Upload karpo-decision-31B

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,202 @@
+
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README.md

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+---
+license: apache-2.0
+library_name: transformers
+base_model: google/gemma-4-31B-it
+base_model_relation: finetune
+pipeline_tag: text-classification
+tags:
+  - decision-model
+  - decision-index
+  - gemma4
+model-index:
+  - name: karpo-decision-31B
+    results:
+      - task:
+          type: text-classification
+          name: typed decision (choice / noul / score)
+        dataset:
+          type: mixed
+          name: Decision Index 0.3 public suite (140,178 requests; the index averages 37 benchmarks)
+        metrics:
+          - type: decision_index
+            value: 75.07
+            name: Decision Index 0.3, public index (chance-corrected, self-reported)
+---
+
+# karpo-decision-31B
+
+karpo-decision-31B is a decision model. Given a state (a web page, a document, a conversation: any text or JSON) and
+one or more typed questions about it, it returns a probability for every option of every question, read out of a
+single forward pass instead of generated text. It is fine-tuned from
+[google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it) and adds a linear readout over the options.
+
+- **Base model:** [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it)
+- **Parameters:** 31.3B in bf16, plus a 255 × 5,376 readout in fp32
+- **Questions:** `choice` (pick one of up to 255 options), `noul` (true or false) and `score` (a level on a scale)
+- **Context:** 32,768 tokens per sequence; a longer request is split into parts of its questions, each with the full
+  state
+- **Licence:** Apache-2.0
+
+## Lineage
+
+[google/gemma-4-31B](https://huggingface.co/google/gemma-4-31B) → [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it)
+→ **karpo-decision-31B** (fine-tuned)
+
+## Use
+
+The inference code is [github.com/machinepulse-ai/karpo-decision](https://github.com/machinepulse-ai/karpo-decision)
+(Apache-2.0, Python 3.12+). It runs on one GPU: the weights take 62.5 GB, and long requests need more on top.
+
+```bash
+pip install "karpo-decision @ git+https://github.com/machinepulse-ai/karpo-decision"
+```
+
+```python
+from huggingface_hub import snapshot_download
+from karpo_decision.decider import Decider
+
+path = snapshot_download("MachinePulseAI/karpo-decision-31B")
+decider = Decider.from_pretrained(path, device="cuda")
+response = decider.decide({
+    "state": "Order 1182: the customer asks to return a blender bought 45 days ago. Policy: returns within 30 days.",
+    "questions": {
+        "eligible": {"type": "noul", "instructions": "Is the return eligible under the policy?"},
+        "action": {"type": "choice", "instructions": "What should the agent do?",
+                   "criteria": {"refund": "Issue a full refund", "decline": "Politely decline the return",
+                                "escalate": "Escalate to a supervisor"}},
+    },
+})
+print(response["answers"])
+# {"eligible": {"type": "noul", "noul": P(true)},
+#  "action": {"type": "choice", "choice": <key>, "probabilities": {<key>: p, ...}, "confidence": c}}
+```
+
+As an HTTP server (`POST /v1/systemone`, `GET /healthz`):
+
+```bash
+torchrun --standalone --nproc_per_node 1 -m karpo_decision.serve.server --checkpoint "$path" --port 18440
+```
+
+On the [Decision Index](https://github.com/apolinario/decision-index) kit (installed separately):
+
+```bash
+python -m decision_index run --engine karpo_decision.serve.engine:DecisionIndexEngine \
+    --option checkpoint="$path" --out runs/karpo-decision-31B
+```
+
+## Results
+
+Decision Index 0.3, public suite, run by us on the kit's suite and scored with the kit: 140,178 requests, 140,167
+answered and 11 unsupported (a question that did not fit in 32,768 tokens with its state), default reading
+(`view=joint`), torch 2.14.1, transformers 5.21.0.
+
+| | score |
+|---|---|
+| **Public index** (chance-corrected) | **75.07** |
+| Raw index | 80.91 |
+| Breadth | 74.72 |
+| Knowledge & Reasoning | 65.61 |
+| Language Understanding | 76.85 |
+| Retrieval & Classification | 76.35 |
+| Tools & Automation | 88.32 |
+| Arts & Human Taste | 68.10 |
+
+The leaderboard ranks models by the Full score, which its maintainers compute on private tests; we will add it here
+once it is published.
+
+## Limitations
+
+- The released inference code reads text only. The vision weights are in the checkpoint but unused.
+- It is not a chat or text-generation model: it was trained to answer through the readout, and generation was not
+  evaluated.
+- Probabilities use temperature 1.0 (`decision_config.json`); they are not calibrated after training.
+- A question that does not fit in 32,768 tokens together with the state is refused (`Unsupported`), never truncated.
+- It always picks among the given options; it abstains only when an option says so.
+
+## Licence
+
+The weights are released under the Apache License 2.0 ([`LICENSE`](LICENSE)), as is the inference code. They are a
+modified version of [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it), which Google releases under
+the [Apache License 2.0](https://ai.google.dev/gemma/docs/gemma_4_license): its decoder weights were fine-tuned and a
+readout was added.

