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
| llama_add_compile_flags() | |
| # | |
| # libraries | |
| # | |
| # llama | |
| file(GLOB LLAMA_MODELS_SOURCES "models/*.cpp") | |
| add_library(llama | |
| ../include/llama.h | |
| llama.cpp | |
| llama-adapter.cpp | |
| llama-arch.cpp | |
| llama-batch.cpp | |
| llama-chat.cpp | |
| llama-context.cpp | |
| llama-cparams.cpp | |
| llama-grammar.cpp | |
| llama-graph.cpp | |
| llama-hparams.cpp | |
| llama-impl.cpp | |
| llama-io.cpp | |
| llama-kv-cache.cpp | |
| llama-kv-cache-iswa.cpp | |
| llama-kv-cache-dsa.cpp | |
| llama-kv-cache-dsv4.cpp | |
| llama-memory.cpp | |
| llama-memory-hybrid.cpp | |
| llama-memory-hybrid-iswa.cpp | |
| llama-memory-recurrent.cpp | |
| llama-mmap.cpp | |
| llama-model-loader.cpp | |
| llama-model-saver.cpp | |
| llama-model.cpp | |
| llama-quant.cpp | |
| llama-sampler.cpp | |
| llama-vocab.cpp | |
| unicode-data.cpp | |
| unicode.cpp | |
| unicode.h | |
| ${LLAMA_MODELS_SOURCES} | |
| ) | |
| set_target_properties(llama PROPERTIES | |
| VERSION ${LLAMA_INSTALL_VERSION} | |
| SOVERSION 0 | |
| MACHO_CURRENT_VERSION 0 # keep macOS linker from seeing oversized version number | |
| ) | |
| target_include_directories(llama PRIVATE .) | |
| target_include_directories(llama PUBLIC ../include) | |
| target_compile_features (llama PRIVATE cxx_std_17) # don't bump | |
| target_link_libraries(llama PUBLIC ggml) | |
| if (BUILD_SHARED_LIBS) | |
| set_target_properties(llama PROPERTIES POSITION_INDEPENDENT_CODE ON) | |
| target_compile_definitions(llama PRIVATE LLAMA_BUILD) | |
| target_compile_definitions(llama PUBLIC LLAMA_SHARED) | |
| endif() | |