Text Generation
Transformers
Safetensors
afmoe
reasoning
agentic
tool-calling
thinking
conversational
custom_code
Eval Results
Instructions to use invinciblejha01/Trinity-Large-Thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use invinciblejha01/Trinity-Large-Thinking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="invinciblejha01/Trinity-Large-Thinking", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("invinciblejha01/Trinity-Large-Thinking", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("invinciblejha01/Trinity-Large-Thinking", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use invinciblejha01/Trinity-Large-Thinking with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "invinciblejha01/Trinity-Large-Thinking" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "invinciblejha01/Trinity-Large-Thinking", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/invinciblejha01/Trinity-Large-Thinking
- SGLang
How to use invinciblejha01/Trinity-Large-Thinking with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "invinciblejha01/Trinity-Large-Thinking" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "invinciblejha01/Trinity-Large-Thinking", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "invinciblejha01/Trinity-Large-Thinking" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "invinciblejha01/Trinity-Large-Thinking", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use invinciblejha01/Trinity-Large-Thinking with Docker Model Runner:
docker model run hf.co/invinciblejha01/Trinity-Large-Thinking
| <|begin_of_text|>{%- macro render_extra_keys(json_dict, handled_keys) -%} | |
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| {%- endif %} | |
| {%- endfor %} | |
| {%- endif %} | |
| {%- endmacro -%} | |
| {%- macro render_tool_call(raw_tool_call) -%} | |
| {%- if raw_tool_call.function is defined and raw_tool_call.function is mapping %} | |
| {%- set tool_call = raw_tool_call.function %} | |
| {%- else %} | |
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| {%- endif %} | |
| {{- '<tool_call>\n<function=' + (tool_call.name | default('') | string) + '>\n' }} | |
| {%- if tool_call.arguments is defined and tool_call.arguments is mapping %} | |
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| {{- '<parameter=' + (args_name | string) + '>\n' }} | |
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| {%- else %} | |
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| {%- endif %} | |
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| {%- endfor %} | |
| {%- endif %} | |
| {{- '</function>\n</tool_call>' }} | |
| {%- endmacro -%} | |
| {%- set system_message = none %} | |
| {%- if messages and messages[0]["role"] == "system" %} | |
| {%- set system_message = messages[0]["content"] %} | |
| {%- set loop_messages = messages[1:] %} | |
| {%- else %} | |
| {%- set loop_messages = messages %} | |
| {%- endif %} | |
| {%- if not tools is defined %} | |
| {%- set tools = [] %} | |
| {%- endif %} | |
| {%- set has_tools = tools is iterable and tools is not string and tools | length > 0 %} | |
| {%- if system_message is not none or has_tools %} | |
| {{- '<|im_start|>system\n' }} | |
| {%- if system_message is not none %} | |
| {{- system_message }} | |
| {%- else %} | |
| {{- "You are Trinity Large, a helpful assistant developed by Arcee AI, that can interact with a computer to solve tasks." }} | |
| {%- endif %} | |
| {%- if has_tools %} | |
| {{- "\n\n# Tools\n\nYou have access to the following functions:\n\n<tools>" }} | |
| {%- for tool in tools %} | |
| {%- if tool.function is defined and tool.function is mapping %} | |
| {%- set tool = tool.function %} | |
| {%- endif %} | |
| {{- '\n<function>\n<name>' ~ (tool.name | default('') | string) ~ '</name>' }} | |
| {%- if tool.description is defined and tool.description is not none %} | |
| {{- '\n<description>' ~ (tool.description | string | trim) ~ '</description>' }} | |
| {%- endif %} | |
| {{- '\n<parameters>' }} | |
