Instructions to use google/gemma-4-12B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-12B-it with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/gemma-4-12B-it") model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-12B-it") - Notebooks
- Google Colab
- Kaggle
Add AIME 2026 evaluation result
#6
by SaylorTwift HF Staff - opened
- .eval_results/aime_2026.yaml +9 -0
- README.md +3 -20
- chat_template.jinja +41 -68
- config.json +1 -1
- model.safetensors +1 -1
.eval_results/aime_2026.yaml
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- dataset:
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id: MathArena/aime_2026
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task_id: MathArena/aime_2026
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value: 77.5
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date: '2026-05-23'
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notes: No tools
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source:
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url: https://huggingface.co/google/gemma-4-12B-it
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name: Model Card
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README.md
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@@ -16,8 +16,7 @@ base_model:
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<a href="https://huggingface.co/collections/google/gemma-4" target="_blank">Hugging Face</a> |
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<a href="https://github.com/google-gemma" target="_blank">GitHub</a> |
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<a href="https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12B/" target="_blank">Launch Blog</a> |
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<a href="https://ai.google.dev/gemma/docs/core" target="_blank">Documentation</a>
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<a href="https://arxiv.org/abs/2607.02770" target="_blank">Technical Report</a>
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<br>
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<b>License</b>: <a href="https://ai.google.dev/gemma/docs/gemma_4_license" target="_blank">Apache 2.0</a> | <b>Authors</b>: <a href="https://deepmind.google/models/gemma/" target="_blank">Google DeepMind</a>
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</p>
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### 3. Multi-Turn Conversations
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* **No Thinking Content in History**: In multi-turn conversations, the historical model output should only include the final response. Thoughts from previous model turns must *not be added* before the next user turn begins
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### 4. Modality order
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### **Benefits**
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At the time of release, this family of models provides high-performance open vision-language model implementations designed from the ground up for responsible AI development compared to similarly sized models.
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## **Citation**
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If you find our work helpful, please consider citing it:
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```bibtex
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@misc{gemmateam2026gemma4,
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title={Gemma 4 Technical Report},
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author={Gemma Team},
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year={2026},
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eprint={2607.02770},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2607.02770},
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}
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```
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<a href="https://huggingface.co/collections/google/gemma-4" target="_blank">Hugging Face</a> |
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<a href="https://github.com/google-gemma" target="_blank">GitHub</a> |
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<a href="https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12B/" target="_blank">Launch Blog</a> |
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<a href="https://ai.google.dev/gemma/docs/core" target="_blank">Documentation</a>
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<br>
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<b>License</b>: <a href="https://ai.google.dev/gemma/docs/gemma_4_license" target="_blank">Apache 2.0</a> | <b>Authors</b>: <a href="https://deepmind.google/models/gemma/" target="_blank">Google DeepMind</a>
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</p>
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### 3. Multi-Turn Conversations
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* **No Thinking Content in History**: In multi-turn conversations, the historical model output should only include the final response. Thoughts from previous model turns must *not be added* before the next user turn begins.
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### 4. Modality order
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### **Benefits**
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At the time of release, this family of models provides high-performance open vision-language model implementations designed from the ground up for responsible AI development compared to similarly sized models.
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chat_template.jinja
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{#
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Template: Google Gemma 4 Canonical Chat Template
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Author: Google Gemma Engineering Team
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Published: 2026-07-09
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Context: Fixed tool-calling loops, turn closures, and thinking content-ordering.
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#}
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{%- macro format_parameters(properties, required, filter_keys=false) -%}
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{%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
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{%- set ns = namespace(found_first=false) -%}
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}
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{%- endmacro -%}
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{%- macro format_argument(argument, escape_keys=True) -%}
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-
{%- if argument is
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-
{{- 'null' -}}
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-
{%- elif argument is string -%}
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{{- '<|"|>' + argument + '<|"|>' -}}
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{%- elif argument is boolean -%}
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{{- 'true' if argument else 'false' -}}
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@@ -180,21 +172,18 @@
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{{- '<tool_response|>' -}}
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{%- endmacro -%}
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{
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{%- set ns = namespace(prev_message_type=None, prev_non_tool_role=None) -%}
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{%- set loop_messages = messages -%}
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-
{%- set enable_thinking = enable_thinking | default(false) -%}
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{%- set preserve_thinking = preserve_thinking | default(false) -%}
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{{- bos_token -}}
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{#- Handle System/Tool Definitions Block -#}
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{%- if enable_thinking or tools or
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{{- '<|turn>system\n' -}}
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{#- Inject Thinking token at the very top of the FIRST system turn -#}
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{%- if enable_thinking -%}
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{{- '<|think|>\n' -}}
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{%- set ns.prev_message_type = 'think' -%}
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{%- endif -%}
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-
{%- if messages
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{%- if messages[0]['content'] is string -%}
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{{- messages[0]['content'] | trim -}}
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{%- elif messages[0]['content'] is sequence -%}
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@@ -228,22 +217,31 @@
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{%- if message['role'] != 'tool' -%}
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{%- set ns.prev_message_type = None -%}
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{%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
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-
{#- Detect continuation
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{%- set
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{%- if not continue_same_model_turn -%}
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{{- '<|turn>' + role + '\n' }}
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-
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{%- endif -%}
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{#- Render reasoning/reasoning_content as thinking channel -#}
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{%- set thinking_text = message.get('reasoning') or message.get('reasoning_content') -%}
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-
{%-
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{%- if thinking_text and thinking_gate -%}
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{{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
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{%- endif -%}
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{%- if message
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{%- for tool_call in message
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{%- set function = tool_call['function'] -%}
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{{- '<|tool_call>call:' + function['name'] + '{' -}}
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{%- if function['arguments'] is mapping -%}
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{%- set ns_args.found_first = true -%}
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{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
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{%- endfor -%}
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{%- elif function['arguments'] is
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-
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{{- raise_exception(
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"chat_template: tool_calls[].function.arguments must be a "
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"JSON object (mapping), not a string. Deserialize arguments "
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"before passing to the template."
