Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+checkpoint-231/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,69 @@
+---
+base_model: google/gemma-4-31B
+library_name: transformers
+model_name: Gemma-DPO
+tags:
+- generated_from_trainer
+- dpo
+- trl
+licence: license
+---
+
+# Model Card for Gemma-DPO
+
+This model is a fine-tuned version of [google/gemma-4-31B](https://huggingface.co/google/gemma-4-31B).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="None", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+ 
+
+
+
+This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
+
+### Framework versions
+
+- TRL: 1.5.1
+- Transformers: 5.10.2
+- Pytorch: 2.10.0+cu128
+- Datasets: 4.8.5
+- Tokenizers: 0.22.2
+
+## Citations
+
+Cite DPO as:
+
+```bibtex
+@inproceedings{rafailov2023direct,
+    title        = {{Direct Preference Optimization: Your Language Model is Secretly a Reward Model}},
+    author       = {Rafael Rafailov and Archit Sharma and Eric Mitchell and Christopher D. Manning and Stefano Ermon and Chelsea Finn},
+    year         = 2023,
+    booktitle    = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
+    url          = {http://papers.nips.cc/paper_files/paper/2023/hash/a85b405ed65c6477a4fe8302b5e06ce7-Abstract-Conference.html},
+    editor       = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
+}
+```
+
+Cite TRL as:
+    
+```bibtex
+@software{vonwerra2020trl,
+  title   = {{TRL: Transformers Reinforcement Learning}},
+  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
+  license = {Apache-2.0},
+  url     = {https://github.com/huggingface/trl},
+  year    = {2020}
+}
+```

adapter_config.json

@@ -0,0 +1,40 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/gemma-4-31B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.19.1",
+  "qalora_group_size": 16,
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "model.language_model.layers.[\\d]+.(_checkpoint_wrapped_module.)?(mlp|self_attn).(up|down|gate|q|k|v|o)_proj",
+  "target_parameters": [],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d21fd5aa236b65a3d9127ebe4f78eb0c20ba58d5e3a4c72c4256c19c298c4851
+size 979559584

chat_template.jinja

@@ -0,0 +1,363 @@
+{%- 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 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 -%}
+
+{%- set ns = namespace(prev_message_type=None) -%}
+{%- set loop_messages = messages -%}
+{{- bos_token -}}
+{#- Handle System/Tool Definitions Block -#}
+{%- if (enable_thinking is defined and enable_thinking) or tools or messages[0]['role'] in ['system', 'developer'] -%}
+    {{- '<|turn>system\n' -}}
+    {#- Inject Thinking token at the very top of the FIRST system turn -#}
+    {%- if enable_thinking is defined and enable_thinking -%}
+        {{- '<|think|>\n' -}}
+        {%- set ns.prev_message_type = 'think' -%}
+    {%- endif -%}
+    {%- if 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: suppress duplicate <|turn>model when previous non-tool message was also assistant -#}
+{%- set prev_nt = namespace(role=None, found=false) -%}
+{%- if loop.index0 > 0 -%}
+    {%- for j in range(loop.index0 - 1, -1, -1) -%}
+        {%- if not prev_nt.found -%}
+            {%- if loop_messages[j]['role'] != 'tool' -%}
+                {%- set prev_nt.role = loop_messages[j]['role'] -%}
+                {%- set prev_nt.found = true -%}
+            {%- endif -%}
+        {%- endif -%}
+    {%- endfor -%}
+{%- endif -%}
+{%- set continue_same_model_turn = (role == 'model' and prev_nt.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') -%}
+{%- if thinking_text and loop.index0 > ns_turn.last_user_idx and message.get('tool_calls') -%}
+    {{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
+{%- endif -%}
+
+{%- if message['tool_calls'] -%}
+    {%- for tool_call in message['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 string -%}
+            {{- function['arguments'] -}}
+        {%- 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['tool_responses'] -%}
+        {{- format_tool_response_block(tool_response['name'] | default('unknown'), 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') | default('unknown')) -%}
+            {%- for tc in message['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') == 'image' -%}
+                        {{- '<|image|>' -}}
+                    {%- elif part.get('type') == '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['content'] is string -%}
+    {%- if role == 'model' -%}
+        {{- strip_thinking(message['content']) -}}
+    {%- else -%}
+        {{- message['content'] | trim -}}
+    {%- endif -%}
+{%- elif message['content'] is sequence -%}
+    {%- for item in message['content'] -%}
+        {%- if item['type'] == 'text' -%}
+            {%- if role == 'model' -%}
+                {{- strip_thinking(item['text']) -}}
+            {%- else -%}
+                {{- item['text'] | trim -}}
+            {%- endif -%}
+        {%- elif item['type'] == 'image' -%}
+            {{- '<|image|>' -}}
+            {%- set ns.prev_message_type = 'image' -%}
+        {%- elif item['type'] == 'audio' -%}
+            {{- '<|audio|>' -}}
+            {%- set ns.prev_message_type = 'audio' -%}
+        {%- elif item['type'] == 'video' -%}
+            {{- '<|video|>' -}}
+            {%- set ns.prev_message_type = 'video' -%}
+        {%- endif -%}
+    {%- endfor -%}
+{%- endif -%}
+{%- endset -%}
+
+{{- captured_content -}}
+{%- set has_content = captured_content | trim | length > 0 -%}
+
+{%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
+    {{- '<|tool_response>' -}}
+{%- elif not (ns_tr_out.flag and not has_content) -%}
+    {{- '<turn|>\n' -}}
+{%- endif -%}
+{%- 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 | default(false) -%}
+            {{- '<|channel>thought\n<channel|>' -}}
+        {%- endif -%}
+    {%- endif -%}
+{%- endif -%}

