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LICENSE

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+                               NB-License
+                         Version 1.0, June 2026
+                        https://ai.nb.no/license/
+
+This license (henceforth: NB-license) establishes terms and conditions for use
+of Borealis models with the following copyright notice: Borealis Copyright 2026
+Nasjonalbiblioteket.
+
+This model is a fine-tuned derivative of Gemma 3, licensed under the Gemma Terms
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LICENSE_FAQ.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4a87118b0b0c1e2d5a06b27bb4b56517d4d62b2b74860f77b8ac2d601224840
+size 140945

README.md

@@ -0,0 +1,147 @@
+---
+license: other
+license_name: nb-license-1.0
+license_link: https://huggingface.co/NbAiLab/borealis2-e2b-preview/blob/main/LICENSE
+datasets:
+- NbAiLab/aurora-sft-2606
+language:
+- no
+- nb
+- nn
+- en
+base_model:
+- NbAiLab/nb-gpt-gemma4-e2b-instruct-aurora-2604-pre
+pipeline_tag: image-text-to-text
+library_name: transformers
+tags:
+- conversational
+- instruct
+- experimental
+---
+
+# Borealis 2 E2B (Preview)
+
+Release: September 28th, 2026.
+
+## Model summary
+
+**NbAiLab/borealis2-e2b-preview** is a 2B-parameter instruction-tuned preview model intended for early testing and feedback. It is an experiment and should be treated as pre-release quality.
+
+The model starts from [NbAiLab/nb-gpt-gemma4-e2b-instruct-aurora-2604-pre](https://huggingface.co/NbAiLab/nb-gpt-gemma4-e2b-instruct-aurora-2604-pre), continued pre-trained on Aurora 2604 data, and then supervised fine-tuned for three epochs on textual instructions from [NbAiLab/aurora-sft-2606](https://huggingface.co/datasets/NbAiLab/aurora-sft-2606). SFT loss is calculated on assistant responses only.
+
+## Training data
+
+Continuous pre-training uses `aurora`, a mix of sources both internal and external, including license materials under agreements. Supervised fine-tuning (SFT) uses **NbAiLab/aurora-sft-2606**. Examples use the Gemma 4 chat template; user and system tokens are masked from the training loss.
+
+The `aurora` dataset finished building in April 2026 and contained a total of 47B whitespace-separated words with a knowledge cutoff of January 1st 2025.
+
+<details>
+<summary>Sources</summary>
+  
+### Word counts
+
+| Source\\Language | **Total** | nob | nno | dan | swe | eng | fao | isl | sme | non | fin | smn | sma | smj | sms | fkv | sju | other |
+| :--- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
+| **Total** | **47,588,939,435** | **24,310,675,244** | **11,121,117,598** | **4,635,647,954** | **2,466,930,277** | **2,418,581,785** | **1,534,499,832** | **618,403,302** | **136,625,254** | **130,821,960** | **115,529,546** | **26,099,190** | **25,054,850** | **19,392,470** | **11,725,220** | **10,308,610** | **42,900** | **7,483,443** |
+| **hplt-3.0** | **15,020,676,845** | 7,387,980,881 | 1,650,457,860 | 3,406,653,847 | 1,945,721,769 | 241 | 386,912,020 | 161,832,408 | 509,882 | 39,453,060 | 37,167,967 | 633,100 | 46,480 | 152,950 | 15,170 | 3,139,210 | - | - |
+| **fineweb-2** | **14,616,279,115** | 9,586,371,459 | 3,739,975,210 | - | - | 91 | 814,239,570 | 273,740,521 | 52,936,570 | 47,996,140 | 62,367,474 | 11,890,230 | 9,333,600 | 5,615,090 | 6,946,090 | 4,826,690 | 40,380 | - |
+| **nb-newspapers-mbl** | **6,403,459,654** | 3,222,919,898 | 3,179,351,370 | 36,981 | 12,848 | 205,425 | - | 539 | 76,101 | 1,090 | 102 | - | 551,030 | 27,710 | - | 276,560 | - | - |
+| **finepdfs** | **5,885,083,486** | 3,031,393,119 | 1,161,632,350 | 757,427,249 | 416,681,332 | 3,914 | 280,421,310 | 181,277,900 | 16,222,925 | 13,795,380 | 15,306,017 | 2,480,840 | 1,423,800 | 4,614,610 | 2,057,710 | 345,030 | - | - |