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-
) -}}
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{%- endif -%}
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{{- '}<tool_call|>' -}}
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{%- endfor -%}
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{%- set ns_tr_out = namespace(flag=false) -%}
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{%- if message.get('tool_responses') -%}
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{#- Legacy: tool_responses embedded on the assistant message (Google/Gemma native) -#}
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{%- for tool_response in message
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{{- format_tool_response_block(tool_response['name'] | default('unknown'
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{%- set ns_tr_out.flag = true -%}
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{%- set ns.prev_message_type = 'tool_response' -%}
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{%- endfor -%}
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{%- else -%}
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{%- set follow = loop_messages[k] -%}
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{#- Resolve tool_call_id to function name -#}
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{%- set ns_tname = namespace(name=follow.get('name')
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{%- for tc in message
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{%- if tc.get('id') == follow.get('tool_call_id') -%}
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{%- set ns_tname.name = tc['function']['name'] -%}
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{%- endif -%}
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{%- endfor -%}
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{{- format_tool_response_block(ns_tname.name, ns_txt.s) -}}
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{%- for part in tool_body -%}
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{%- if part.get('type')
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{{- '<|image|>' -}}
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-
{%- elif part.get('type')
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{{- '<|audio|>' -}}
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{%- elif part.get('type') == 'video' -%}
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{{- '<|video|>' -}}
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{%- endif -%}
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{%- set captured_content -%}
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-
{%- if message
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{%- if role == 'model' -%}
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{{- strip_thinking(message['content']) -}}
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{%- else -%}
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{{- message['content'] | trim -}}
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{%- endif -%}
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-
{%- elif message
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{%- for item in message['content'] -%}
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-
{%- if item
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{%- if role == 'model' -%}
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{{- strip_thinking(item['text']) -}}
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{%- else -%}
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{{- item['text'] | trim -}}
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{%- endif -%}
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-
{%- elif item
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{{- '<|image|>' -}}
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-
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{{- '<|audio|>' -}}
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-
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{{- '<|video|>' -}}
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{%- endif -%}
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{%- endfor -%}
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{%- endif -%}
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{{- captured_content -}}
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{%- set has_content = captured_content | trim | length > 0 -%}
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{#- Forward-scan: find next non-tool message role for continuation detection -#}
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{%- set next_nt = namespace(role=None, found=false) -%}
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{%- for j in range(loop.index0 + 1, loop_messages | length) -%}
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-
{%- if not next_nt.found -%}
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-
{%- if loop_messages[j]['role'] != 'tool' -%}
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{%- set next_nt.role = loop_messages[j]['role'] -%}
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{%- set next_nt.found = true -%}
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-
{%- endif -%}
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-
{%- endif -%}
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-
{%- endfor -%}
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-
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-
{%- set continues_into_next = (
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role == 'model'
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-
and next_nt.role == 'assistant'
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-
and (not message.get('tool_calls') or ns_tr_out.flag)
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-
) -%}
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-
