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
| enum llm_chat_template { | |
| LLM_CHAT_TEMPLATE_CHATML, | |
| LLM_CHAT_TEMPLATE_LLAMA_2, | |
| LLM_CHAT_TEMPLATE_LLAMA_2_SYS, | |
| LLM_CHAT_TEMPLATE_LLAMA_2_SYS_BOS, | |
| LLM_CHAT_TEMPLATE_LLAMA_2_SYS_STRIP, | |
| LLM_CHAT_TEMPLATE_MISTRAL_V1, | |
| LLM_CHAT_TEMPLATE_MISTRAL_V3, | |
| LLM_CHAT_TEMPLATE_MISTRAL_V3_TEKKEN, | |
| LLM_CHAT_TEMPLATE_MISTRAL_V7, | |
| LLM_CHAT_TEMPLATE_MISTRAL_V7_TEKKEN, | |
| LLM_CHAT_TEMPLATE_PHI_3, | |
| LLM_CHAT_TEMPLATE_PHI_4, | |
| LLM_CHAT_TEMPLATE_FALCON_3, | |
| LLM_CHAT_TEMPLATE_ZEPHYR, | |
| LLM_CHAT_TEMPLATE_MONARCH, | |
| LLM_CHAT_TEMPLATE_GEMMA, | |
| LLM_CHAT_TEMPLATE_ORION, | |
| LLM_CHAT_TEMPLATE_OPENCHAT, | |
| LLM_CHAT_TEMPLATE_VICUNA, | |
| LLM_CHAT_TEMPLATE_VICUNA_ORCA, | |
| LLM_CHAT_TEMPLATE_DEEPSEEK, | |
| LLM_CHAT_TEMPLATE_DEEPSEEK_2, | |
| LLM_CHAT_TEMPLATE_DEEPSEEK_3, | |
| LLM_CHAT_TEMPLATE_DEEPSEEK_OCR, | |
| LLM_CHAT_TEMPLATE_COMMAND_R, | |
| LLM_CHAT_TEMPLATE_LLAMA_3, | |
| LLM_CHAT_TEMPLATE_CHATGLM_3, | |
| LLM_CHAT_TEMPLATE_CHATGLM_4, | |
| LLM_CHAT_TEMPLATE_GLMEDGE, | |
| LLM_CHAT_TEMPLATE_MINICPM, | |
| LLM_CHAT_TEMPLATE_EXAONE_3, | |
| LLM_CHAT_TEMPLATE_EXAONE_4, | |
| LLM_CHAT_TEMPLATE_EXAONE_MOE, | |
| LLM_CHAT_TEMPLATE_RWKV_WORLD, | |
| LLM_CHAT_TEMPLATE_GRANITE_3_X, | |
| LLM_CHAT_TEMPLATE_GRANITE_4_0, | |
| LLM_CHAT_TEMPLATE_GRANITE_4_1, | |
| LLM_CHAT_TEMPLATE_GIGACHAT, | |
| LLM_CHAT_TEMPLATE_MEGREZ, | |
| LLM_CHAT_TEMPLATE_YANDEX, | |
| LLM_CHAT_TEMPLATE_BAILING, | |
| LLM_CHAT_TEMPLATE_BAILING_THINK, | |
| LLM_CHAT_TEMPLATE_BAILING2, | |
| LLM_CHAT_TEMPLATE_LLAMA4, | |
| LLM_CHAT_TEMPLATE_SMOLVLM, | |
| LLM_CHAT_TEMPLATE_DOTS1, | |
| LLM_CHAT_TEMPLATE_HUNYUAN_MOE, | |
| LLM_CHAT_TEMPLATE_OPENAI_MOE, | |
| LLM_CHAT_TEMPLATE_HUNYUAN_DENSE, | |
| LLM_CHAT_TEMPLATE_HUNYUAN_VL, | |
| LLM_CHAT_TEMPLATE_KIMI_K2, | |
| LLM_CHAT_TEMPLATE_SEED_OSS, | |
| LLM_CHAT_TEMPLATE_GROK_2, | |
| LLM_CHAT_TEMPLATE_PANGU_EMBED, | |
| LLM_CHAT_TEMPLATE_SOLAR_OPEN, | |
| LLM_CHAT_TEMPLATE_UNKNOWN, | |
| }; | |
| struct llama_chat_message; | |
| llm_chat_template llm_chat_template_from_str(const std::string & name); | |
| llm_chat_template llm_chat_detect_template(const std::string & tmpl); | |
| int32_t llm_chat_apply_template( | |
| llm_chat_template tmpl, | |
| const std::vector<const llama_chat_message *> & chat, | |
| std::string & dest, bool add_ass); | |