+| **maalfrid-crawl** | **994,747,286** | 492,399,964 | 482,117,030 | 565,919 | 39,357 | 9,450,493 | - | - | 5,264,213 | 188,860 | - | - | 2,787,440 | 1,902,390 | - | 31,620 | - | - |
+| **swallow-code-v2** | **848,043,875** | 42,982 | 12,429 | 16,500,328 | 429,047 | 827,993,226 | 2,432 | 10,507 | 424 | - | 76,313 | - | - | - | - | - | - | 2,976,187 |
+| **nb-books-ocr** | **817,147,445** | 220,740,790 | 459,992,080 | 96,760,244 | 448,854 | 1,267,865 | 601,140 | - | 7,256,662 | 29,052,580 | - | - | 714,070 | 313,160 | - | - | - | - |
+| **megamath** | **795,092,965** | 3,201 | 6,419 | 858,060 | 201,115 | 789,418,493 | - | - | 12,292 | - | 86,129 | - | - | - | - | - | - | 4,507,256 |
+| **fineweb-2-hq** | **439,744,102** | 66 | - | 344,871,624 | 94,872,412 | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| **finewiki** | **425,260,298** | 83,273,602 | 210,355,610 | 11,313,266 | 8,520,965 | 97,669,581 | 8,341,750 | 1,526,141 | 206,149 | 45,590 | 525,544 | 3,482,100 | - | - | - | - | - | - |
+| **maalfrid-government** | **382,884,652** | 175,367,608 | 204,521,790 | 158,061 | 1,319 | 602,180 | - | 1,486 | 1,204,748 | - | - | - | 453,730 | 236,870 | - | 336,860 | - | - |
+| **fineweb-edu** | **358,894,808** | - | - | - | - | 358,807,998 | - | - | - | 86,810 | - | - | - | - | - | - | - | - |
+| **fineweb-hq** | **290,431,291** | 1,036 | - | - | 228 | 290,244,437 | - | - | - | 185,590 | - | - | - | - | - | - | - | - |
+| **giellalt** | **112,384,962** | 3,616,964 | 2,479,390 | 20,829 | 1,031 | - | 43,981,610 | 13,800 | 34,305,758 | 16,860 | - | 7,612,920 | 9,744,700 | 6,529,690 | 2,706,250 | 1,352,640 | 2,520 | - |
+| **parlamint** | **69,692,697** | 69,256,627 | 436,070 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| **kudos** | **59,909,727** | 31,938,952 | 27,698,540 | - | - | 191,476 | - | - | 80,759 | - | - | - | - | - | - | - | - | - |
+| **project-gutenberg** | **42,718,920** | - | - | - | - | 42,718,920 | - | - | - | - | - | - | - | - | - | - | - | - |
+| **saami-web** | **18,548,893** | - | - | - | - | 122 | - | - | 18,548,771 | - | - | - | - | - | - | - | - | - |
+| **lovdata** | **5,748,677** | 3,702,797 | 2,045,880 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| **patents** | **1,132,943** | 1,132,671 | - | 272 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| **nb-digimanus** | **1,056,794** | 532,627 | 35,570 | 481,274 | - | 7,323 | - | - | - | - | - | - | - | - | - | - | - | - |
+
+
+
+### Before upsampling
+
+| Source\\Language | **Total** | nob | dan | swe | eng | nno | isl | fao | fin | sme | non | smn | sma | smj | sms | fkv | sju | other |
+| :--- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
+| **Total** | **35,903,335,353** | **24,310,675,244** | **4,635,647,954** | **2,466,930,277** | **2,418,581,785** | **1,112,128,723** | **618,403,302** | **153,452,172** | **115,529,546** | **42,158,387** | **13,082,196** | **2,609,919** | **2,505,485** | **1,939,247** | **1,172,522** | **1,030,861** | **4,290** | **7,483,443** |
+| **hplt-3.0** | **13,147,596,474** | 7,387,980,881 | 3,406,653,847 | 1,945,721,769 | 241 | 165,045,786 | 161,832,408 | 38,691,202 | 37,167,967 | 158,376 | 3,945,306 | 63,310 | 4,648 | 15,295 | 1,517 | 313,921 | - | - |
+| **fineweb-2** | **10,402,853,593** | 9,586,371,459 | - | - | 91 | 373,997,521 | 273,740,521 | 81,423,957 | 62,367,474 | 16,287,748 | 4,799,614 | 1,189,023 | 933,360 | 561,509 | 694,609 | 482,669 | 4,038 | - |
+| **finepdfs** | **4,553,779,407** | 3,031,393,119 | 757,427,249 | 416,681,332 | 3,914 | 116,163,235 | 181,277,900 | 28,042,131 | 15,306,017 | 5,012,773 | 1,379,538 | 248,084 | 142,380 | 461,461 | 205,771 | 34,503 | - | - |
