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 bos_token = '<seed:bos>' -%} | |
| {%- set eos_token = '<seed:eos>' -%} | |
| {%- set pad_token = '<seed:pad>' -%} | |
| {%- set toolcall_begin_token = '<seed:tool_call>' -%} | |
| {%- set toolcall_end_token = '</seed:tool_call>' -%} | |
| {%- set think_begin_token = '<seed:think>' -%} | |
| {%- set think_end_token = '</seed:think>' -%} | |
| {%- set budget_begin_token = '<seed:cot_budget_reflect>'-%} | |
| {%- set budget_end_token = '</seed:cot_budget_reflect>'-%} | |
| {# -------------- reflection-interval lookup -------------- #} | |
| {%- if not thinking_budget is defined %} | |
| {%- set thinking_budget = -1 -%} | |
| {%- endif -%} | |
| {%- set budget_reflections_v05 = { | |
| 0: 0, | |
| 512: 128, | |
| 1024: 256, | |
| 2048: 512, | |
| 4096: 512, | |
| 8192: 1024, | |
| 16384: 1024 | |
| } -%} | |
| {# Find the first gear that is greater than or equal to the thinking_budget. #} | |
| {%- set ns = namespace(interval = None) -%} | |
| {%- for k, v in budget_reflections_v05 | dictsort -%} | |
| {%- if ns.interval is none and thinking_budget <= k -%} | |
| {%- set ns.interval = v -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {# If it exceeds the maximum gear, use the value of the last gear #} | |
| {%- if ns.interval is none -%} | |
| {%- set ns.interval = budget_reflections_v05[16384] -%} | |
| {%- endif -%} | |
| {# ---------- Preprocess the system message ---------- #} | |
| {%- if messages[0]["role"] == "system" %} | |
| {%- set system_message = messages[0]["content"] %} | |
| {%- set loop_messages = messages[1:] %} | |
| {%- else %} | |
| {%- set loop_messages = messages %} | |
| {%- endif %} | |
| {# ---------- Ensure tools exist ---------- #} | |
| {%- if not tools is defined or tools is none %} | |
| {%- set tools = [] %} | |
| {%- endif %} | |
| {# tools2doc.jinja #} | |
| {%- macro py_type(t) -%} | |
| {%- if t == "string" -%}str | |
| {%- elif t in ("number", "integer") -%}int | |
| {%- elif t == "boolean" -%}bool | |
| {%- elif t == "array" -%}list | |
| {%- else -%}Any{%- endif -%} | |
| {%- endmacro -%} | |
| {# ---------- Output the system block ---------- #} | |
| {%- if system_message is defined %} | |
| {{ bos_token + "system\n" + system_message }} | |
| {%- else %} | |
| {%- if tools is iterable and tools | length > 0 %} | |
| {{ bos_token + "system\nYou are Doubao, a helpful AI assistant. You may call one or more functions to assist with the user query." }} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- if use_json_tooldef is defined and use_json_tooldef %} | |
| {{"Tool List:\nYou are authorized to use the following tools (described in JSON Schema format). Before performing any task, you must decide how to call them based on the descriptions and parameters of these tools."}} | |
| {{ tools | tojson(ensure_ascii=False) }} | |
| {%- else %} | |
| {%- for item in tools if item.type == "function" %} | |
| Function: | |
| def {{ item.function.name }}( | |
| {%- for name, spec in item.function.parameters.properties.items() %} | |
| {{- name }}: {{ py_type(spec.type) }}{% if not loop.last %},{% endif %} | |
| {%- endfor %}): | |
| """ | |
| {{ item.function.description | trim }} | |
| {# ---------- Args ---------- #} | |
| {%- if item.function.parameters.properties %} | |
| Args: | |
| {%- for name, spec in item.function.parameters.properties.items() %} | |
| - {{ name }} ({{ py_type(spec.type) }}) | |
| {%- if name in item.function.parameters.required %} [必填]{% else %} [选填]{% endif %}: | |
| {{- " " ~ (spec.description or "") }} | |
| {%- endfor %} | |
| {%- endif %} | |
| {# ---------- Returns ---------- #} | |
| {%- if item.function.returns is defined | |
| and item.function.returns.properties is defined | |
| and item.function.returns.properties %} | |
| Returns: | |
| {%- for name, spec in item.function.returns.properties.items() %} | |
| - {{ name }} ({{ py_type(spec.type) }}): | |
| {{- " " ~ (spec.description or "") }} | |
| {%- endfor %} | |
| {%- endif %} | |
| """ | |
| {%- endfor %} | |
| {%- endif %} | |
| {%- if tools is iterable and tools | length > 0 %} | |
