Text Generation
Transformers
Safetensors
Kernels
English
laguna_dense
moe-to-dense
densification
laguna
code
triton
cuda
reconstruction-pretraining
pretrained
conversational
custom_code
Instructions to use EvanOLeary/laguna-xs2-dense-k8-kernelmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EvanOLeary/laguna-xs2-dense-k8-kernelmix with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="EvanOLeary/laguna-xs2-dense-k8-kernelmix", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("EvanOLeary/laguna-xs2-dense-k8-kernelmix", trust_remote_code=True, device_map="auto") - Kernels
How to use EvanOLeary/laguna-xs2-dense-k8-kernelmix with Kernels:
# !pip install kernels from kernels import get_kernel # a version (or an explicit revision) is required; see the "Files and versions" tab for the available ones kernel = get_kernel("EvanOLeary/laguna-xs2-dense-k8-kernelmix", version=1) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use EvanOLeary/laguna-xs2-dense-k8-kernelmix with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "EvanOLeary/laguna-xs2-dense-k8-kernelmix" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "EvanOLeary/laguna-xs2-dense-k8-kernelmix", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/EvanOLeary/laguna-xs2-dense-k8-kernelmix
- SGLang
How to use EvanOLeary/laguna-xs2-dense-k8-kernelmix 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 "EvanOLeary/laguna-xs2-dense-k8-kernelmix" \ --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": "EvanOLeary/laguna-xs2-dense-k8-kernelmix", "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 "EvanOLeary/laguna-xs2-dense-k8-kernelmix" \ --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": "EvanOLeary/laguna-xs2-dense-k8-kernelmix", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use EvanOLeary/laguna-xs2-dense-k8-kernelmix with Docker Model Runner:
docker model run hf.co/EvanOLeary/laguna-xs2-dense-k8-kernelmix
Upload chat_template.jinja with huggingface_hub
Browse files- chat_template.jinja +132 -0
chat_template.jinja
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| 1 |
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{#- Iteration on laguna_glm_thinking_v5/chat_template.jinja -#}
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| 2 |
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{#- Adds a default system message (used when no system message is provided in `messages`). -#}
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{{- "〈|EOS|〉" -}}
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{%- set enable_thinking = enable_thinking | default(false) -%}
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| 5 |
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{%- set render_assistant_messages_raw = render_assistant_messages_raw | default(false) -%}
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| 6 |
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{%- set add_generation_prompt = add_generation_prompt | default(false) -%}
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| 7 |
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| 8 |
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{#- ───── header (system message) ───── -#}
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| 9 |
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{%- set system_message = "You are a helpful, conversationally-fluent assistant made by Poolside. You are here to be helpful to users through natural language conversations." -%}
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| 10 |
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{%- if messages and messages[0].role == "system" -%}
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| 11 |
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{%- set system_message = messages[0].content -%}
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| 12 |
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{%- endif -%}
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| 13 |
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| 14 |
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{%- if (system_message and system_message.strip()) or tools -%}
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| 15 |
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{{- "<system>\n" -}}
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| 16 |
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| 17 |
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{%- if system_message and system_message.strip() -%}
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| 18 |
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{{- "\n" -}}
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| 19 |
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{{- system_message.rstrip() -}}
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| 20 |
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{%- endif -%}
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| 21 |
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| 22 |
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{%- if tools -%}
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| 23 |
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{{- "\n\n### Tools\n\n" -}}
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| 24 |
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{%- set ns = namespace(tool_string="You may call functions to assist with the user query.\n"
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| 25 |
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~ "All available function signatures are listed below:\n"
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| 26 |
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~ "<available_tools>\n") -%}
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| 27 |
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{%- for tool in tools -%}
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| 28 |
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{%- set ns.tool_string = ns.tool_string ~ (tool | tojson) ~ "\n" -%}
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| 29 |
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{%- endfor -%}
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| 30 |
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{%- if enable_thinking -%}
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| 31 |
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{%- set tool_string = ns.tool_string + "</available_tools>\n\n" ~
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| 32 |
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"Wrap your thinking in '<think>', '</think>' tags, followed by a function call. For each function call, return an unescaped XML-like object with function name and arguments within '<tool_call>' and '</tool_call>' tags, like here:\n" ~
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| 33 |
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"<think> your thoughts here </think>\n" ~
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| 34 |
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"<tool_call>function-name\n<arg_key>argument-key</arg_key>\n<arg_value>value-of-argument-key</arg_value>\n" ~
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| 35 |
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"</tool_call>" -%}
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| 36 |
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{%- else -%}
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| 37 |
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{%- set tool_string = ns.tool_string + "</available_tools>\n\n" ~
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| 38 |
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"For each function call, return an unescaped XML-like object " ~
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| 39 |
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"with function name and arguments within '<tool_call>' and '</tool_call>' tags, like here:\n" ~
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| 40 |
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"<tool_call>function-name\n<arg_key>argument-key</arg_key>\n<arg_value>value-of-argument-key</arg_value>\n" ~
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| 41 |
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"</tool_call>" -%}
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| 42 |
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{%- endif -%}
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| 43 |
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{{- tool_string -}}
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| 44 |
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{%- endif -%}
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| 45 |
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| 46 |
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{{- "\n</system>\n" -}}
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| 47 |
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{%- endif -%}
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| 48 |
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| 49 |
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{#- ───── main loop ───── -#}
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| 50 |
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{%- for message in messages -%}
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| 51 |
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{%- set content = message.content if message.content is string else "" -%}
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| 52 |