+| **nb-newspapers-mbl** | **3,541,220,733** | 3,222,919,898 | 36,981 | 12,848 | 205,425 | 317,935,137 | 539 | - | 102 | 24,164 | 109 | - | 55,103 | 2,771 | - | 27,656 | - | - |
+| **swallow-code-v2** | **848,043,875** | 42,982 | 16,500,328 | 429,047 | 827,993,226 | 12,429 | 10,507 | 2,432 | 76,313 | 424 | - | - | - | - | - | - | - | 2,976,187 |
+| **megamath** | **795,092,965** | 3,201 | 858,060 | 201,115 | 789,418,493 | 6,419 | - | - | 86,129 | 12,292 | - | - | - | - | - | - | - | 4,507,256 |
+| **maalfrid-crawl** | **552,781,457** | 492,399,964 | 565,919 | 39,357 | 9,450,493 | 48,211,703 | - | - | - | 1,622,990 | 18,886 | - | 278,744 | 190,239 | - | 3,162 | - | - |
+| **fineweb-2-hq** | **439,744,102** | 66 | 344,871,624 | 94,872,412 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| **nb-books-ocr** | **370,533,410** | 220,740,790 | 96,760,244 | 448,854 | 1,267,865 | 45,999,208 | - | 60,114 | - | 2,248,354 | 2,905,258 | - | 71,407 | 31,316 | - | - | - | - |
+| **fineweb-edu** | **358,816,679** | - | - | - | 358,807,998 | - | - | - | - | - | 8,681 | - | - | - | - | - | - | - |
+| **fineweb-hq** | **290,264,260** | 1,036 | - | 228 | 290,244,437 | - | - | - | - | - | 18,559 | - | - | - | - | - | - | - |
+| **finewiki** | **225,114,542** | 83,273,602 | 11,313,266 | 8,520,965 | 97,669,581 | 21,035,561 | 1,526,141 | 834,175 | 525,544 | 62,938 | 4,559 | 348,210 | - | - | - | - | - | - |
+| **maalfrid-government** | **197,068,531** | 175,367,608 | 158,061 | 1,319 | 602,180 | 20,452,179 | 1,486 | - | - | 382,952 | - | - | 45,373 | 23,687 | - | 33,686 | - | - |
+| **parlamint** | **69,300,234** | 69,256,627 | - | - | - | 43,607 | - | - | - | - | - | - | - | - | - | - | - | - |
+| **project-gutenberg** | **42,718,920** | - | - | - | 42,718,920 | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| **kudos** | **34,922,645** | 31,938,952 | - | - | 191,476 | 2,769,854 | - | - | - | 22,363 | - | - | - | - | - | - | - | - |
+| **giellalt** | **21,681,541** | 3,616,964 | 20,829 | 1,031 | - | 247,939 | 13,800 | 4,398,161 | - | 10,586,259 | 1,686 | 761,292 | 974,470 | 652,969 | 270,625 | 135,264 | 252 | - |
+| **saami-web** | **5,736,876** | - | - | - | 122 | - | - | - | - | 5,736,754 | - | - | - | - | - | - | - | - |
+| **lovdata** | **3,907,385** | 3,702,797 | - | - | - | 204,588 | - | - | - | - | - | - | - | - | - | - | - | - |
+| **patents** | **1,132,943** | 1,132,671 | 272 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| **nb-digimanus** | **1,024,781** | 532,627 | 481,274 | - | 7,323 | 3,557 | - | - | - | - | - | - | - | - | - | - | - | - |
+
+
+</details>
+
+
+## ⚠️ Safety / alignment disclaimer (important)
+
+This is a preview experiment and has not been completely safety-aligned. The model may produce harmful, biased, or insensitive content, including content that is offensive, unsafe, or inappropriate. Do not use it for safety-critical or high-stakes applications, and add your own safety mitigations if deploying.
+
+## Intended use
+
+- Norwegian-centric assistant-style tasks, including drafting, summarization, Q&A, and light reasoning.
+- Assessment of Norwegian writing style and quality.
+- Early evaluation of behaviour, language coverage (Norwegian, Bokmål, Nynorsk, and English), and quality.
+
+## Limitations
+
+- Preview quality; outputs may be unstable and may hallucinate.
+- Not safety-aligned; the model may follow harmful instructions or generate problematic content.
+- This release is an early SFT checkpoint, not a final production model.
+
+## Weights & formats
+
+### Transformers (original)
+
+- **NbAiLab/borealis2-e2b-preview** (safetensors).
