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
| function(ggml_get_flags CCID CCVER) | |
| set(C_FLAGS "") | |
| set(CXX_FLAGS "") | |
| if (CCID MATCHES "Clang") | |
| set(C_FLAGS -Wunreachable-code-break -Wunreachable-code-return) | |
| set(CXX_FLAGS -Wunreachable-code-break -Wunreachable-code-return -Wmissing-prototypes -Wextra-semi) | |
| if ( | |
| (CCID STREQUAL "Clang" AND CCVER VERSION_GREATER_EQUAL 3.8.0) OR | |
| (CCID STREQUAL "AppleClang" AND CCVER VERSION_GREATER_EQUAL 7.3.0) | |
| ) | |
| list(APPEND C_FLAGS -Wdouble-promotion) | |
| endif() | |
| elseif (CCID STREQUAL "GNU") | |
| set(C_FLAGS -Wdouble-promotion) | |
| set(CXX_FLAGS -Wno-array-bounds) | |
| if (CCVER VERSION_GREATER_EQUAL 8.1.0) | |
| list(APPEND CXX_FLAGS -Wextra-semi) | |
| endif() | |
| endif() | |
| set(GF_C_FLAGS ${C_FLAGS} PARENT_SCOPE) | |
| set(GF_CXX_FLAGS ${CXX_FLAGS} PARENT_SCOPE) | |
| endfunction() | |
| function(ggml_get_system_arch) | |
| if (CMAKE_OSX_ARCHITECTURES STREQUAL "arm64" OR | |
| CMAKE_GENERATOR_PLATFORM_LWR STREQUAL "arm64" OR | |
| (NOT CMAKE_OSX_ARCHITECTURES AND NOT CMAKE_GENERATOR_PLATFORM_LWR AND | |
| CMAKE_SYSTEM_PROCESSOR MATCHES "^(aarch64|arm.*|ARM64)$")) | |
| set(GGML_SYSTEM_ARCH "ARM" PARENT_SCOPE) | |
| elseif (CMAKE_OSX_ARCHITECTURES STREQUAL "x86_64" OR | |
| CMAKE_GENERATOR_PLATFORM_LWR MATCHES "^(x86_64|i686|amd64|x64|win32)$" OR | |
| (NOT CMAKE_OSX_ARCHITECTURES AND NOT CMAKE_GENERATOR_PLATFORM_LWR AND | |
| CMAKE_SYSTEM_PROCESSOR MATCHES "^(x86_64|i686|AMD64|amd64)$")) | |
| set(GGML_SYSTEM_ARCH "x86" PARENT_SCOPE) | |
| elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "ppc|power") | |
| set(GGML_SYSTEM_ARCH "PowerPC" PARENT_SCOPE) | |
| elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "loongarch64") | |
| set(GGML_SYSTEM_ARCH "loongarch64" PARENT_SCOPE) | |
| elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "riscv64") | |
| set(GGML_SYSTEM_ARCH "riscv64" PARENT_SCOPE) | |
| elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "s390x") | |
| set(GGML_SYSTEM_ARCH "s390x" PARENT_SCOPE) | |
| else() | |
| set(GGML_SYSTEM_ARCH "UNKNOWN" PARENT_SCOPE) | |
| endif() | |
| endfunction() | |