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{%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
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{{- '<|tool_response>' -}}
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-
{%- elif
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-
{%- elif not (ns_tr_out.flag and not has_content and not next_nt.found) -%}
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{{- '<turn|>\n' -}}
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{%- endif -%}
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-
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| 376 |
-
{#- Track previous non-tool role for next iteration (avoids O(n) backward scan) -#}
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-
{%- set ns.prev_non_tool_role = message['role'] -%}
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| 378 |
{%- endif -%}
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{%- endfor -%}
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| 381 |
{%- if add_generation_prompt -%}
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| 382 |
{%- if ns.prev_message_type != 'tool_response' and ns.prev_message_type != 'tool_call' -%}
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{{- '<|turn>model\n' -}}
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| 384 |
-
{%- if not enable_thinking -%}
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| 385 |
{{- '<|channel>thought\n<channel|>' -}}
|
| 386 |
{%- endif -%}
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-
{%- elif ns.prev_message_type == 'tool_response' and enable_thinking -%}
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-
{{- '<|channel>thought\n' -}}
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{%- endif -%}
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-
{%- endif -%}
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{%- macro format_parameters(properties, required, filter_keys=false) -%}
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{%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
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{%- set ns = namespace(found_first=false) -%}
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}
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{%- endmacro -%}
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{%- macro format_argument(argument, escape_keys=True) -%}
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{%- if argument is string -%}
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{{- '<|"|>' + argument + '<|"|>' -}}
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{%- elif argument is boolean -%}
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{{- 'true' if argument else 'false' -}}
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{{- '<tool_response|>' -}}
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{%- endmacro -%}
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{%- set ns = namespace(prev_message_type=None) -%}
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{%- set loop_messages = messages -%}
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{{- bos_token -}}
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{#- Handle System/Tool Definitions Block -#}
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{%- if (enable_thinking is defined and enable_thinking) or tools or messages[0]['role'] in ['system', 'developer'] -%}
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| 180 |
{{- '<|turn>system\n' -}}
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{#- Inject Thinking token at the very top of the FIRST system turn -#}
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+
{%- if enable_thinking is defined and enable_thinking -%}
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{{- '<|think|>\n' -}}
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{%- set ns.prev_message_type = 'think' -%}
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{%- endif -%}
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{%- if messages[0]['role'] in ['system', 'developer'] -%}
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{%- if messages[0]['content'] is string -%}
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{{- messages[0]['content'] | trim -}}
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{%- elif messages[0]['content'] is sequence -%}
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{%- if message['role'] != 'tool' -%}
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{%- set ns.prev_message_type = None -%}
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{%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
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{#- Detect continuation: suppress duplicate <|turn>model when previous non-tool message was also assistant -#}
|
| 221 |
+
{%- set prev_nt = namespace(role=None, found=false) -%}
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| 222 |
+
{%- if loop.index0 > 0 -%}
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| 223 |
+
{%- for j in range(loop.index0 - 1, -1, -1) -%}
|
| 224 |
+
{%- if not prev_nt.found -%}
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| 225 |
+
{%- if loop_messages[j]['role'] != 'tool' -%}
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| 226 |
+
{%- set prev_nt.role = loop_messages[j]['role'] -%}
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| 227 |
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{%- set prev_nt.found = true -%}
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| 228 |
+
{%- endif -%}
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+
{%- endif -%}
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{%- endfor -%}
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+
{%- endif -%}
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{%- set continue_same_model_turn = (role == 'model' and prev_nt.role == 'assistant') -%}
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| 233 |
