nlohmann.me/api/json/ | |
| */ | |
| using json = basic_json<>; | |
| /// @brief a minimal map-like container that preserves insertion order | |
| /// @sa https://json.nlohmann.me/api/ordered_map/ | |
| template<class Key, class T, class IgnoredLess, class Allocator> | |
| struct ordered_map; | |
| /// @brief specialization that maintains the insertion order of object keys | |
| /// @sa https://json.nlohmann.me/api/ordered_json/ | |
| using ordered_json = basic_json<nlohmann::ordered_map>; | |
| NLOHMANN_JSON_NAMESPACE_END | |