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
| # | |
| # Basedir on device | |
| basedir=/data/local/tmp/llama.cpp | |
| cli_opts= | |
| branch=. | |
| [ "$B" != "" ] && branch=$B | |
| adbserial= | |
| [ "$S" != "" ] && adbserial="-s $S" | |
| adbhost= | |
| [ "$H" != "" ] && adbhost="-H $H" | |
| model="Llama-3.2-3B-Instruct-Q4_0.gguf" | |
| [ "$M" != "" ] && model="$M" | |
| device="HTP0" | |
| [ "$D" != "" ] && device="$D" | |
| verbose= | |
| [ "$V" != "" ] && verbose="GGML_HEXAGON_VERBOSE=$V" cli_opts="$cli_opts -v" | |
| sched= | |
| [ "$SCHED" != "" ] && sched="GGML_SCHED_DEBUG=2" cli_opts="$cli_opts -v" | |
| profile= | |
| [ "$PROF" != "" ] && profile="GGML_HEXAGON_PROFILE=$PROF" cli_opts="$cli_opts -v" | |
| opmask= | |
| [ "$OPSTAGE" != "" ] && opmask="GGML_HEXAGON_OPSTAGE=$OPSTAGE" | |
| nhvx= | |
| [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX" | |
| hmx= | |
| [ "$HMX" != "" ] && hmx="GGML_HEXAGON_USE_HMX=$HMX" | |
| ndev= | |
| [ "$NDEV" != "" ] && ndev="GGML_HEXAGON_NDEV=$NDEV" | |
| hb= | |
| [ "$HB" != "" ] && hb="GGML_HEXAGON_HOSTBUF=$HB" | |
| opbatch= | |
| [ "$OB" != "" ] && opbatch="GGML_HEXAGON_OPBATCH=$OB" | |
| opqueue= | |
| [ "$OQ" != "" ] && opqueue="GGML_HEXAGON_OPQUEUE=$OQ" | |
| oppoll= | |
| [ "$OP" != "" ] && oppoll="GGML_HEXAGON_OPPOLL=$OP" | |
| opflt= | |
| [ "$OF" != "" ] && opflt="GGML_HEXAGON_OPFILTER=$OF" | |
| opfuse= | |
| [ "$OC" != "" ] && opfuse="GGML_HEXAGON_OPFUSION=$OC" | |
| vmem= | |
| [ "$VM" != "" ] && vmem="GGML_HEXAGON_VMEM=$VM" | |
| mbuf= | |
| [ "$MB" != "" ] && mbuf="GGML_HEXAGON_MBUF=$MB" | |
| mmsel= | |
| [ "$MM" != "" ] && mmsel="GGML_HEXAGON_MM_SELECT=$MM" | |
| fasel= | |
| [ "$FA" != "" ] && fasel="GGML_HEXAGON_FA_SELECT=$FA" | |
| set -x | |
| adb $adbserial $adbhost shell " \ | |
| cd $basedir; ulimit -c unlimited; \ | |
| LD_LIBRARY_PATH=$basedir/$branch/lib \ | |
| ADSP_LIBRARY_PATH=$basedir/$branch/lib \ | |
| $verbose $sched $opmask $profile $nhvx $hmx $ndev $hb $opbatch $opqueue $oppoll $opflt $opfuse $vmem $mbuf $mmsel $fasel \ | |
| ./$branch/bin/llama-completion --no-mmap -m $basedir/../gguf/$model \ | |
| --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1 \ | |
| --ctx-size 8192 --ubatch-size 1024 -fa on \ | |
| -ngl 99 --device $device $cli_opts $@ \ | |
| " | |