{%- if not continue_same_model_turn -%}
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{{- '<|turn>' + role + '\n' }}
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| 235 |
{%- endif -%}
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| 237 |
{#- Render reasoning/reasoning_content as thinking channel -#}
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{%- set thinking_text = message.get('reasoning') or message.get('reasoning_content') -%}
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| 239 |
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{%- if thinking_text and loop.index0 > ns_turn.last_user_idx and message.get('tool_calls') -%}
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| 240 |
{{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
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{%- endif -%}
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| 243 |
+
{%- if message['tool_calls'] -%}
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+
{%- for tool_call in message['tool_calls'] -%}
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{%- set function = tool_call['function'] -%}
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{{- '<|tool_call>call:' + function['name'] + '{' -}}
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| 247 |
{%- if function['arguments'] is mapping -%}
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| 251 |
{%- set ns_args.found_first = true -%}
|
| 252 |
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
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{%- endfor -%}
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+
{%- elif function['arguments'] is string -%}
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+
{{- function['arguments'] -}}
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{%- endif -%}
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{{- '}<tool_call|>' -}}
|
| 258 |
{%- endfor -%}
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| 262 |
{%- set ns_tr_out = namespace(flag=false) -%}
|
| 263 |
{%- if message.get('tool_responses') -%}
|
| 264 |
{#- Legacy: tool_responses embedded on the assistant message (Google/Gemma native) -#}
|
| 265 |
+
{%- for tool_response in message['tool_responses'] -%}
|
| 266 |
+
{{- format_tool_response_block(tool_response['name'] | default('unknown'), tool_response['response']) -}}
|
| 267 |
{%- set ns_tr_out.flag = true -%}
|
| 268 |
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 269 |
{%- endfor -%}
|
|
|
|
| 277 |
{%- else -%}
|
| 278 |
{%- set follow = loop_messages[k] -%}
|
| 279 |
{#- Resolve tool_call_id to function name -#}
|
| 280 |
+
{%- set ns_tname = namespace(name=follow.get('name') | default('unknown')) -%}
|
| 281 |
+
{%- for tc in message['tool_calls'] -%}
|
| 282 |
{%- if tc.get('id') == follow.get('tool_call_id') -%}
|
| 283 |
{%- set ns_tname.name = tc['function']['name'] -%}
|
| 284 |
{%- endif -%}
|
|
|
|
| 296 |
{%- endfor -%}
|
| 297 |
{{- format_tool_response_block(ns_tname.name, ns_txt.s) -}}
|
| 298 |
{%- for part in tool_body -%}
|
| 299 |
+
{%- if part.get('type') == 'image' -%}
|
| 300 |
{{- '<|image|>' -}}
|
| 301 |
+
{%- elif part.get('type') == 'audio' -%}
|
| 302 |
{{- '<|audio|>' -}}
|
| 303 |
{%- elif part.get('type') == 'video' -%}
|
| 304 |
{{- '<|video|>' -}}
|
|
|
|
| 314 |
{%- endif -%}
|
| 315 |
|
| 316 |
{%- set captured_content -%}
|
| 317 |
+
{%- if message['content'] is string -%}
|
| 318 |
{%- if role == 'model' -%}
|
| 319 |
{{- strip_thinking(message['content']) -}}
|
| 320 |
{%- else -%}
|
| 321 |
{{- message['content'] | trim -}}
|
| 322 |
{%- endif -%}
|
| 323 |
+
{%- elif message['content'] is sequence -%}
|
| 324 |
{%- for item in message['content'] -%}
|
| 325 |
+
{%- if item['type'] == 'text' -%}
|
| 326 |
{%- if role == 'model' -%}
|
| 327 |
{{- strip_thinking(item['text']) -}}
|
| 328 |
{%- else -%}
|
| 329 |
{{- item['text'] | trim -}}
|
| 330 |
{%- endif -%}
|
| 331 |
+
{%- elif item['type'] == 'image' -%}
|
| 332 |
{{- '<|image|>' -}}
|
| 333 |
+
{%- set ns.prev_message_type = 'image' -%}
|
| 334 |
+
{%- elif item['type'] == 'audio' -%}
|
| 335 |
{{- '<|audio|>' -}}
|
| 336 |
+
{%- set ns.prev_message_type = 'audio' -%}
|
| 337 |
+
{%- elif item['type'] == 'video' -%}
|
| 338 |
{{- '<|video|>' -}}
|
| 339 |
+
{%- set ns.prev_message_type = 'video' -%}
|
| 340 |
{%- endif -%}
|
| 341 |
{%- endfor -%}
|
| 342 |
{%- endif -%}
|
|
|
|
| 345 |
{{- captured_content -}}
|
| 346 |
{%- set has_content = captured_content | trim | length > 0 -%}
|
| 347 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 348 |
{%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
|
| 349 |
{{- '<|tool_response>' -}}
|
| 350 |
+
{%- elif not (ns_tr_out.flag and not has_content) -%}
|
|
|
|
| 351 |
{{- '<turn|>\n' -}}
|
| 352 |
{%- endif -%}
|
|
|
|
|
|
|
|
|
|
| 353 |
{%- endif -%}
|
| 354 |
{%- endfor -%}
|
| 355 |
|
| 356 |
{%- if add_generation_prompt -%}
|
| 357 |
{%- if ns.prev_message_type != 'tool_response' and ns.prev_message_type != 'tool_call' -%}
|
| 358 |
{{- '<|turn>model\n' -}}
|
| 359 |
+
{%- if not enable_thinking | default(false) -%}
|
| 360 |
{{- '<|channel>thought\n<channel|>' -}}
|
| 361 |
{%- endif -%}
|
|
|
|
|
|
|
| 362 |
{%- endif -%}
|
| 363 |
+
{%- endif -%}
|
config.json
CHANGED
|
@@ -106,7 +106,7 @@
|
|
| 106 |
"sliding_attention",
|
| 107 |
"full_attention"
|
| 108 |
],
|
| 109 |
-
"max_position_embeddings":
|
| 110 |
"model_type": "gemma4_unified_text",
|
| 111 |
"moe_intermediate_size": null,
|
| 112 |
"num_attention_heads": 16,
|
|
|
|
| 106 |
"sliding_attention",
|
| 107 |
"full_attention"
|
| 108 |
],
|
| 109 |
+
"max_position_embeddings": 131072,
|
| 110 |
"model_type": "gemma4_unified_text",
|
| 111 |
"moe_intermediate_size": null,
|
| 112 |
"num_attention_heads": 16,
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 23919549408
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:366b79fc7e2ea81106d45e2b3ca10e144925f93dd9d456396692825ddb7bb788
|
| 3 |
size 23919549408
|