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.
- 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
File size: 1,798 Bytes
0862f9d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 | #!/usr/bin/env bash
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"
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