checkpoint-231/README.md

@@ -0,0 +1,210 @@
+---
+base_model: google/gemma-4-31B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- axolotl
+- base_model:adapter:google/gemma-4-31B
+- dpo
+- lora
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1

checkpoint-231/adapter_config.json

@@ -0,0 +1,40 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/gemma-4-31B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.19.1",
+  "qalora_group_size": 16,
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "model.language_model.layers.[\\d]+.(_checkpoint_wrapped_module.)?(mlp|self_attn).(up|down|gate|q|k|v|o)_proj",
+  "target_parameters": [],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-231/adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d21fd5aa236b65a3d9127ebe4f78eb0c20ba58d5e3a4c72c4256c19c298c4851
+size 979559584

checkpoint-231/chat_template.jinja

@@ -0,0 +1,363 @@
+{%- 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 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 -%}
+
+{%- set ns = namespace(prev_message_type=None) -%}
+{%- set loop_messages = messages -%}
+{{- bos_token -}}
+{#- Handle System/Tool Definitions Block -#}
+{%- if (enable_thinking is defined and enable_thinking) or tools or messages[0]['role'] in ['system', 'developer'] -%}
+    {{- '<|turn>system\n' -}}
+    {#- Inject Thinking token at the very top of the FIRST system turn -#}
+    {%- if enable_thinking is defined and enable_thinking -%}
+        {{- '<|think|>\n' -}}
+        {%- set ns.prev_message_type = 'think' -%}
+    {%- endif -%}
+    {%- if 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: suppress duplicate <|turn>model when previous non-tool message was also assistant -#}
+{%- set prev_nt = namespace(role=None, found=false) -%}
+{%- if loop.index0 > 0 -%}
+    {%- for j in range(loop.index0 - 1, -1, -1) -%}
+        {%- if not prev_nt.found -%}
+            {%- if loop_messages[j]['role'] != 'tool' -%}
+                {%- set prev_nt.role = loop_messages[j]['role'] -%}
+                {%- set prev_nt.found = true -%}
+            {%- endif -%}
+        {%- endif -%}
+    {%- endfor -%}
+{%- endif -%}
+{%- set continue_same_model_turn = (role == 'model' and prev_nt.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') -%}
+{%- if thinking_text and loop.index0 > ns_turn.last_user_idx and message.get('tool_calls') -%}
+    {{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
+{%- endif -%}
+
+{%- if message['tool_calls'] -%}
+    {%- for tool_call in message['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 string -%}
+            {{- function['arguments'] -}}
+        {%- 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['tool_responses'] -%}
+        {{- format_tool_response_block(tool_response['name'] | default('unknown'), 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') | default('unknown')) -%}
+            {%- for tc in message['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') == 'image' -%}
+                        {{- '<|image|>' -}}
+                    {%- elif part.get('type') == '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['content'] is string -%}
+    {%- if role == 'model' -%}
+        {{- strip_thinking(message['content']) -}}
+    {%- else -%}
+        {{- message['content'] | trim -}}
+    {%- endif -%}
+{%- elif message['content'] is sequence -%}
+    {%- for item in message['content'] -%}
+        {%- if item['type'] == 'text' -%}
+            {%- if role == 'model' -%}
+                {{- strip_thinking(item['text']) -}}
+            {%- else -%}
+                {{- item['text'] | trim -}}
+            {%- endif -%}
+        {%- elif item['type'] == 'image' -%}
+            {{- '<|image|>' -}}
+            {%- set ns.prev_message_type = 'image' -%}
+        {%- elif item['type'] == 'audio' -%}
+            {{- '<|audio|>' -}}
+            {%- set ns.prev_message_type = 'audio' -%}
+        {%- elif item['type'] == 'video' -%}
+            {{- '<|video|>' -}}
+            {%- set ns.prev_message_type = 'video' -%}
+        {%- endif -%}
+    {%- endfor -%}
+{%- endif -%}
+{%- endset -%}
+
+{{- captured_content -}}
+{%- set has_content = captured_content | trim | length > 0 -%}
+
+{%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
+    {{- '<|tool_response>' -}}
+{%- elif not (ns_tr_out.flag and not has_content) -%}
+    {{- '<turn|>\n' -}}
+{%- endif -%}
+{%- 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 | default(false) -%}
+            {{- '<|channel>thought\n<channel|>' -}}
+        {%- endif -%}
+    {%- endif -%}
+{%- endif -%}

checkpoint-231/optimizer.pt

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+oid sha256:00a39600a4f8e1861cf9e0e8c273dc2bd150e94137be260234b5d1542a18f3e3
+size 998218519

checkpoint-231/rng_state.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:61c19bab1174704a4a4441475683bf1270277af15d2e2c95e964789128e482c4
+size 14645

checkpoint-231/scheduler.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:14b02379a5c9e10b2de4c0cc69a69865c50a69f2f72c8b13d3f585089f19f80b
+size 3433

checkpoint-231/tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:12bac982b793c44b03d52a250a9f0d0b666813da566b910c24a6da0695fd11e6
+size 32170070

checkpoint-231/tokenizer_config.json

@@ -0,0 +1,55 @@
+{
+  "audio_token": "<|audio|>",
+  "backend": "tokenizers",
+  "boa_token": "<|audio>",
+  "boi_token": "<|image>",
+  "bos_token": "<bos>",
+  "eoa_token": "<audio|>",
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