| {{"工具调用请遵循如下格式:\n<seed:tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>value_1</parameter>\n<parameter=example_parameter_2>This is the value for the second parameter\nthat can span\nmultiple lines</parameter>\n</function>\n</seed:tool_call>\n"}} | |
| {%- endif %} | |
| {# End the system block line #} | |
| {%- if system_message is defined or tools is iterable and tools | length > 0 %} | |
| {{ eos_token }} | |
| {%- endif %} | |
| {# ---------- Thinking Budget ---------- #} | |
| {%- if thinking_budget is defined %} | |
| {%- if thinking_budget == 0 %} | |
| {{ bos_token+"system" }} | |
| {{ "You are an intelligent assistant that can answer questions in one step without the need for reasoning and thinking, that is, your thinking budget is 0. Next, please skip the thinking process and directly start answering the user's questions." }} | |
| {{ eos_token }} | |
| {%- elif not thinking_budget == -1 %} | |
| {{ bos_token+"system" }} | |
| {{ "You are an intelligent assistant with reflective ability. In the process of thinking and reasoning, you need to strictly follow the thinking budget, which is "}}{{thinking_budget}}{{". That is, you need to complete your thinking within "}}{{thinking_budget}}{{" tokens and start answering the user's questions. You will reflect on your thinking process every "}}{{ns.interval}}{{" tokens, stating how many tokens have been used and how many are left."}} | |
| {{ eos_token }} | |
| {%- endif %} | |
| {%- endif %} | |
| {# ---------- List the historical messages one by one ---------- #} | |
| {%- for message in loop_messages %} | |
| {%- if message.role == "assistant" | |
| and message.tool_calls is defined | |
| and message.tool_calls is iterable | |
| and message.tool_calls | length > 0 %} | |
| {{ bos_token + message.role }} | |
| {%- if message.reasoning_content is defined and message.reasoning_content is string and message.reasoning_content | trim | length > 0 %} | |
| {{ "\n" + think_begin_token + message.reasoning_content | trim + think_end_token }} | |
| {%- endif %} | |
| {%- if message.content is defined and message.content is string and message.content | trim | length > 0 %} | |
| {{ "\n" + message.content | trim + "\n" }} | |
| {%- endif %} | |
| {%- for tool_call in message.tool_calls %} | |
| {%- if tool_call.function is defined %}{% set tool_call = tool_call.function %}{% endif %} | |
| {{ "\n" + toolcall_begin_token + "\n<function=" + tool_call.name + ">\n" }} | |
| {%- if tool_call.arguments is defined %} | |
| {%- for arg_name, arg_value in tool_call.arguments | items %} | |
| {{ "<parameter=" + arg_name + ">" }} | |
| {%- set arg_value = arg_value if arg_value is string else arg_value | string %} | |
| {{ arg_value+"</parameter>\n" }} | |
| {%- endfor %} | |
| {%- endif %} | |
| {{ "</function>\n" + toolcall_end_token }} | |
| {%- endfor %} | |
| {{ eos_token }} | |
| {%- elif message.role in ["user", "system"] %} | |
| {{ bos_token + message.role + "\n" + message.content + eos_token }} | |
| {%- elif message.role == "assistant" %} | |
| {{ bos_token + message.role }} | |
| {%- if message.reasoning_content is defined and message.reasoning_content is string and message.reasoning_content | trim | length > 0 %} | |
| {{ "\n" + think_begin_token + message.reasoning_content | trim + think_end_token }} | |
| {%- endif %} | |
| {%- if message.content is defined and message.content is string and message.content | trim | length > 0 %} | |
| {{ "\n" + message.content | trim + eos_token }} | |
| {%- endif %} | |
| {# Include the tool role #} | |
| {%- else %} | |
| {{ bos_token + message.role + "\n" + message.content + eos_token }} | |
| {%- endif %} | |
| {%- endfor %} | |
| {# ---------- Control the model to start continuation ---------- #} | |
| {%- if add_generation_prompt %} | |
| {{ bos_token+"assistant\n" }} | |
| {%- if thinking_budget == 0 %} | |
| {{ think_begin_token + "\n" + budget_begin_token + "The current thinking budget is 0, so I will directly start answering the question." + budget_end_token + "\n" + think_end_token }} | |
| {%- endif %} | |
| {%- endif %} |