+
+## License
+
+The license of this model is an adaptation of the Apache 2.0 license with additional use-based restrictions. In particular, users of the model are required to refrain from intentionally using the model to recreate data the model has been trained on. The license also requires users not to use the model or its output to provide end-user services whose primary purpose is to give access to licensed press publications in the training data.
+
+For more information, see the [LICENSE](./LICENSE) and the [License FAQ](./LICENSE_FAQ.pdf).
+
+## Weights
+
+This repository contains the Transformers (safetensors) release of **NbAiLab/borealis2-e2b-preview**.
+
+Companion formats:
+- GGUF: [NbAiLab/borealis2-e2b-preview-gguf](https://huggingface.co/NbAiLab/borealis2-e2b-preview-gguf)
+
+## Acknowledgements
+
+Thanks to the Gemma team at Google and to everyone contributing feedback on this preview.
+
+## Disclaimer
+
+These models may have bias and/or any other undesirable distortions. When third parties, deploy or provide systems and/or services to other parties using any of these models (or using systems based on these models) or become users of the models, they should note that it is their responsibility to mitigate the risks arising from their use and, in any event, to comply with applicable regulations, including regulations regarding the use of artificial intelligence. In no event shall the owner of the models (The National Library of Norway) be liable for any results arising from the use made by third parties of these models.
+
+## Contact
+
+For feedback, technical concerns, or collaboration inquiries, please contact <a rel="noopener nofollow" href="mailto:ailab@nb.no">ailab@nb.no</a>.
+

chat_template.jinja

@@ -0,0 +1,386 @@
+{#
+  Template: Google Gemma 4 Canonical Chat Template
+  Author: Google Gemma Engineering Team
+  Published: 2026-07-09
+  Context: Fixed tool-calling loops, turn closures, and thinking content-ordering.
+#}
+{%- macro format_parameters(properties, required, filter_keys=false) -%}
+    {%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
+    {%- set ns = namespace(found_first=false) -%}
+    {%- for key, value in properties | dictsort -%}
+        {%- set add_comma = false -%}
+        {%- if not filter_keys or key not in standard_keys -%}
+            {%- if ns.found_first %},{% endif -%}
+            {%- set ns.found_first = true -%}
+            {{ key }}:{
+            {%- if value['description'] -%}
+                description:<|"|>{{ value['description'] }}<|"|>
+                {%- set add_comma = true -%}
+            {%- endif -%}
+            {%- if value['type'] | upper == 'STRING' -%}
+                {%- if value['enum'] -%}
+                    {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
+                    enum:{{ format_argument(value['enum']) }}
+                {%- endif -%}
+            {%- elif value['type'] | upper == 'ARRAY' -%}
+                {%- if value['items'] is mapping and value['items'] -%}
+                    {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
+                    items:{
+                    {%- set ns_items = namespace(found_first=false) -%}
+                    {%- for item_key, item_value in value['items'] | dictsort -%}
+                        {%- if item_value is not none -%}
+                            {%- if ns_items.found_first %},{% endif -%}
+                            {%- set ns_items.found_first = true -%}
+                            {%- if item_key == 'properties' -%}
+                                properties:{
+                                {%- if item_value is mapping -%}
+                                    {{- format_parameters(item_value, value['items']['required'] | default([])) -}}
+                                {%- endif -%}
+                                }
+                            {%- elif item_key == 'required' -%}
+                                required:[
+                                {%- for req_item in item_value -%}
+                                    <|"|>{{- req_item -}}<|"|>
+                                    {%- if not loop.last %},{% endif -%}
+                                {%- endfor -%}
+                                ]
+                            {%- elif item_key == 'type' -%}
+                                {%- if item_value is string -%}
+                                    type:{{ format_argument(item_value | upper) }}
+                                {%- else -%}
+                                    type:{{ format_argument(item_value | map('upper') | list) }}