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{%- if message.role == "user" -%}
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| 53 |
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{{- "<user>\n" + content + "\n</user>\n" -}}
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| 54 |
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{%- elif message.role == "assistant" -%}
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| 55 |
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{%- generation -%}
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| 56 |
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{{- "<assistant>\n" -}}
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| 57 |
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{%- if render_assistant_messages_raw -%}
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| 58 |
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{#- Raw mode: prepend the generation prompt token, then dump content verbatim. -#}
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| 59 |
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{#- The generation prompt is <think> when enable_thinking, </think> otherwise. -#}
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| 60 |
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{#- Only prepend if content doesn't already start with it. -#}
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| 61 |
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{%- if enable_thinking -%}
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| 62 |
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{%- if not content.startswith('<think>') -%}
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| 63 |
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{{- '<think>' -}}
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| 64 |
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{%- endif -%}
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| 65 |
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{%- else -%}
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| 66 |
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{%- if not content.startswith('</think>') -%}
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| 67 |
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{{- '</think>' -}}
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| 68 |
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{%- endif -%}
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| 69 |
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{%- endif -%}
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| 70 |
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{{- content -}}
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| 71 |
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{#- Append closing tag if content doesn't already end with it. -#}
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| 72 |
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{%- if not content.endswith('</assistant>\n') and not content.endswith('</assistant>') -%}
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| 73 |
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{{- '\n</assistant>' -}}
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| 74 |
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{%- endif -%}
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| 75 |
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{{- "\n" -}}
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| 76 |
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{%- else -%}
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| 77 |
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{#- Extract reasoning content from message.reasoning (vLLM field name) or message.reasoning_content, or from <think> tags -#}
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| 78 |
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{%- set reasoning_content = '' %}
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| 79 |
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{%- if message.reasoning is string %}
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| 80 |
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{%- set reasoning_content = message.reasoning %}
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| 81 |
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{%- elif message.reasoning_content is string %}
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| 82 |
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{%- set reasoning_content = message.reasoning_content %}
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| 83 |
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{%- endif %}
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| 84 |
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{#- Always strip <think> tags from content if present to avoid duplication -#}
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| 85 |
+
{%- if '</think>' in content %}
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| 86 |
+
{%- if not reasoning_content %}
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| 87 |
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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| 88 |
+
{%- endif %}
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| 89 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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| 90 |
+
{%- endif %}
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| 91 |
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{#- Display reasoning content for all messages -#}
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| 92 |
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{%- if reasoning_content -%}
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| 93 |
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{{- '<think>\n' + reasoning_content.strip() + '\n</think>\n' -}}
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| 94 |
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{%- else -%}
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| 95 |
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{{- '</think>\n' -}}
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| 96 |
+
{%- endif -%}
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| 97 |
+
{#- Display main content -#}
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| 98 |
+
{%- if content.strip() -%}
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| 99 |
+
{{- content.strip() ~ "\n" -}}
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| 100 |
+
{%- endif -%}
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| 101 |
+
{%- if message.tool_calls -%}
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| 102 |
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{%- for tool_call in message.tool_calls -%}
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| 103 |
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{%- set function_data = tool_call.function -%}
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| 104 |
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{{- '<tool_call>' + function_data.name }}
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| 105 |
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{% set _args = function_data.arguments %}
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| 106 |
+
{%- for k, v in _args.items() -%}
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| 107 |
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{{- "<arg_key>" ~ k ~ "</arg_key>\n" -}}
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| 108 |
+
{{- "<arg_value>"}}{{ v | tojson(ensure_ascii=False) if v is not string else v }}{{ "</arg_value>\n" -}}
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| 109 |
+
{%- endfor -%}
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| 110 |
+
{{- "</tool_call>\n" -}}
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| 111 |
+
{%- endfor -%}
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| 112 |
+
{%- endif -%}
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| 113 |
+
{{- "</assistant>\n" -}}
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| 114 |
+
{%- endif -%}
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| 115 |
+
{%- endgeneration -%}
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| 116 |
+
{%- elif message.role == "tool" -%}
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| 117 |
+
{{- "<tool_response>\n" + content + "\n</tool_response>\n" -}}
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| 118 |
+
{%- elif message.role == "system" and loop.index0 != 0 -%}
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| 119 |
+
{#- Render additional system messages (skip the first one which is handled separately in the header) -#}
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| 120 |
+
{{- "<system>\n" + content + "\n</system>\n" -}}
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| 121 |
+
{%- endif -%}
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| 122 |
+
{%- endfor -%}
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| 123 |
+
{#- ───── generation prompt ───── -#}
|
| 124 |
+
{%- if add_generation_prompt -%}
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| 125 |
+
{{- "<assistant>\n" -}}
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| 126 |
+
{#- ───── Include reasoning mode directive ───── -#}
|
| 127 |
+
{%- if not enable_thinking %}
|
| 128 |
+
{{- '</think>' -}}
|
| 129 |
+
{%- else %}
|
| 130 |
+
{{- '<think>' -}}
|
| 131 |
+
{%- endif %}
|
| 132 |
+
{%- endif -%}
|