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Model: leonMW/Qwen3-4B-Thinking-2507-GSPO-Easy
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: Qwen/Qwen3-4B-Thinking-2507
+library_name: transformers
+model_name: Qwen3-4B-Thinking-2507-GSPO-Easy
+tags:
+- generated_from_trainer
+- trl
+- grpo
+licence: license
+---
+
+# Model Card for Qwen3-4B-Thinking-2507-GSPO-Easy
+
+This model is a fine-tuned version of [Qwen/Qwen3-4B-Thinking-2507](https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507).
+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="leonMW/Qwen3-4B-Thinking-2507-GSPO-Easy", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/leonwenderoth-tu-darmstadt/huggingface/runs/yk8iac6q) 
+
+
+This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
+
+### Framework versions
+
+- TRL: 0.23.1
+- Transformers: 4.57.1
+- Pytorch: 2.8.0
+- Datasets: 4.4.1
+- Tokenizers: 0.22.1
+
+## Citations
+
+Cite GRPO as:
+
+```bibtex
+@article{shao2024deepseekmath,
+    title        = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
+    author       = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
+    year         = 2024,
+    eprint       = {arXiv:2402.03300},
+}
+
+```
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

added_tokens.json

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+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

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+{%- if tools %}
+  {{- '<|im_start|>system\n' }}
+  {%- if messages[0].role == 'system' %}
+    {{- messages[0].content + '\n\n' }}
+  {%- endif %}
+  {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+  {%- for tool in tools %}
+    {{- "\n" }}
+    {{- tool | tojson }}
+  {%- endfor %}
+  {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+  {%- if messages[0].role == 'system' %}
+    {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+  {%- endif %}
+{%- endif %}
+
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+  {%- set index = (messages|length - 1) - loop.index0 %}
+  {%- if ns.multi_step_tool and message.role == "user"
+        and message.content is string
+        and not (message.content.startswith('<tool_response>')
+                 and message.content.endswith('</tool_response>')) %}
+    {%- set ns.multi_step_tool = false %}
+    {%- set ns.last_query_index = index %}
+  {%- endif %}
+{%- endfor %}
+
+{%- for message in messages %}
+  {%- if message.content is string %}
+    {%- set content = message.content %}
+  {%- else %}
+    {%- set content = '' %}
+  {%- endif %}
+
+  {%- if message.role == "user"
+        or (message.role == "system" and not loop.first) %}
+    {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>\n' }}
+
+  {%- elif message.role == "assistant" %}
+    {%- set reasoning_content = '' %}
+    {%- if message.reasoning_content is string %}
+      {%- set reasoning_content = message.reasoning_content %}
+    {%- else %}
+      {%- if '</think>' in content %}
+        {%- set reasoning_content = content.split('</think>')[0]
+              .rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+        {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+      {%- endif %}
+    {%- endif %}
+
+    {%- if loop.index0 > ns.last_query_index %}
+      {%- if loop.last or (not loop.last and reasoning_content) %}
+        {{- '<|im_start|>' + message.role + '\n<think>\n'
+            + reasoning_content.strip('\n')
+            + '\n</think>\n\n'
+            + content.lstrip('\n') }}
+      {%- else %}
+        {{- '<|im_start|>' + message.role + '\n' + content }}
+      {%- endif %}
+    {%- else %}
+      {{- '<|im_start|>' + message.role + '\n' + content }}
+    {%- endif %}
+
+    {%- if message.tool_calls %}
+      {%- for tool_call in message.tool_calls %}
+        {%- if (loop.first and content) or (not loop.first) %}
+          {{- '\n' }}
+        {%- endif %}
+        {%- if tool_call.function %}
+          {%- set tool_call = tool_call.function %}
+        {%- endif %}
+        {{- '<tool_call>\n{"name": "' }}
+        {{- tool_call.name }}
+        {{- '", "arguments": ' }}
+        {%- if tool_call.arguments is string %}
+          {{- tool_call.arguments }}
+        {%- else %}
+          {{- tool_call.arguments | tojson }}
+        {%- endif %}
+        {{- '}\n</tool_call>' }}
+      {%- endfor %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+
+  {%- elif message.role == "tool" %}
+    {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+      {{- '<|im_start|>user' }}
+    {%- endif %}
+    {{- '\n<tool_response>\n' }}
+    {{- content }}
+    {{- '\n</tool_response>' }}
+    {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+      {{- '<|im_end|>\n' }}
+    {%- endif %}
+  {%- endif %}
+{%- endfor %}
+
+{%- if add_generation_prompt %}
+  {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 9728,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 262144,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 5000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.1",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+{
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "4.57.1"
+}

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