+                                {%- endif -%}
+                            {%- else -%}
+                                {{ item_key }}:{{ format_argument(item_value) }}
+                            {%- endif -%}
+                        {%- endif -%}
+                    {%- endfor -%}
+                    }
+                {%- endif -%}
+            {%- endif -%}
+            {%- if value['nullable'] %}
+                {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
+                nullable:true
+            {%- endif -%}
+            {%- if value['type'] | upper == 'OBJECT' -%}
+                {%- if value['properties'] is defined and value['properties'] is mapping -%}
+                    {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
+                    properties:{
+                    {{- format_parameters(value['properties'], value['required'] | default([])) -}}
+                    }
+                {%- elif value is mapping -%}
+                    {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
+                    properties:{
+                    {{- format_parameters(value, value['required'] | default([]), filter_keys=true) -}}
+                    }
+                {%- endif -%}
+                {%- if value['required'] -%}
+                    {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
+                    required:[
+                    {%- for item in value['required'] | default([]) -%}
+                        <|"|>{{- item -}}<|"|>
+                        {%- if not loop.last %},{% endif -%}
+                    {%- endfor -%}
+                    ]
+                {%- endif -%}
+            {%- endif -%}
+            {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
+            type:<|"|>{{ value['type'] | upper }}<|"|>}
+        {%- endif -%}
+    {%- endfor -%}
+{%- endmacro -%}
+{%- macro format_function_declaration(tool_data) -%}
+    declaration:{{- tool_data['function']['name'] -}}{description:<|"|>{{- tool_data['function']['description'] -}}<|"|>
+    {%- set params = tool_data['function']['parameters'] -%}
+    {%- if params -%}
+        ,parameters:{
+        {%- if params['properties'] -%}
+            properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
+        {%- endif -%}
+        {%- if params['required'] -%}
+            required:[
+            {%- for item in params['required'] -%}
+                <|"|>{{- item -}}<|"|>
+                {{- ',' if not loop.last -}}
+            {%- endfor -%}
+            ],
+        {%- endif -%}
+        {%- if params['type'] -%}
+            type:<|"|>{{- params['type'] | upper -}}<|"|>}
+        {%- endif -%}
+    {%- endif -%}
+    {%- if 'response' in tool_data['function'] -%}
+        {%- set response_declaration = tool_data['function']['response'] -%}
+        ,response:{
+        {%- if response_declaration['description'] -%}
+            description:<|"|>{{- response_declaration['description'] -}}<|"|>,
+        {%- endif -%}
+        {%- if response_declaration['type'] | upper == 'OBJECT' -%}
+            type:<|"|>{{- response_declaration['type'] | upper -}}<|"|>}
+        {%- endif -%}
+    {%- endif -%}
+    }
+{%- endmacro -%}
+{%- macro format_argument(argument, escape_keys=True) -%}
+    {%- if argument is none -%}
+        {{- 'null' -}}
+    {%- elif argument is string -%}
+        {{- '<|"|>' + argument + '<|"|>' -}}
+    {%- elif argument is boolean -%}
+        {{- 'true' if argument else 'false' -}}
+    {%- elif argument is mapping -%}
+        {{- '{' -}}
+        {%- set ns = namespace(found_first=false) -%}
+        {%- for key, value in argument | dictsort -%}
+            {%- if ns.found_first %},{% endif -%}
+            {%- set ns.found_first = true -%}
+            {%- if escape_keys -%}
+                {{- '<|"|>' + key + '<|"|>' -}}
+            {%- else -%}
+                {{- key -}}
+            {%- endif -%}
+            :{{- format_argument(value, escape_keys=escape_keys) -}}
+        {%- endfor -%}
+        {{- '}' -}}
+    {%- elif argument is sequence -%}
+        {{- '[' -}}
+        {%- for item in argument -%}
+            {{- format_argument(item, escape_keys=escape_keys) -}}
+            {%- if not loop.last %},{% endif -%}
+        {%- endfor -%}
+        {{- ']' -}}
+    {%- else -%}
+        {{- argument -}}
+    {%- endif -%}
+{%- endmacro -%}
+{%- macro strip_thinking(text) -%}
+    {%- set ns = namespace(result='') -%}
+    {%- for part in text.split('<channel|>') -%}
+        {%- if '<|channel>' in part -%}
+            {%- set ns.result = ns.result + part.split('<|channel>')[0] -%}