chat_template.jinja

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+{#
+  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' -}}
+        {%- if not enable_thinking -%}
+            {{- '<|channel>thought\n<channel|>' -}}
+        {%- endif -%}
+    {%- elif ns.prev_message_type == 'tool_response' and enable_thinking -%}
+        {{- '<|channel>thought\n' -}}
+    {%- endif -%}
+{%- endif -%}

config.json

@@ -0,0 +1,201 @@
+{
+  "architectures": [
+    "Gemma4ForConditionalGeneration"
+  ],
+  "audio_config": null,
+  "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",
+  "text_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attention_k_eq_v": true,
+    "bos_token_id": 2,
+    "dtype": "bfloat16",
+    "enable_moe_block": false,
+    "eos_token_id": 1,
+    "expert_intermediate_size": null,
+    "final_logit_softcapping": 30.0,
+    "head_dim": 256,
+    "hidden_activation": "gelu_pytorch_tanh",
+    "hidden_size": 5376,
+    "hidden_size_per_layer_input": 0,
+    "initializer_range": 0.02,
+    "intermediate_size": 21504,
+    "layer_types": [
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention"
+    ],
+    "max_position_embeddings": 262144,
+    "model_type": "gemma4_text",
+    "moe_intermediate_size": null,
+    "num_attention_heads": 32,
+    "num_experts": null,
+    "num_hidden_layers": 60,
+    "num_key_value_heads": 16,
+    "num_kv_shared_layers": 0,
+    "pad_token_id": 0,
+    "per_layer_config": {
+      "05": {
+        "head_dim": 512,
+        "num_key_value_heads": 4
+      },
+      "11": {
+        "head_dim": 512,
+        "num_key_value_heads": 4
+      },
+      "17": {
+        "head_dim": 512,
+        "num_key_value_heads": 4
+      },
+      "23": {
+        "head_dim": 512,
+        "num_key_value_heads": 4
+      },
+      "29": {
+        "head_dim": 512,
+        "num_key_value_heads": 4
+      },
+      "35": {
+        "head_dim": 512,
+        "num_key_value_heads": 4
+      },
+      "41": {
+        "head_dim": 512,
+        "num_key_value_heads": 4
+      },
+      "47": {
+        "head_dim": 512,
+        "num_key_value_heads": 4
+      },
+      "53": {
+        "head_dim": 512,
+        "num_key_value_heads": 4
+      },
+      "59": {
+        "head_dim": 512,
+        "num_key_value_heads": 4
+      }
+    },
+    "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": 1024,
+    "tie_word_embeddings": true,
+    "top_k_experts": null,
+    "use_bidirectional_attention": "vision",
+    "use_cache": true,
+    "use_double_wide_mlp": false,
+    "vocab_size": 262144,
+    "vocab_size_per_layer_input": 262144
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.21.0",
+  "video_token_id": 258884,
+  "vision_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "default_output_length": 280,
+    "dtype": "bfloat16",
+    "global_head_dim": 72,
+    "head_dim": 72,
+    "hidden_activation": "gelu_pytorch_tanh",
+    "hidden_size": 1152,
+    "initializer_range": 0.02,
+    "intermediate_size": 4304,
+    "max_position_embeddings": 131072,
+    "model_type": "gemma4_vision",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 27,
+    "num_key_value_heads": 16,
+    "patch_size": 16,
+    "pooling_kernel_size": 3,
+    "position_embedding_size": 10240,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+      "rope_theta": 100.0,
+      "rope_type": "axial"
+    },
+    "standardize": true,
+    "use_clipped_linears": false
+  },
+  "vision_soft_tokens_per_image": 280
+}

