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 log_colors { | |
| LOG_COLORS_AUTO = -1, | |
| LOG_COLORS_DISABLED = 0, | |
| LOG_COLORS_ENABLED = 1, | |
| }; | |
| // needed by the LOG_TMPL macro to avoid computing log arguments if the verbosity lower | |
| // set via common_log_set_verbosity() | |
| int common_log_get_verbosity_thold(void); | |
| void common_log_set_verbosity_thold(int verbosity); // not thread-safe | |
| void common_log_default_callback(enum ggml_log_level level, const char * text, void * user_data); | |
| // the common_log uses an internal worker thread to print/write log messages | |
| // when the worker thread is paused, incoming log messages are discarded | |
| struct common_log; | |
| struct common_log * common_log_init(); | |
| // Singleton, intentionally leaked to avoid Windows teardown hangs. | |
| // Call common_log_flush() before exit if you want to ensure all logs are flushed. | |
| struct common_log * common_log_main(); | |
| void common_log_pause (struct common_log * log); // pause the worker thread, not thread-safe | |
| void common_log_resume(struct common_log * log); // resume the worker thread, not thread-safe | |
| void common_log_free (struct common_log * log); | |
| LOG_ATTRIBUTE_FORMAT(3, 4) | |
| void common_log_add(struct common_log * log, enum ggml_log_level level, const char * fmt, ...); | |
| // defaults: file = NULL, colors = false, prefix = false, timestamps = false | |
| // | |
| // regular log output: | |
| // | |
| // ggml_backend_metal_log_allocated_size: allocated buffer, size = 6695.84 MiB, ( 6695.91 / 21845.34) | |
| // llm_load_tensors: ggml ctx size = 0.27 MiB | |
| // llm_load_tensors: offloading 32 repeating layers to GPU | |
| // llm_load_tensors: offloading non-repeating layers to GPU | |
| // | |
| // with prefix = true, timestamps = true, the log output will look like this: | |
| // | |
| // 0.00.035.060 D ggml_backend_metal_log_allocated_size: allocated buffer, size = 6695.84 MiB, ( 6695.91 / 21845.34) | |
| // 0.00.035.064 I llm_load_tensors: ggml ctx size = 0.27 MiB | |
| // 0.00.090.578 I llm_load_tensors: offloading 32 repeating layers to GPU | |
| // 0.00.090.579 I llm_load_tensors: offloading non-repeating layers to GPU | |
| // | |
| // D - debug (stderr, V = LOG_DEFAULT_DEBUG) | |
| // I - info (stdout, V = LOG_DEFAULT_INFO) | |
| // W - warning (stderr, V = LOG_DEFAULT_WARN) | |
| // E - error (stderr, V = LOG_DEFAULT_ERROR) | |
| // O - output (stdout, V = LOG_DEFAULT_OUTPUT) | |
| // | |
| void common_log_set_file (struct common_log * log, const char * file); // not thread-safe | |
| void common_log_set_colors (struct common_log * log, log_colors colors); // not thread-safe | |
| void common_log_set_prefix (struct common_log * log, bool prefix); // whether to output prefix to each log | |
| void common_log_set_timestamps(struct common_log * log, bool timestamps); // whether to output timestamps in the prefix | |
| void common_log_flush (struct common_log * log); // flush all pending log messages | |
| // helper macros for logging | |
| // use these to avoid computing log arguments if the verbosity of the log is higher than the threshold | |
| // | |
| // for example: | |
| // | |
| // LOG_DBG("this is a debug message: %d\n", expensive_function()); | |
| // | |
| // this will avoid calling expensive_function() if LOG_DEFAULT_DEBUG > common_log_verbosity_thold | |
| // | |