+        {%- else -%}
+            {%- set ns.result = ns.result + part -%}
+        {%- endif -%}
+    {%- endfor -%}
+    {{- ns.result | trim -}}
+{%- endmacro -%}
+
+{%- macro format_tool_response_block(tool_name, response) -%}
+    {{- '<|tool_response>' -}}
+    {%- if response is mapping -%}
+        {{- 'response:' + tool_name + '{' -}}
+        {%- for key, value in response | dictsort -%}
+            {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
+            {%- if not loop.last %},{% endif -%}
+        {%- endfor -%}
+        {{- '}' -}}
+    {%- else -%}
+        {{- 'response:' + tool_name + '{value:' + format_argument(response, escape_keys=False) + '}' -}}
+    {%- endif -%}
+    {{- '<tool_response|>' -}}
+{%- endmacro -%}
+
+{#- ===== SETUP ===== -#}
+{%- set ns = namespace(prev_message_type=None, prev_non_tool_role=None) -%}
+{%- set loop_messages = messages -%}
+{%- set enable_thinking = enable_thinking | default(false) -%}
+{%- set preserve_thinking = preserve_thinking | default(false) -%}
+{{- bos_token -}}
+{#- Handle System/Tool Definitions Block -#}
+{%- if enable_thinking or tools or (messages and messages[0]['role'] in ['system', 'developer']) -%}
+    {{- '<|turn>system\n' -}}
+    {#- Inject Thinking token at the very top of the FIRST system turn -#}
+    {%- if enable_thinking -%}
+        {{- '<|think|>\n' -}}
+        {%- set ns.prev_message_type = 'think' -%}
+    {%- endif -%}
+    {%- if messages and messages[0]['role'] in ['system', 'developer'] -%}
+        {%- if messages[0]['content'] is string -%}
+            {{- messages[0]['content'] | trim -}}
+        {%- elif messages[0]['content'] is sequence -%}
+            {%- for item in messages[0]['content'] -%}
+                {{- item['text'] | trim + ' '-}}
+            {%- endfor -%}
+        {%- endif -%}
+        {%- set loop_messages = messages[1:] -%}
+    {%- endif -%}
+    {%- if tools -%}
+        {%- for tool in tools %}
+            {{- '<|tool>' -}}
+            {{- format_function_declaration(tool) | trim -}}
+            {{- '<tool|>' -}}
+        {%- endfor %}
+        {%- set ns.prev_message_type = 'tool' -%}
+    {%- endif -%}
+    {{- '<turn|>\n' -}}
+{%- endif %}
+
+{#- Pre-scan: find last user message index for reasoning guard -#}
+{%- set ns_turn = namespace(last_user_idx=-1) -%}
+{%- for i in range(loop_messages | length) -%}
+    {%- if loop_messages[i]['role'] == 'user' -%}
+        {%- set ns_turn.last_user_idx = i -%}
+    {%- endif -%}
+{%- endfor -%}
+
+{#- Loop through messages -#}
+{%- for message in loop_messages -%}
+    {%- if message['role'] != 'tool' -%}
+    {%- set ns.prev_message_type = None -%}
+    {%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
+    {#- Detect continuation using tracked state — O(1) instead of O(n) backward scan -#}
+    {%- set continue_same_model_turn = (role == 'model' and ns.prev_non_tool_role == 'assistant') -%}
+    {%- if not continue_same_model_turn -%}
+        {{- '<|turn>' + role + '\n' }}
+    {%- endif -%}
+
+    {#- Render reasoning/reasoning_content as thinking channel -#}
+    {%- set thinking_text = message.get('reasoning') or message.get('reasoning_content') -%}
+    {%- set thinking_gate = (loop.index0 > ns_turn.last_user_idx) or (preserve_thinking and message.get('tool_calls')) -%}
+    {%- if thinking_text and thinking_gate -%}
+        {{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
+    {%- endif -%}
+
+            {%- if message.get('tool_calls') -%}
+                {%- for tool_call in message.get('tool_calls') -%}
+                    {%- set function = tool_call['function'] -%}
+                    {{- '<|tool_call>call:' + function['name'] + '{' -}}
+                    {%- if function['arguments'] is mapping -%}
+                        {%- set ns_args = namespace(found_first=false) -%}
+                        {%- for key, value in function['arguments'] | dictsort -%}
+                            {%- if ns_args.found_first %},{% endif -%}
+                            {%- set ns_args.found_first = true -%}
+                            {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
+                        {%- endfor -%}
+                    {%- elif function['arguments'] is none -%}
+                    {%- else -%}
+                        {{- raise_exception(
+                            "chat_template: tool_calls[].function.arguments must be a "
+                            "JSON object (mapping), not a string. Deserialize arguments "
+                            "before passing to the template."
