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
| :: MIT license | |
| :: Copyright (C) 2024 Intel Corporation | |
| :: SPDX-License-Identifier: MIT | |
| IF /I "%1"=="--help" ( | |
| echo Usage: win-build-sycl.bat [fp32^|fp16] [--help] | |
| echo. | |
| echo Options: | |
| echo fp32 Build with FP32 precision ^(default^) | |
| echo fp16 Build with FP16 precision ^(faster for long-prompt inference^) | |
| echo --help Print this help message | |
| exit /B 0 | |
| ) | |
| SET PRECISION=%1 | |
| IF "%PRECISION%"=="" SET PRECISION=fp32 | |
| IF /I NOT "%PRECISION%"=="fp32" IF /I NOT "%PRECISION%"=="fp16" ( | |
| echo Error: invalid value '%PRECISION%'. Use 'fp32' or 'fp16'. | |
| echo Usage: win-build-sycl.bat [fp32^|fp16] [--help] | |
| exit /B 1 | |
| ) | |
| IF not exist build (mkdir build) | |
| cd build | |
| if %errorlevel% neq 0 goto ERROR | |
| @call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64 --force | |
| if %errorlevel% neq 0 goto ERROR | |
| IF /I "%PRECISION%"=="fp16" ( | |
| :: for FP16 | |
| :: faster for long-prompt inference | |
| cmake -G "MinGW Makefiles" .. -DLLAMA_OPENSSL=OFF -DGGML_SYCL=ON -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DGGML_SYCL_F16=ON | |
| ) ELSE ( | |
| :: for FP32 | |
| cmake -G "Ninja" .. -DLLAMA_OPENSSL=OFF -DGGML_SYCL=ON -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release | |
| ) | |
| if %errorlevel% neq 0 goto ERROR | |
| :: build all binary | |
| cmake --build . -j | |
| if %errorlevel% neq 0 goto ERROR | |
| cd .. | |
| exit /B 0 | |
| :ERROR | |
| echo comomand error: %errorlevel% | |
| exit /B %errorlevel% | |