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
| if [ $# -lt 2 ]; then | |
| echo "usage: ./scripts/compare-commits.sh <commit1> <commit2> [tool] [additional arguments]" | |
| echo " tool: 'llama-bench' (default) or 'test-backend-ops'" | |
| echo " additional arguments: passed to the selected tool" | |
| exit 1 | |
| fi | |
| set -e | |
| set -x | |
| # Parse arguments | |
| commit1=$1 | |
| commit2=$2 | |
| tool=${3:-llama-bench} | |
| additional_args="${@:4}" | |
| # Validate tool argument | |
| if [ "$tool" != "llama-bench" ] && [ "$tool" != "test-backend-ops" ]; then | |
| echo "Error: tool must be 'llama-bench' or 'test-backend-ops'" | |
| exit 1 | |
| fi | |
| # verify at the start that the compare script has all the necessary dependencies installed | |
| ./scripts/compare-llama-bench.py --check | |
| if ! command -v sqlite3 >/dev/null 2>&1; then | |
| echo "Error: sqlite3 is not installed or not in PATH" | |
| echo "Please install sqlite3 to use this script" | |
| exit 1 | |
| fi | |
| if [ "$tool" = "llama-bench" ]; then | |
| db_file="llama-bench.sqlite" | |
| target="llama-bench" | |
| run_args="-o sql -oe md $additional_args" | |
| else # test-backend-ops | |
| db_file="test-backend-ops.sqlite" | |
| target="test-backend-ops" | |
| run_args="perf --output sql $additional_args" | |
| fi | |
| rm -f "$db_file" > /dev/null | |
| # to test a backend, call the script with the corresponding environment variable (e.g. GGML_CUDA=1 ./scripts/compare-commits.sh ...) | |
| if [ -n "$GGML_CUDA" ]; then | |
| CMAKE_OPTS="${CMAKE_OPTS} -DGGML_CUDA=ON" | |
| fi | |
| dir="build-bench" | |
| function run { | |
| rm -fr ${dir} > /dev/null | |
| cmake -B ${dir} -S . ${CMAKE_OPTS} > /dev/null | |
| cmake --build ${dir} -t $target -j $(nproc) > /dev/null | |
| ${dir}/bin/$target $run_args | sqlite3 "$db_file" | |
| } | |
| git checkout $commit1 > /dev/null | |
| run | |
| git checkout $commit2 > /dev/null | |
| run | |
| ./scripts/compare-llama-bench.py -b $commit1 -c $commit2 --tool $tool -i "$db_file" | |