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.gitattributes

@@ -33,3 +33,4 @@ 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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -7,20 +7,23 @@ tags:
 - moe
 ---
 
-# ROME-30B-A3B (Coming Soon)
+# ROME-30B-A3B
 
-<a href="https://arxiv.org/pdf/2512.24873" target="_blank">
-  🔗 <strong>Technical Report</strong><br/>
-  <img alt="Paper" src="https://img.shields.io/badge/Paper-arXiv%3A2512.24873-red"/>
-</a>
+<p align="center">
+  <a href="https://arxiv.org/pdf/2512.24873" target="_blank">
+    <img src="https://img.shields.io/badge/Paper-arXiv%3A2512.24873-red" alt="Paper">
+  </a>
+  <img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="License">
+  <img src="https://img.shields.io/badge/Model%20Type-MoE-green" alt="Model Type">
+</p>
 
 
 ---
 
-## 📢 Note: Coming Soon!
 
-**ROME (ROME is Obviously an Agentic ModEl)** will be officially released soon. 
-The project is currently under final review and preparation. Model weights will be made publicly available shortly. Stay tuned!
+**ROME** (**R**OME is **O**bviously an **A**gentic **M**odEl) is an open-source **agentic model** incubated within the **ALE (Agentic Learning Ecosystem)**. 
+
+Rather than scaling performance purely by increasing parameter count, ROME achieves parameter-scale–crossing performance through full-stack infrastructure integration and advanced Reinforcement Learning optimization.
 
 <img src="https://rlhf.oss-cn-hangzhou.aliyuncs.com/iFLOW-ROME/performance.png" width="600"/>
 
@@ -29,11 +32,7 @@ The project is currently under final review and preparation. Model weights will
 
 
 
-## Highlights
-
-**ROME** is an open-source **agentic model** incubated within the **ALE (Agentic Learning Ecosystem)**.  
-
-Rather than scaling performance purely by increasing parameter count, ROME achieves parameter-scale–crossing agentic performance through full-stack infrastructure and RL algorithmic optimization.
+## 🚀 Highlights
 
 <img src="https://rlhf.oss-cn-hangzhou.aliyuncs.com/iFLOW-ROME/ALE.PNG" width="600"/>
 
@@ -74,7 +73,7 @@ Rather than scaling performance purely by increasing parameter count, ROME achie
 
 
 
-## Performance (Preview)
+## 📊 Performance (Preview)
 
 ### Terminal-Based Benchmarks
 
@@ -89,15 +88,9 @@ Rather than scaling performance purely by increasing parameter count, ROME achie
 
 ---
 
-## Best Practices
-
-*(Code examples and usage guidelines will be added after the model release.)*
-
----
-
 
 
-## Citation
+## 📜 Citation
 
 If you find our work useful, please consider citing:
 

added_tokens.json

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config.json

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+  "architectures": [
+    "Qwen3MoeForCausalLM"
+  ],
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+  "model_type": "qwen3_moe",
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+  "num_experts": 128,
+  "num_experts_per_tok": 8,
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+  "vocab_size": 151936
+}

generation_config.json

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special_tokens_map.json

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+  "chat_template": "{% macro render_extra_keys(json_dict, handled_keys) %}\n    {%- if json_dict is mapping %}\n        {%- for json_key in json_dict if json_key not in handled_keys %}\n            {%- if json_dict[json_key] is mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string) %}\n                {{- '\\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson | safe) ~ '</' ~ json_key ~ '>' }}\n            {%- else %}\n                {{-'\\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key ~ '>' }}\n            {%- endif %}\n        {%- endfor %}\n    {%- endif %}\n{% endmacro %}\n\n{%- if messages[0][\"role\"] == \"system\" %}\n    {%- set system_message = messages[0][\"content\"] %}\n    {%- set loop_messages = messages[1:] %}\n{%- else %}\n    {%- set loop_messages = messages %}\n{%- endif %}\n\n{%- if not tools is defined %}\n    {%- set tools = [] %}\n{%- endif %}\n\n{%- if system_message is defined %}\n    {{- 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user about function calls\\n</IMPORTANT>' }}\n{%- endif %}\n{%- if system_message is defined %}\n    {{- '<|im_end|>\\n' }}\n{%- else %}\n    {%- if tools is iterable and tools | length > 0 %}\n        {{- '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in loop_messages %}\n    {%- if message.role == \"assistant\" and message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content is defined and message.content is string and message.content | trim | length > 0 %}\n            {{- '\\n' + message.content | trim + '\\n' }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n            {%- if tool_call.arguments is defined %}\n                {%- for args_name, args_value in tool_call.arguments|items %}\n                    {{- '<parameter=' + args_name + '>\\n' }}\n                    {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}\n                    {{- args_value }}\n                    {{- '\\n</parameter>\\n' }}\n                {%- endfor %}\n            {%- endif %}\n            {{- '</function>\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"user\" or message.role == \"system\" or message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n            {{- '<|im_start|>user\\n' }}\n        {%- endif %}\n        {{- '<tool_response>\\n' }}\n        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+}