+                        ) -}}
+                    {%- endif -%}
+                    {{- '}<tool_call|>' -}}
+                {%- endfor -%}
+                {%- set ns.prev_message_type = 'tool_call' -%}
+            {%- endif -%}
+
+            {%- set ns_tr_out = namespace(flag=false) -%}
+            {%- if message.get('tool_responses') -%}
+                {#- Legacy: tool_responses embedded on the assistant message (Google/Gemma native) -#}
+                {%- for tool_response in message.get('tool_responses') -%}
+                    {{- format_tool_response_block(tool_response['name'] | default('unknown', true), tool_response['response']) -}}
+                    {%- set ns_tr_out.flag = true -%}
+                    {%- set ns.prev_message_type = 'tool_response' -%}
+                {%- endfor -%}
+            {%- elif message.get('tool_calls') -%}
+                {#- OpenAI Chat Completions: forward-scan consecutive role:tool messages -#}
+                {%- set ns_tool_scan = namespace(stopped=false) -%}
+                {%- for k in range(loop.index0 + 1, loop_messages | length) -%}
+                    {%- if ns_tool_scan.stopped -%}
+                    {%- elif loop_messages[k]['role'] != 'tool' -%}
+                        {%- set ns_tool_scan.stopped = true -%}
+                    {%- else -%}
+                        {%- set follow = loop_messages[k] -%}
+                        {#- Resolve tool_call_id to function name -#}
+                        {%- set ns_tname = namespace(name=follow.get('name') or 'unknown') -%}
+                        {%- for tc in message.get('tool_calls') -%}
+                            {%- if tc.get('id') == follow.get('tool_call_id') -%}
+                                {%- set ns_tname.name = tc['function']['name'] -%}
+                            {%- endif -%}
+                        {%- endfor -%}
+                        {#- Handle content as string or content-parts array -#}
+                        {%- set tool_body = follow.get('content') -%}
+                        {%- if tool_body is string -%}
+                            {{- format_tool_response_block(ns_tname.name, tool_body) -}}
+                        {%- elif tool_body is sequence and tool_body is not string -%}
+                            {%- set ns_txt = namespace(s='') -%}
+                            {%- for part in tool_body -%}
+                                {%- if part.get('type') == 'text' -%}
+                                    {%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}
+                                {%- endif -%}
+                            {%- endfor -%}
+                            {{- format_tool_response_block(ns_tname.name, ns_txt.s) -}}
+                            {%- for part in tool_body -%}
+                                {%- if part.get('type') in ['image', 'image_url'] -%}
+                                    {{- '<|image|>' -}}
+                                {%- elif part.get('type') in ['audio', 'input_audio'] -%}
+                                    {{- '<|audio|>' -}}
+                                {%- elif part.get('type') == 'video' -%}
+                                    {{- '<|video|>' -}}
+                                {%- endif -%}
+                            {%- endfor -%}
+                        {%- else -%}
+                            {{- format_tool_response_block(ns_tname.name, tool_body) -}}
+                        {%- endif -%}
+                        {%- set ns_tr_out.flag = true -%}
+                        {%- set ns.prev_message_type = 'tool_response' -%}
+                    {%- endif -%}
+                {%- endfor -%}
+            {%- endif -%}
+
+            {%- set captured_content -%}
+            {%- if message.get('content') is string -%}
+                {%- if role == 'model' -%}
+                    {{- strip_thinking(message['content']) -}}
+                {%- else -%}
+                    {{- message['content'] | trim -}}
+                {%- endif -%}
+            {%- elif message.get('content') is sequence -%}
+                {%- for item in message['content'] -%}
+                    {%- if item.get('type') == 'text' -%}
+                        {%- if role == 'model' -%}
+                            {{- strip_thinking(item['text']) -}}
+                        {%- else -%}
+                            {{- item['text'] | trim -}}
+                        {%- endif -%}
+                    {%- elif item.get('type') in ['image', 'image_url'] -%}
+                        {{- '<|image|>' -}}
+                    {%- elif item.get('type') in ['audio', 'input_audio'] -%}
+                        {{- '<|audio|>' -}}
+                    {%- elif item.get('type') == 'video' -%}
+                        {{- '<|video|>' -}}
+                    {%- endif -%}
+                {%- endfor -%}
+            {%- endif -%}
+            {%- endset -%}
+
+            {{- captured_content -}}
+            {%- set has_content = captured_content | trim | length > 0 -%}
+
+        {#- Forward-scan: find next non-tool message role for continuation detection -#}
+        {%- set next_nt = namespace(role=None, found=false) -%}
+        {%- for j in range(loop.index0 + 1, loop_messages | length) -%}
+            {%- if not next_nt.found -%}
