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
| struct llama_file; | |
| struct llama_mmap; | |
| struct llama_mlock; | |
| using llama_files = std::vector<std::unique_ptr<llama_file>>; | |
| using llama_mmaps = std::vector<std::unique_ptr<llama_mmap>>; | |
| using llama_mlocks = std::vector<std::unique_ptr<llama_mlock>>; | |
| struct llama_file { | |
| llama_file(const char * fname, const char * mode, bool use_direct_io = false); | |
| llama_file(FILE * file); | |
| ~llama_file(); | |
| size_t tell() const; | |
| size_t size() const; | |
| int file_id() const; // fileno overload | |
| void seek(size_t offset, int whence) const; | |
| void read_raw(void * ptr, size_t len); | |
| void read_raw_unsafe(void * ptr, size_t len); | |
| void read_aligned_chunk(void * dest, size_t size); | |
| uint32_t read_u32(); | |
| void write_raw(const void * ptr, size_t len) const; | |
| void write_u32(uint32_t val) const; | |
| size_t read_alignment() const; | |
| bool has_direct_io() const; | |
| private: | |
| struct impl; | |
| std::unique_ptr<impl> pimpl; | |
| }; | |
| struct llama_mmap { | |
| llama_mmap(const llama_mmap &) = delete; | |
| llama_mmap(struct llama_file * file, size_t prefetch = (size_t) -1, bool numa = false); | |
| ~llama_mmap(); | |
| size_t size() const; | |
| void * addr() const; | |
| void unmap_fragment(size_t first, size_t last); | |
| static const bool SUPPORTED; | |
| private: | |
| struct impl; | |
| std::unique_ptr<impl> pimpl; | |
| }; | |
| struct llama_mlock { | |
| llama_mlock(); | |
| ~llama_mlock(); | |
| void init(void * ptr); | |
| void grow_to(size_t target_size); | |
| static const bool SUPPORTED; | |
| private: | |
| struct impl; | |
| std::unique_ptr<impl> pimpl; | |
| }; | |
| size_t llama_path_max(); | |