| {%- if tool.parameters is defined and tool.parameters is mapping and tool.parameters.properties is defined and tool.parameters.properties is mapping %} | |
| {%- for param_name, param_fields in tool.parameters.properties.items() %} | |
| {{- '\n<parameter>\n<name>' ~ (param_name | string) ~ '</name>' }} | |
| {%- if param_fields is mapping and param_fields.type is defined and param_fields.type is not none %} | |
| {{- '\n<type>' ~ (param_fields.type | string) ~ '</type>' }} | |
| {%- endif %} | |
| {%- if param_fields is mapping and param_fields.description is defined and param_fields.description is not none %} | |
| {{- '\n<description>' ~ (param_fields.description | string | trim) ~ '</description>' }} | |
| {%- endif %} | |
| {%- if param_fields is mapping %} | |
| {%- set handled_keys = ['name', 'type', 'description'] %} | |
| {{- render_extra_keys(param_fields, handled_keys) }} | |
| {%- endif %} | |
| {{- '\n</parameter>' }} | |
| {%- endfor %} | |
| {%- endif %} | |
| {%- if tool.parameters is defined %} | |
| {%- set handled_keys = ['type', 'properties'] %} | |
| {{- render_extra_keys(tool.parameters, handled_keys) }} | |
| {%- endif %} | |
| {{- '\n</parameters>' }} | |
| {%- set handled_keys = ['type', 'name', 'description', 'parameters'] %} | |
| {{- render_extra_keys(tool, handled_keys) }} | |
| {{- '\n</function>' }} | |
| {%- endfor %} | |
| {{- "\n</tools>" }} | |
| {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }} | |
| {%- endif %} | |
| {{- '<|im_end|>\n' }} | |
| {%- endif %} | |
| {%- for message in loop_messages %} | |
| {%- set role = message.role | default('') %} | |
| {%- if role == "assistant" %} | |
| {%- set content_str = '' if message.content is none else (message.content | string) %} | |
| {%- set trimmed_content = content_str | trim %} | |
| {%- set has_reasoning_content = message.reasoning_content is defined %} | |
| {%- set has_reasoning = has_reasoning_content or (message.reasoning is defined) %} | |
| {%- if has_reasoning_content %} | |
| {%- set reasoning_value = message.reasoning_content %} | |
| {%- elif message.reasoning is defined %} | |
| {%- set reasoning_value = message.reasoning %} | |
| {%- else %} | |
| {%- set reasoning_value = none %} | |
| {%- endif %} | |
| {%- set has_tool_calls = message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls is not string and message.tool_calls | length > 0 %} | |
| {{- '<|im_start|>assistant\n' }} | |
| {%- if has_reasoning %} | |
| {%- if reasoning_value %} | |
| {{- '<think>' + (reasoning_value | string | trim) + '</think>' }} | |
| {%- else %} | |
| {{- '<think></think>' }} | |
| {%- endif %} | |
| {%- if trimmed_content %} | |
| {{- '\n' + trimmed_content }} | |
| {%- endif %} | |
| {%- elif has_tool_calls %} | |
| {%- if trimmed_content %} | |
| {{- trimmed_content }} | |
| {%- endif %} | |
| {%- else %} | |
| {{- content_str }} | |
| {%- endif %} | |
| {%- if has_tool_calls %} | |
| {%- for tool_call in message.tool_calls %} | |
| {%- set separator = '\n' if ((loop.first and (has_reasoning or trimmed_content)) or (not loop.first)) else '' -%} | |
| {{- separator + render_tool_call(tool_call) }} | |
| {%- endfor %} | |
| {%- endif %} | |
| {{- '<|im_end|>\n' }} | |
| {%- elif role == "tool" or role == "observation" or role == "function" %} | |
| {%- if loop.first or loop.previtem.role not in ["tool", "observation", "function"] %} | |
| {{- '<|im_start|>user\n' }} | |
| {%- endif %} | |
| {{- '<tool_response>\n' }} | |
| {{- '' if message.content is none else (message.content | string) }} | |
| {{- '\n</tool_response>\n' }} | |
| {%- if loop.last or loop.nextitem.role not in ["tool", "observation", "function"] %} | |
| {{- '<|im_end|>\n' }} | |
| {%- endif %} | |
| {%- else %} | |
| {{- '<|im_start|>' + (role | string) }} | |
| {{- '\n' + ('' if message.content is none else (message.content | string)) }} | |
| {{- '<|im_end|>\n' }} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- if add_generation_prompt %} | |
| {{- '<|im_start|>assistant\n<think>' }} | |
| {%- endif %} |