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
| message(STATUS "Using RPC backend") | |
| ggml_add_backend_library(ggml-rpc | |
| ggml-rpc.cpp | |
| transport.cpp | |
| ) | |
| if (WIN32) | |
| target_link_libraries(ggml-rpc PRIVATE ws2_32) | |
| endif() | |
| # RDMA auto-detection (Linux only, requires libibverbs) | |
| if (NOT WIN32 AND NOT APPLE) | |
| find_library(IBVERBS_LIB ibverbs) | |
| if (IBVERBS_LIB) | |
| option(GGML_RPC_RDMA "ggml: enable RDMA transport for RPC" ON) | |
| else() | |
| option(GGML_RPC_RDMA "ggml: enable RDMA transport for RPC" OFF) | |
| endif() | |
| else() | |
| set(GGML_RPC_RDMA OFF CACHE BOOL "RDMA not available on this platform" FORCE) | |
| endif() | |
| if (GGML_RPC_RDMA) | |
| if (NOT IBVERBS_LIB) | |
| find_library(IBVERBS_LIB ibverbs REQUIRED) | |
| endif() | |
| target_compile_definitions(ggml-rpc PRIVATE GGML_RPC_RDMA) | |
| target_link_libraries(ggml-rpc PRIVATE ${IBVERBS_LIB}) | |
| message(STATUS " RDMA transport enabled (auto-detected)") | |
| else() | |
| message(STATUS " RDMA transport disabled") | |
| endif() | |