Text Generation
Transformers
Safetensors
English
Korean
Spanish
exaone4
lg-ai
exaone
exaone-4.0
conversational
Instructions to use LGAI-EXAONE/EXAONE-4.0-1.2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LGAI-EXAONE/EXAONE-4.0-1.2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="LGAI-EXAONE/EXAONE-4.0-1.2B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("LGAI-EXAONE/EXAONE-4.0-1.2B") model = AutoModelForCausalLM.from_pretrained("LGAI-EXAONE/EXAONE-4.0-1.2B") 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 Settings
- vLLM
How to use LGAI-EXAONE/EXAONE-4.0-1.2B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "LGAI-EXAONE/EXAONE-4.0-1.2B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LGAI-EXAONE/EXAONE-4.0-1.2B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/LGAI-EXAONE/EXAONE-4.0-1.2B
- SGLang
How to use LGAI-EXAONE/EXAONE-4.0-1.2B 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 "LGAI-EXAONE/EXAONE-4.0-1.2B" \ --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": "LGAI-EXAONE/EXAONE-4.0-1.2B", "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 "LGAI-EXAONE/EXAONE-4.0-1.2B" \ --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": "LGAI-EXAONE/EXAONE-4.0-1.2B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use LGAI-EXAONE/EXAONE-4.0-1.2B with Docker Model Runner:
docker model run hf.co/LGAI-EXAONE/EXAONE-4.0-1.2B
File size: 5,487 Bytes
476c5d0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 | {%- if not skip_think is defined %}
{%- set skip_think = true %}
{%- endif %}
{%- set role_indicators = {
'user': '[|user|]\n',
'assistant': '[|assistant|]\n',
'system': '[|system|]\n',
'tool': '[|tool|]\n'
} %}
{%- set end_of_turn = '[|endofturn|]\n' %}
{%- macro available_tools(tools) %}
{{- "# Available Tools" }}
{{- "\nYou can use none, one, or multiple of the following tools by calling them as functions to help with the user’s query." }}
{{- "\nHere are the tools available to you in JSON format within <tool> and </tool> tags:\n" }}
{%- for tool in tools %}
{{- "<tool>" }}
{{- tool | tojson(ensure_ascii=False) | safe }}
{{- "</tool>\n" }}
{%- endfor %}
{{- "\nFor each function call you want to make, return a JSON object with function name and arguments within <tool_call> and </tool_call> tags, like:" }}
{{- "\n<tool_call>{\"name\": function_1_name, \"arguments\": {argument_1_name: argument_1_value, argument_2_name: argument_2_value}}</tool_call>" }}
{{- "\n<tool_call>{\"name\": function_2_name, \"arguments\": {...}}</tool_call>\n..." }}
{{- "\nNote that if no argument name is specified for a tool, you can just print the argument value directly, without the argument name or JSON formatting." }}
{%- endmacro %}
{%- set ns = namespace(last_query_index = messages|length - 1) %}
{%- for message in messages %}
{%- if message.role == "user" and message.content is string %}
{%- set ns.last_query_index = loop.index0 -%}
{%- endif %}
{%- endfor %}
{%- for i in range(messages | length) %}
{%- set msg = messages[i] %}
{%- set role = msg.role %}
{%- if role not in role_indicators %}
{{- raise_exception('Unknown role: ' ~ role) }}
{%- endif %}
{%- if i == 0 %}
{%- if role == 'system' %}
{{- role_indicators['system'] }}
{{- msg.content }}
{%- if tools is defined and tools %}
{{- "\n\n" }}{{- available_tools(tools) }}
{%- endif %}
{{- end_of_turn -}}
{%- continue %}
{%- elif tools is defined and tools %}
{{- role_indicators['system'] }}
{{- available_tools(tools) }}
{{- end_of_turn -}}
{%- endif %}
{%- endif %}
{%- if role == 'assistant' %}
{{- role_indicators['assistant'] }}
{%- if msg.content %}
{%- if "</think>" in msg.content %}
{%- set content = msg.content.split('</think>')[-1].strip() %}
{%- set reasoning_content = msg.content.split('</think>')[0].strip() %}
{%- if reasoning_content.startswith("<think>") %}
{%- set reasoning_content = reasoning_content[9:].strip() %}
{%- endif %}
{%- else %}
{%- set content = msg.content %}
{%- endif %}
{%- if msg.reasoning_content %}
{%- set reasoning_content = msg.reasoning_content %}
{%- endif %}
{%- if (not skip_think and loop.last) and reasoning_content is defined %}
{{- "<think>\n" }}
{{- reasoning_content}}
{{- "\n</think>\n\n" }}
{%- else %}
{{- "<think>\n\n</think>\n\n" }}
{%- endif %}
{{- content }}
{%- endif %}
{%- if msg.tool_calls %}
{%- if msg.content %}
{{- "\n" }}
{%- else %}
{{- "<think>\n\n</think>\n\n" }}
{%- endif %}
{%- for tool_call in msg.tool_calls %}
{%- if tool_call.function is defined %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{%- if tool_call.arguments is defined %}
{%- set arguments = tool_call.arguments %}
{%- elif tool_call.parameters is defined %}
{%- set arguments = tool_call.parameters %}
{%- else %}
{{- raise_exception('arguments or parameters are mandatory: ' ~ tool_call) }}
{%- endif %}
{{- "<tool_call>" }}{"name": "{{- tool_call.name }}", "arguments": {{ arguments | tojson(ensure_ascii=False) | safe }}}{{- "</tool_call>" }}
{%- if not loop.last %}
{{- "\n" }}
{%- endif %}
{%- endfor %}
{%- endif %}
{{- end_of_turn -}}
{%- elif role == "tool" %}
{%- if i == 0 or messages[i - 1].role != "tool" %}
{{- role_indicators['tool'] }}
{%- endif %}
{%- if msg.content is defined %}
{{- "<tool_result>" }}{"result": {{ msg.content | tojson(ensure_ascii=False) | safe }}}{{- "</tool_result>" }}
{%- endif %}
{%- if loop.last or messages[i + 1].role != "tool" %}
{{- end_of_turn -}}
{%- else %}
{{- "\n" }}
{%- endif %}
{%- else %}
{{- role_indicators[role] }}
{{- msg.content }}
{{- end_of_turn -}}
{%- endif %}
{% endfor %}
{%- if add_generation_prompt %}
{{- role_indicators['assistant'] }}
{%- if enable_thinking is defined and enable_thinking is true %}
{{- "<think>\n" }}
{%- else %}
{{- "<think>\n\n</think>\n\n" }}
{%- endif %}
{%- endif %} |