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
| // buffer type HBM | |
| static const char * ggml_backend_cpu_hbm_buffer_type_get_name(ggml_backend_buffer_type_t buft) { | |
| return "CPU_HBM"; | |
| GGML_UNUSED(buft); | |
| } | |
| static void ggml_backend_cpu_hbm_buffer_free_buffer(ggml_backend_buffer_t buffer) { | |
| hbw_free(buffer->context); | |
| } | |
| static ggml_backend_buffer_t ggml_backend_cpu_hbm_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, | |
| size_t size) { | |
| void * ptr; | |
| int result = hbw_posix_memalign(&ptr, ggml_backend_cpu_buffer_type_get_alignment(buft), size); | |
| if (result != 0) { | |
| GGML_LOG_ERROR("failed to allocate HBM buffer of size %zu\n", size); | |
| return NULL; | |
| } | |
| ggml_backend_buffer_t buffer = ggml_backend_cpu_buffer_from_ptr(ptr, size); | |
| buffer->buft = buft; | |
| buffer->iface.free_buffer = ggml_backend_cpu_hbm_buffer_free_buffer; | |
| return buffer; | |
| } | |
| ggml_backend_buffer_type_t ggml_backend_cpu_hbm_buffer_type(void) { | |
| static struct ggml_backend_buffer_type ggml_backend_cpu_buffer_type_hbm = { | |
| /* .iface = */ { | |
| /* .get_name = */ ggml_backend_cpu_hbm_buffer_type_get_name, | |
| /* .alloc_buffer = */ ggml_backend_cpu_hbm_buffer_type_alloc_buffer, | |
| /* .get_alignment = */ ggml_backend_cpu_buffer_type_get_alignment, | |
| /* .get_max_size = */ nullptr, // defaults to SIZE_MAX | |
| /* .get_alloc_size = */ nullptr, // defaults to ggml_nbytes | |
| /* .is_host = */ ggml_backend_cpu_buffer_type_is_host, | |
| }, | |
| /* .context = */ nullptr, | |
| }; | |
| return &ggml_backend_cpu_buffer_type_hbm; | |
| } | |