+                {%- if loop_messages[j]['role'] != 'tool' -%}
+                    {%- set next_nt.role = loop_messages[j]['role'] -%}
+                    {%- set next_nt.found = true -%}
+                {%- endif -%}
+            {%- endif -%}
+        {%- endfor -%}
+
+        {%- set continues_into_next = (
+            role == 'model'
+            and next_nt.role == 'assistant'
+            and (not message.get('tool_calls') or ns_tr_out.flag)
+        ) -%}
+
+        {%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
+            {{- '<|tool_response>' -}}
+        {%- elif continues_into_next -%}
+        {%- elif not (ns_tr_out.flag and not has_content and not next_nt.found) -%}
+            {{- '<turn|>\n' -}}
+        {%- endif -%}
+
+    {#- Track previous non-tool role for next iteration (avoids O(n) backward scan) -#}
+    {%- set ns.prev_non_tool_role = message['role'] -%}
+    {%- endif -%}
+{%- endfor -%}
+
+{%- if add_generation_prompt -%}
+    {%- if ns.prev_message_type != 'tool_response' and ns.prev_message_type != 'tool_call' -%}
+        {{- '<|turn>model\n' -}}
+    {%- elif ns.prev_message_type == 'tool_response' and enable_thinking -%}
+        {{- '<|channel>thought\n' -}}
+    {%- endif -%}
+{%- endif -%}

config.json

@@ -0,0 +1,196 @@
+{
+  "architectures": [
+    "Gemma4ForConditionalGeneration"
+  ],
+  "attn_implementation": "sdpa",
+  "audio_config": {
+    "_name_or_path": "",
+    "architectures": null,
+    "attention_chunk_size": 12,
+    "attention_context_left": 13,
+    "attention_context_right": 0,
+    "attention_invalid_logits_value": -1000000000.0,
+    "attention_logit_cap": 50.0,
+    "chunk_size_feed_forward": 0,
+    "conv_kernel_size": 5,
+    "dtype": "bfloat16",
+    "gradient_clipping": 10000000000.0,
+    "hidden_act": "silu",
+    "hidden_size": 1024,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "initializer_range": 0.02,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "model_type": "gemma4_audio",
+    "num_attention_heads": 8,
+    "num_hidden_layers": 12,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_proj_dims": 1536,
+    "problem_type": null,
+    "residual_weight": 0.5,
+    "return_dict": true,
+    "rms_norm_eps": 1e-06,
+    "subsampling_conv_channels": [
+      128,
+      32
+    ],
+    "use_clipped_linears": true
+  },
+  "audio_token_id": 258881,
+  "boa_token_id": 256000,
+  "boi_token_id": 255999,
+  "dtype": "bfloat16",
+  "eoa_token_id": 258883,
+  "eoa_token_index": 258883,
+  "eoi_token_id": 258882,
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "image_token_id": 258880,
+  "initializer_range": 0.02,
+  "model_type": "gemma4",
+  "return_dict": false,
+  "text_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attention_k_eq_v": false,
+    "attn_implementation": "sdpa",
+    "bos_token_id": 2,
+    "dtype": "bfloat16",
+    "enable_moe_block": false,
+    "eos_token_id": 1,
+    "expert_intermediate_size": null,
+    "final_logit_softcapping": 30.0,
+    "global_head_dim": 512,
+    "head_dim": 256,
+    "hidden_activation": "gelu_pytorch_tanh",
+    "hidden_size": 1536,
+    "hidden_size_per_layer_input": 256,
+    "initializer_range": 0.02,
+    "intermediate_size": 6144,
+    "layer_types": [
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention"
+    ],
+    "max_position_embeddings": 131072,
+    "model_type": "gemma4_text",
+    "moe_intermediate_size": null,
+    "num_attention_heads": 8,
+    "num_experts": null,
+    "num_global_key_value_heads": null,
+    "num_hidden_layers": 35,
+    "num_key_value_heads": 1,
+    "num_kv_shared_layers": 20,
+    "pad_token_id": 0,
+    "return_dict": false,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+      "full_attention": {
+        "partial_rotary_factor": 0.25,
+        "rope_theta": 1000000.0,
+        "rope_type": "proportional"
+      },
+      "sliding_attention": {
+        "rope_theta": 10000.0,
+        "rope_type": "default"
+      }
+    },
+    "sliding_window": 512,
+    "tie_word_embeddings": true,
+    "top_k_experts": null,
+    "use_bidirectional_attention": null,
+    "use_cache": false,
+    "use_double_wide_mlp": true,
+    "vocab_size": 262144,
+    "vocab_size_per_layer_input": 262144
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.5.0",
+  "use_cache": false,
+  "video_token_id": 258884,
+  "vision_config": {
+    "_name_or_path": "",
+    "architectures": null,
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "chunk_size_feed_forward": 0,
+    "default_output_length": 280,
+    "dtype": "bfloat16",
+    "global_head_dim": 64,
+    "head_dim": 64,
+    "hidden_activation": "gelu_pytorch_tanh",
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "max_position_embeddings": 131072,
+    "model_type": "gemma4_vision",
+    "num_attention_heads": 12,
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+  "eoc_token": "<channel|>",
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+  "etr_token": "<tool_response|>",
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+        "content": "text",
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+        "content": "json",
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+  "std_token": "<|tool>",
+  "str_token": "<|tool_response>",
+  "think_token": "<|think|>",
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>"
+}