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
| {# ----------‑‑‑ special token variables ‑‑‑---------- #} | |
| {%- set toolcall_begin_token = '<minimax:tool_call>' -%} | |
| {%- set toolcall_end_token = '</minimax:tool_call>' -%} | |
| {#- Tool Rendering Functions ============================================== -#} | |
| {%- macro render_tool_namespace(namespace_name, tool_list) -%} | |
| {%- for tool in tool_list -%} | |
| <tool>{{ tool.function | tojson(ensure_ascii=False) }}</tool> | |
| {% endfor -%} | |
| {%- endmacro -%} | |
| {%- macro visible_text(content) -%} | |
| {%- if content is string -%} | |
| {{ content }} | |
| {%- elif content is iterable and content is not mapping -%} | |
| {%- for item in content -%} | |
| {%- if item is mapping and item.type == 'text' -%} | |
| {{- item.text }} | |
| {%- elif item is string -%} | |
| {{- item }} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- else -%} | |
| {{- content }} | |
| {%- endif -%} | |
| {%- endmacro -%} | |
| {#- System Message Construction ============================================ -#} | |
| {%- macro build_system_message(system_message) -%} | |
| {%- if system_message and system_message.content -%} | |
| {{- visible_text(system_message.content) }} | |
| {%- else -%} | |
| {%- if model_identity is not defined -%} | |
| {%- set model_identity = "You are a helpful assistant." -%} | |
| {%- endif -%} | |
| {{- model_identity }} | |
| {%- endif -%} | |
| {#- Handle current_date -#} | |
| {%- if system_message and system_message.current_date -%} | |
| {{- '\n' ~ 'Current date: ' + system_message.current_date }} | |
| {%- endif -%} | |
| {#- Handle current_location -#} | |
| {%- if system_message and system_message.current_location -%} | |
| {{- '\n' ~ 'Current location: ' + system_message.current_location }} | |
| {%- endif -%} | |
| {%- endmacro -%} | |
| {#- Main Template Logic ================================================= -#} | |
| {#- Extract system message (only first message if it's system) -#} | |
| {%- set system_message = none -%} | |
| {%- set conversation_messages = messages -%} | |
| {%- if messages and messages[0].role == "system" -%} | |
| {%- set system_message = messages[0] -%} | |
| {%- set conversation_messages = messages[1:] -%} | |
| {%- endif -%} | |
| {#- Get the last user message turn, for interleved thinking -#} | |
| {%- set ns = namespace(last_user_index=-1) %} | |
| {% for m in conversation_messages %} | |
| {%- if m.role == 'user' %} | |
| {% set ns.last_user_index = loop.index0 -%} | |
| {%- endif %} | |
| {%- endfor %} | |
| {#- Render system message -#} | |
| {{- ']~!b[' ~ ']~b]system' ~ '\n' }} | |
| {{- build_system_message(system_message) }} | |
| {#- Render tools if available -#} | |
| {%- if tools -%} | |
| {{- '\n\n' ~ '# Tools' ~ '\n' ~ 'You may call one or more tools to assist with the user query.\nHere are the tools available in JSONSchema format:' ~ '\n' }} | |
| {{- '\n' ~ '<tools>' ~ '\n' }} | |
| {{- render_tool_namespace("functions", tools) }} | |
| {{- '</tools>' ~ '\n\n' }} | |
| {{- 'When making tool calls, use XML format to invoke tools and pass parameters:' ~ '\n' }} | |
| {{- '\n' ~ toolcall_begin_token }} | |
| <invoke name="tool-name-1"> | |
| <parameter name="param-key-1">param-value-1</parameter> | |
| <parameter name="param-key-2">param-value-2</parameter> | |
| ... | |
| </invoke> | |
| {{- '\n' ~ toolcall_end_token }} | |
| {%- endif -%} | |
| {{- '[e~[\n' }} | |
| {#- Render messages -#} | |
| {%- set last_tool_call = namespace(name=none) -%} | |
| {%- for message in conversation_messages -%} | |
| {%- if message.role == 'assistant' -%} | |
| {#- Only render reasoning_content if no user message follows -#} | |
| {{- ']~b]ai' ~ '\n' }} | |
| {%- set reasoning_content = '' %} | |
| {%- set content = visible_text(message.content) %} | |
| {%- if message.reasoning_content is string %} | |
| {%- set reasoning_content = message.reasoning_content %} | |
| {%- else %} | |
| {%- if '</think>' in content %} | |
| {%- set reasoning_content = content.split('</think>')[0].strip('\n').split('<think>')[-1].strip('\n') %} | |
| {%- set content = content.split('</think>')[-1].strip('\n') %} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- if reasoning_content and loop.index0 > ns.last_user_index -%} | |
| {{- '<think>' ~ '\n' ~ reasoning_content ~ '\n' ~ '</think>' ~ '\n\n' }} | |
| {%- endif -%} | |
| {%- if content -%} | |
| {{- content }} | |
| {%- endif -%} | |
| {%- if message.tool_calls -%} | |
| {{- '\n' ~ toolcall_begin_token ~ '\n' }} | |
| {%- for tool_call in message.tool_calls -%} | |
| {%- if tool_call.function %} | |
| {%- set tool_call = tool_call.function %} | |
| {%- endif %} | |
| {{- '<invoke name="' + tool_call.name + '">' }} | |
| {% set _args = tool_call.arguments %} | |
| {%- for k, v in _args.items() %} | |
| {{- '<parameter name="' + k + '">' }} | |
| {{- v | tojson(ensure_ascii=False) if v is not string else v }} | |
| {{- '</parameter>' }} | |
| {% endfor %} | |
| {{- '</invoke>' ~ '\n' }} | |
| {%- endfor -%} | |
| {{- toolcall_end_token}} | |
| {%- set last_tool_call.name = message.tool_calls[-1].function.name -%} | |
| {%- else -%} | |
| {%- set last_tool_call.name = none -%} | |
| {%- endif -%} | |
| {{- '[e~[' ~ '\n' }} | |
| {%- elif message.role == 'tool' -%} | |
| {%- if last_tool_call.name is none -%} | |
| {{- raise_exception("Message has tool role, but there was no previous assistant message with a tool call!") }} | |
| {%- endif -%} | |
| {%- if loop.first or (conversation_messages[loop.index0 - 1].role != 'tool') -%} | |
| {{- ']~b]tool' }} | |
| {%- endif -%} | |
| {%- if message.content is string -%} | |
| {{- '\n<response>' }} | |
| {{- message.content }} | |
| {{- '</response>' }} | |
| {%- else -%} | |
| {%- for tr in message.content -%} | |
| {{- '\n<response>' }} | |
| {{- tr.output if tr.output is defined else (tr.text if tr.type == 'text' and tr.text is defined else tr) }} | |
| {{- '\n</response>' }} | |
| {%- endfor -%} | |
| {%- endif -%} | |
| {%- if loop.last or (conversation_messages[loop.index0 + 1].role != 'tool') -%} | |
| {{- '[e~[\n' -}} | |
| {%- endif -%} | |
| {%- elif message.role == 'user' -%} | |
| {{- ']~b]user' ~ '\n' }} | |
| {{- visible_text(message.content) }} | |
| {{- '[e~[' ~ '\n' }} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {#- Generation prompt -#} | |
| {%- if add_generation_prompt -%} | |
| {{- ']~b]ai' ~ '\n' ~ '<think>' ~ '\n' }} | |
| {%- endif -%} | |