decision_config.json

@@ -0,0 +1,529 @@
+{
+ "template": "karpo-blocks-v1",
+ "codes": [
+  "A",
+  "B",
+  "C",
+  "D",
+  "E",
+  "F",
+  "G",
+  "H",
+  "I",
+  "J",
+  "K",
+  "L",
+  "M",
+  "N",
+  "O",
+  "P",
+  "Q",
+  "R",
+  "S",
+  "T",
+  "U",
+  "V",
+  "W",
+  "X",
+  "Y",
+  "Z",
+  "AA",
+  "AB",
+  "AC",
+  "AD",
+  "AE",
+  "AF",
+  "AG",
+  "AH",
+  "AI",
+  "AJ",
+  "AK",
+  "AL",
+  "AM",
+  "AN",
+  "AO",
+  "AP",
+  "AQ",
+  "AR",
+  "AS",
+  "AT",
+  "AU",
+  "AV",
+  "AW",
+  "AX",
+  "AY",
+  "AZ",
+  "BA",
+  "BB",
+  "BC",
+  "BD",
+  "BE",
+  "BF",
+  "BG",
+  "BH",
+  "BI",
+  "BJ",
+  "BK",
+  "BL",
+  "BM",
+  "BN",
+  "BO",
+  "BP",
+  "BQ",
+  "BR",
+  "BS",
+  "BT",
+  "BU",
+  "BV",
+  "BW",
+  "BX",
+  "BY",
+  "BZ",
+  "CA",
+  "CB",
+  "CC",
+  "CD",
+  "CE",
+  "CF",
+  "CG",
+  "CH",
+  "CI",
+  "CJ",
+  "CK",
+  "CL",
+  "CM",
+  "CN",
+  "CO",
+  "CP",
+  "CQ",
+  "CR",
+  "CS",
+  "CT",
+  "CU",
+  "CV",
+  "CW",
+  "CX",
+  "CY",
+  "CZ",
+  "DA",
+  "DB",
+  "DC",
+  "DD",
+  "DE",
+  "DF",
+  "DG",
+  "DH",
+  "DI",
+  "DJ",
+  "DK",
+  "DL",
+  "DM",
+  "DN",
+  "DO",
+  "DP",
+  "DQ",
+  "DR",
+  "DS",
+  "DT",
+  "DU",
+  "DV",
+  "DW",
+  "DX",
+  "DY",
+  "DZ",
+  "EA",
+  "EB",
+  "EC",
+  "ED",
+  "EE",
+  "EF",
+  "EG",
+  "EH",
+  "EI",
+  "EJ",
+  "EK",
+  "EL",
+  "EM",
+  "EN",
+  "EO",
+  "EP",
+  "EQ",
+  "ER",
+  "ES",
+  "ET",
+  "EU",
+  "EV",
+  "EW",
+  "EX",
+  "EY",
+  "EZ",
+  "FA",
+  "FB",
+  "FC",
+  "FD",
+  "FE",
+  "FF",
+  "FG",
+  "FH",
+  "FI",
+  "FJ",
+  "FK",
+  "FL",
+  "FM",
+  "FN",
+  "FO",
+  "FP",
+  "FQ",
+  "FR",
+  "FS",
+  "FT",
+  "FU",
+  "FV",
+  "FW",
+  "FX",
+  "FY",
+  "FZ",
+  "GA",
+  "GB",
+  "GC",
+  "GD",
+  "GE",
+  "GF",
+  "GG",
+  "GH",
+  "GI",
+  "GJ",
+  "GK",
+  "GL",
+  "GM",
+  "GN",
+  "GO",
+  "GP",
+  "GQ",
+  "GR",
+  "GS",
+  "GT",
+  "GU",
+  "GV",
+  "GW",
+  "GX",
+  "GY",
+  "HA",
+  "HB",
+  "HC",
+  "HD",
+  "HE",
+  "HF",
+  "HG",
+  "HH",
+  "HI",
+  "HJ",
+  "HK",
+  "HL",
+  "HM",
+  "HN",
+  "HO",
+  "HP",
+  "HQ",
+  "HR",
+  "HS",
+  "HT",
+  "HU",
+  "HV",
+  "HW",
+  "HX",
+  "HY",
+  "HZ",
+  "IA",
+  "IB",
+  "IC",
+  "ID",
+  "IE",
+  "IF",
+  "IG",
+  "IH",
+  "II",
+  "IJ",
+  "IK",
+  "IL",
+  "IM",
+  "IN",
+  "IO",
+  "IP",
+  "IQ",
+  "IR",
+  "IS",
+  "IT",
+  "IU",
+  "IV"
+ ],
+ "token_ids": [
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