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 | |
| @echo off | |
| setlocal EnableExtensions EnableDelayedExpansion | |
| set "BIN_FILE=.\build\bin\llama-server.exe" | |
| set "SEED=0" | |
| set "GPUS_SETTING=" | |
| set "MODEL_FILE=..\models\Qwen3.5-4B-Q4_0.gguf" | |
| set "NGL=99" | |
| set "CONTEXT=4096" | |
| set "GGML_SYCL_DEVICE=-1" | |
| set "SPLIT_MODE=layer" | |
| set "LOG_VERBOSE=3" | |
| if "%~1"=="" goto after_args | |
| :parse_args | |
| if "%~1"=="" goto after_args | |
| if /I "%~1"=="-c" ( | |
| if "%~2"=="" goto missing_value | |
| set "CONTEXT=%~2" | |
| shift | |
| shift | |
| goto parse_args | |
| ) | |
| if /I "%~1"=="--context" ( | |
| if "%~2"=="" goto missing_value | |
| set "CONTEXT=%~2" | |
| shift | |
| shift | |
| goto parse_args | |
| ) | |
| if /I "%~1"=="-m" ( | |
| if "%~2"=="" goto missing_value | |
| set "MODEL_FILE=%~2" | |
| shift | |
| shift | |
| goto parse_args | |
| ) | |
| if /I "%~1"=="--model" ( | |
| if "%~2"=="" goto missing_value | |
| set "MODEL_FILE=%~2" | |
| shift | |
| shift | |
| goto parse_args | |
| ) | |
| if /I "%~1"=="-mg" ( | |
| if "%~2"=="" goto missing_value | |
| set "GGML_SYCL_DEVICE=%~2" | |
| set "SPLIT_MODE=none" | |
| shift | |
| shift | |
| goto parse_args | |
| ) | |
| if /I "%~1"=="--main-gpu" ( | |
| if "%~2"=="" goto missing_value | |
| set "GGML_SYCL_DEVICE=%~2" | |
| set "SPLIT_MODE=none" | |
| shift | |
| shift | |
| goto parse_args | |
| ) | |
| if /I "%~1"=="-sm" ( | |
| if "%~2"=="" goto missing_value | |
| set "SPLIT_MODE=%~2" | |
| shift | |
| shift | |
| goto parse_args | |
| ) | |
| if /I "%~1"=="--split-mode" ( | |
| if "%~2"=="" goto missing_value | |
| set "SPLIT_MODE=%~2" | |
| shift | |
| shift | |
| goto parse_args | |
| ) | |
| if /I "%~1"=="-ngl" ( | |
| if "%~2"=="" goto missing_value | |
| set "NGL=%~2" | |
| shift | |
| shift | |
| goto parse_args | |
| ) | |
| if /I "%~1"=="--n-gpu-layers" ( | |
| if "%~2"=="" goto missing_value | |
| set "NGL=%~2" | |
| shift | |
| shift | |
| goto parse_args | |
| ) | |
| if /I "%~1"=="-lv" ( | |
| if "%~2"=="" goto missing_value | |
| set "LOG_VERBOSE=%~2" | |
| shift | |
| shift | |
| goto parse_args | |
| ) | |
| if /I "%~1"=="--log-verbosity" ( | |
| if "%~2"=="" goto missing_value | |
| set "LOG_VERBOSE=%~2" | |
| shift | |
| shift | |
| goto parse_args | |
| ) | |
| if /I "%~1"=="-h" goto help | |
| if /I "%~1"=="--help" goto help | |
| echo Invalid option: %~1 | |
| exit /b 1 | |
| :missing_value | |
| echo Missing value for option: %~1 | |
| exit /b 1 | |
| :help | |
| echo Usage: %~n0 [OPTIONS] | |
| echo. | |
| echo This script processes files with specified options. | |
| echo. | |
| echo Options: | |
| echo -h, --help Display this help message and exit. | |
| echo -c, --context ^<value^> Set context length. Bigger need more memory. | |
| echo -m, --model ^<value^> Full model file path. | |
| echo -mg,--main-gpu ^<value^> Set main GPU ID (0 - n) for single GPU mode. | |
| echo -sm,--split-mode ^<value^> How to split the model across multiple GPUs, one of: | |
| echo - none: use one GPU only | |
| echo - layer (default): split layers and KV across GPUs | |
| echo - row: split rows across GPUs | |
| echo -ngl,--n-gpu-layers ^<value^> Max. number of layers to store in VRAM (default: -1) | |
| echo -lv,--log-verbosity ^<value^> Set the verbosity threshold. Messages with a higher verbosity will be | |
| echo ignored. Values: | |
| echo - 0: generic output | |
| echo - 1: error | |
| echo - 2: warning | |
| echo - 3: info | |
| echo - 4: debug | |
| exit /b 0 | |
| :after_args | |
| REM In Windows CMD, source is not available; call oneAPI setvars if present. | |
| if exist "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" ( | |
| call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" >nul | |
| ) else ( | |
| echo Warning: oneAPI setvars.bat not found. Continuing without environment setup. | |
| ) | |
| REM Support malloc device memory more than 4GB. | |
| set "UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1" | |
| echo UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=%UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS% | |
| if not "%GGML_SYCL_DEVICE%"=="-1" ( | |
| echo Use %GGML_SYCL_DEVICE% as main GPU | |
| REM Use single GPU only. | |
| set "GPUS_SETTING=-mg %GGML_SYCL_DEVICE% -sm %SPLIT_MODE%" | |
| echo ONEAPI_DEVICE_SELECTOR=%ONEAPI_DEVICE_SELECTOR% | |
| ) else ( | |
| echo Use all Intel GPUs, including iGPU ^& dGPU | |
| set "GPUS_SETTING=-sm %SPLIT_MODE%" | |
| ) | |
| echo run cmd: ZES_ENABLE_SYSMAN=1 %BIN_FILE% -m "%MODEL_FILE%" -ngl %NGL% -s %SEED% -c %CONTEXT% %GPUS_SETTING% -lv %LOG_VERBOSE% --mmap --host 0.0.0.0 --port 8000 | |
| set "ZES_ENABLE_SYSMAN=1" | |
| %BIN_FILE% -m "%MODEL_FILE%" -ngl %NGL% -s %SEED% -c %CONTEXT% %GPUS_SETTING% -lv %LOG_VERBOSE% --mmap --host 0.0.0.0 --port 8000 | |
| endlocal | |