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
| /* the rest of this file must match virglrenderer/src/apir-protocol.h */ | |
| enum ApirCommandType { | |
| APIR_COMMAND_TYPE_HANDSHAKE = 0, | |
| APIR_COMMAND_TYPE_LOADLIBRARY = 1, | |
| APIR_COMMAND_TYPE_FORWARD = 2, | |
| APIR_COMMAND_TYPE_LENGTH = 3, | |
| }; | |
| typedef uint64_t ApirCommandFlags; | |
| enum ApirLoadLibraryReturnCode { | |
| APIR_LOAD_LIBRARY_SUCCESS = 0, | |
| // these error codes are returned by the Virglrenderer APIR component | |
| APIR_LOAD_LIBRARY_HYPERCALL_INITIALIZATION_ERROR = 1, | |
| APIR_LOAD_LIBRARY_ALREADY_LOADED = 2, | |
| APIR_LOAD_LIBRARY_ENV_VAR_MISSING = 3, | |
| APIR_LOAD_LIBRARY_CANNOT_OPEN = 4, | |
| APIR_LOAD_LIBRARY_SYMBOL_MISSING = 5, | |
| // any value greater than this is an APIR *backend library* initialization return code | |
| APIR_LOAD_LIBRARY_INIT_BASE_INDEX = 6, | |
| }; | |
| enum ApirForwardReturnCode { | |
| APIR_FORWARD_SUCCESS = 0, | |
| // these error codes are returned by the Virglrenderer APIR component | |
| APIR_FORWARD_NO_DISPATCH_FCT = 1, | |
| APIR_FORWARD_TIMEOUT = 2, | |
| APIR_FORWARD_FAILED_TO_SYNC_STREAMS = 3, | |
| // any value greater than this index an APIR *backend library* forward return code | |
| APIR_FORWARD_BASE_INDEX = 4, | |
| }; | |
| __attribute__((unused)) static inline const char * apir_command_name(ApirCommandType type) { | |
| switch (type) { | |
| case APIR_COMMAND_TYPE_HANDSHAKE: | |
| return "HandShake"; | |
| case APIR_COMMAND_TYPE_LOADLIBRARY: | |
| return "LoadLibrary"; | |
| case APIR_COMMAND_TYPE_FORWARD: | |
| return "Forward"; | |
| default: | |
| return "unknown"; | |
| } | |
| } | |
| __attribute__((unused)) static const char * apir_load_library_error(ApirLoadLibraryReturnCode code) { | |
| APIR_LOAD_LIBRARY_ERROR(APIR_LOAD_LIBRARY_SUCCESS); | |
| APIR_LOAD_LIBRARY_ERROR(APIR_LOAD_LIBRARY_HYPERCALL_INITIALIZATION_ERROR); | |
| APIR_LOAD_LIBRARY_ERROR(APIR_LOAD_LIBRARY_ALREADY_LOADED); | |
| APIR_LOAD_LIBRARY_ERROR(APIR_LOAD_LIBRARY_ENV_VAR_MISSING); | |
| APIR_LOAD_LIBRARY_ERROR(APIR_LOAD_LIBRARY_CANNOT_OPEN); | |
| APIR_LOAD_LIBRARY_ERROR(APIR_LOAD_LIBRARY_SYMBOL_MISSING); | |
| APIR_LOAD_LIBRARY_ERROR(APIR_LOAD_LIBRARY_INIT_BASE_INDEX); | |
| return "Unknown APIR_COMMAND_TYPE_LoadLibrary error"; | |
| } | |
| __attribute__((unused)) static const char * apir_forward_error(ApirForwardReturnCode code) { | |
| APIR_FORWARD_ERROR(APIR_FORWARD_SUCCESS); | |
| APIR_FORWARD_ERROR(APIR_FORWARD_NO_DISPATCH_FCT); | |
| APIR_FORWARD_ERROR(APIR_FORWARD_TIMEOUT); | |
| APIR_FORWARD_ERROR(APIR_FORWARD_FAILED_TO_SYNC_STREAMS); | |
| APIR_FORWARD_ERROR(APIR_FORWARD_BASE_INDEX); | |
| return "Unknown APIR_COMMAND_TYPE_FORWARD error"; | |
| } | |