Text Generation
Transformers
Safetensors
llada2_moe
dllm
diffusion
llm
text_generation
conversational
custom_code
Instructions to use inclusionAI/LLaDA2.2-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/LLaDA2.2-flash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="inclusionAI/LLaDA2.2-flash", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("inclusionAI/LLaDA2.2-flash", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use inclusionAI/LLaDA2.2-flash with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "inclusionAI/LLaDA2.2-flash" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "inclusionAI/LLaDA2.2-flash", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/inclusionAI/LLaDA2.2-flash
- SGLang
How to use inclusionAI/LLaDA2.2-flash 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 "inclusionAI/LLaDA2.2-flash" \ --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": "inclusionAI/LLaDA2.2-flash", "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 "inclusionAI/LLaDA2.2-flash" \ --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": "inclusionAI/LLaDA2.2-flash", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use inclusionAI/LLaDA2.2-flash with Docker Model Runner:
docker model run hf.co/inclusionAI/LLaDA2.2-flash
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LLaDA22 chat template — NO-THINK variant.
Usage:
start_header: "<role>assistant</role>"
end_header: "<|role_end|>"
end_learnable_inclusive: true
#}
{#- Message Content Rendering ============================================== #}
{%- macro render_content(content) -%}
{%- if content is string -%}
{{- content -}}
{%- elif content is iterable and content is not mapping -%}
{%- for item in content -%}
{%- if item is mapping -%}
{%- if 'text' in item -%}
{{- item.text -}}
{%- elif 'image' in item or 'image_url' in item or item.get('type') == 'image' -%}
{{- raise_exception('Constraint Violation: Image data detected.') -}}
{%- elif 'video' in item or item.get('type') == 'video' -%}
{{- raise_exception('Constraint Violation: Video data detected.') -}}
{%- else -%}
{{- raise_exception('Invalid mapping structure: Missing "text" key.') -}}
{%- endif -%}
{%- elif item is string -%}
{{- item -}}
{%- else -%}
{{- raise_exception('Invalid item type: Must be string or mapping.') -}}
{%- endif -%}
{%- endfor -%}
{%- elif content is none or content is undefined -%}
{{- '' -}}
{%- else -%}
{{- raise_exception('Fatal error: Content must be a string, iterable, or None.') -}}
{%- endif -%}
{%- endmacro -%}
{%- macro render_toolcalls(message, ns_tool) -%}
{{- '<|tool_calls_section_begin|>' -}}
{%- for tool_call in message.get('tool_calls', []) -%}
{%- set original_id = tool_call.get('id', '') -%}
{%- set func_name = tool_call.get('function', {}).get('name', 'unknown') -%}
{%- set tool_id = 'functions.' + func_name + ':' + ns_tool.index|string -%}
{%- set ns_tool.id_map = ns_tool.id_map + [[original_id, tool_id]] -%}
{%- set ns_tool.index = ns_tool.index + 1 -%}
{%- set args = tool_call.get('function', {}).get('arguments', '') -%}
{{- '<|tool_call_begin|>' + tool_id + '<|tool_call_argument_begin|>' -}}
{%- if args is string -%}
{{- args -}}
{%- else -%}
{{- args | tojson -}}
{%- endif -%}
{{- '<|tool_call_end|>' -}}
{%- endfor -%}
{{- '<|tool_calls_section_end|>' -}}
{%- endmacro -%}
{%- if not messages -%}
{{- raise_exception('No messages provided.') -}}
{%- endif -%}
{# 1. System Instruction, Model Identity & Tools Injection #}
{%- set ns_sys = namespace(has_system=false, content='') -%}
{%- if messages[0].role == 'system' -%}
{%- set ns_sys.has_system = true -%}
{%- if ns_sys.content -%}
{%- set ns_sys.content = ns_sys.content + '\n\n' -%}
{%- endif -%}
{%- set ns_sys.content = ns_sys.content + render_content(messages[0].content) -%}
{%- endif -%}
{%- if tools or ns_sys.content -%}
{{- '<role>system</role>' -}}
{%- if ns_sys.content -%}
{{- ns_sys.content -}}
{%- if tools -%}{{ '\n\n' }}{%- endif -%}
{%- endif -%}
{#- Tool Definition Rendering -#}
{%- if tools and tools is iterable and tools is not mapping -%}
{{- "<tools>\n" -}}
{%- if tools_ts_str -%}
{{- tools_ts_str -}}
{%- else -%}
{%- for tool in tools -%}
{{- tool | tojson(ensure_ascii=False) -}}{{ '\n' -}}
{%- endfor -%}
{%- endif -%}
{{- "</tools>\n" -}}
{%- endif -%}
{{- '<|role_end|>' -}}
{%- endif -%}
{# 2. Main Message Rendering Loop #}
{%- set ns_tool = namespace(index=0, id_map=[]) -%}
{%- for message in messages -%}
{# Skip the first System message as it is pre-rendered above #}
{%- if not (loop.first and message.role == 'system') -%}
{%- set content_text = render_content(message.content) -%}
{%- set role_name = message.get('name') or message.role -%}
{%- if message.role == 'user' or message.role == 'system' -%}
{{- '<role>' + role_name + '</role>' -}}
{{- content_text + '<|role_end|>' -}}
{%- elif message.role == 'assistant' -%}
{{- '<role>' + role_name + '</role>' -}}
{#- NO-THINK: completely ignore reasoning_content, strip <think> from content -#}
{%- set final_content = content_text -%}
{#- Strip embedded <think>...</think> from content if present -#}
{%- if '<think>' in final_content and '</think>' in final_content -%}
{%- set parts = final_content.split('</think>', 1) -%}
{%- set final_content = parts[1].strip() -%}
{%- endif -%}
{#- Output content directly, no think tags -#}
{%- if final_content -%}
{{- final_content -}}
{%- endif -%}
{%- if message.tool_calls -%}
{{- render_toolcalls(message, ns_tool) -}}
{%- endif -%}
{{- '<|role_end|>' -}}
{%- elif message.role == 'tool' -%}
{{- '<role>tool</role>' -}}
{%- set original_id = message.get('tool_call_id', '') -%}
{%- set ns_lookup = namespace(mapped_id=original_id) -%}
{%- for pair in ns_tool.id_map -%}
{%- if pair[0] == original_id -%}
{%- set ns_lookup.mapped_id = pair[1] -%}
{%- endif -%}
{%- endfor -%}
{{- '## Return of ' + ns_lookup.mapped_id + '\n' -}}
{{- content_text + '\n<|role_end|>' -}}
{%- endif -%}
{%- endif -%}
{%- endfor -%}
{# 3. Generation Prompt Suffix — no think tag #}
{%- if add_generation_prompt -%}
{{- '<role>assistant</role>' -}}
{%- endif -%}
|