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 not add_generation_prompt is defined -%} | |
| {%- set add_generation_prompt = false -%} | |
| {%- endif -%} | |
| {%- set ns = namespace(is_first=false, is_tool_outputs=false, is_output_first=true, system_prompt='') -%} | |
| {%- for message in messages -%} | |
| {%- if message['role'] == 'system' -%} | |
| {%- set ns.system_prompt = message['content'] -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {{bos_token}} | |
| {%- if tools %} | |
| You can call any of the following function tools to satisfy the user's requests: {{tools | map(attribute='function') | tojson(indent=2)}} | |
| Example function tool call syntax: | |
| <|tool▁calls▁begin|><|tool▁call▁begin|>function<|tool▁sep|>example_function_name | |
| ```json | |
| { | |
| "arg1": "some_value" | |
| ... | |
| } | |
| ``` | |
| <|tool▁call▁end|><|tool▁calls▁end|> | |
| {% endif -%} | |
| {{ns.system_prompt}} | |
| {%- macro flush_tool_outputs() -%} | |
| {%- if ns.is_tool_outputs -%} | |
| {{- '<|tool▁outputs▁end|><|end▁of▁sentence|>' -}} | |
| {%- set ns.is_tool_outputs = false -%} | |
| {%- endif -%} | |
| {%- endmacro -%} | |
| {{- flush_tool_outputs() -}} | |
| {%- for message in messages -%} | |
| {%- if message['role'] != 'tool' -%} | |
| {{- flush_tool_outputs() -}} | |
| {%- endif -%} | |
| {%- if message['role'] == 'user' -%} | |
| {{- '<|User|>' + message['content'] + '<|end▁of▁sentence|>' -}} | |
| {%- endif -%} | |
| {%- if message['role'] == 'assistant' and not message['content'] -%} | |
| {{- '<|Assistant|><|tool▁calls▁begin|>' -}} | |
| {%- set ns.is_first = true -%} | |
| {%- for tc in message['tool_calls'] -%} | |
| {%- if ns.is_first -%} | |
| {%- set ns.is_first = false -%} | |
| {%- else -%} | |
| {{- '\n' -}} | |
| {%- endif -%} | |
| {%- set tool_name = tc['function']['name'] -%} | |
| {%- set tool_args = tc['function']['arguments'] -%} | |
| {{- '<|tool▁call▁begin|>' + tc['type'] + '<|tool▁sep|>' + tool_name + '\n' + '```json' + '\n' + tool_args | tojson + '\n' + '```' + '<|tool▁call▁end|>' -}} | |
| {%- endfor -%} | |
| {{- '<|tool▁calls▁end|><|end▁of▁sentence|>' -}} | |
| {%- endif -%} | |
| {%- if message['role'] == 'assistant' and message['content'] -%} | |
| {{- flush_tool_outputs() -}} | |
| {%- set content = message['content'] -%} | |
| {%- if '</think>' in content -%} | |
| {%- set content = content.split('</think>')[-1] -%} | |
| {%- endif -%} | |
| {{- '<|Assistant|>' + content + '<|end▁of▁sentence|>' -}} | |
| {%- endif -%} | |
| {%- if message['role'] == 'tool' -%} | |
| {%- set ns.is_tool_outputs = true -%} | |
| {%- if ns.is_output_first -%} | |
| {{- '<|tool▁outputs▁begin|>' -}} | |
| {%- set ns.is_output_first = false -%} | |
| {%- endif -%} | |
| {{- '\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>' -}} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {{- flush_tool_outputs() -}} | |
| {%- if add_generation_prompt and not ns.is_tool_outputs -%} | |
| {{- '<|Assistant|><think>\n' -}} | |
| {%- endif -%} | |