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.gitattributes

@@ -33,3 +33,11 @@ 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
+gc-opd-alfworld-qwen3-1.7b/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+gc-opd-alfworld-qwen3-1.7b-ga/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+gc-opd-scienceworld-qwen3-1.7b/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+gc-opd-scienceworld-qwen3-1.7b-ga/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+gc-opd-scienceworld-qwen3-4b/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+gc-opd-scienceworld-qwen3-4b-ga/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+gc-opd-webshop-qwen3.5-0.8b/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+gc-opd-webshop-qwen3.5-0.8b-ga/tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,60 @@
+---
+library_name: transformers
+license: apache-2.0
+language:
+- en
+tags:
+- gc-opd
+- language-agents
+- arxiv:2609.37522
+---
+
+# GC-OPD models
+
+**Graph-Conditioned On-Policy Agent Distillation from Off-the-Shelf Teachers**
+
+[Paper](https://arxiv.org/abs/2609.37522) · [Code and evaluation instructions](https://github.com/hanyi2021/GC_OPD)
+
+This collection contains eight BF16 models: GC-OPD and GC-OPD+GA for ScienceWorld 1.7B/4B, ALFWorld 1.7B and WebShop 0.8B. GA uses planner/oracle executions to augment the training graph.
+
+| Environment | Student | GC-OPD | GC-OPD+GA |
+|---|---|---|---|
+| ScienceWorld | Qwen3-1.7B | [46.18%](gc-opd-scienceworld-qwen3-1.7b/) | [53.61%](gc-opd-scienceworld-qwen3-1.7b-ga/) |
+| ScienceWorld | Qwen3-4B | [48.78%](gc-opd-scienceworld-qwen3-4b/) | [54.68%](gc-opd-scienceworld-qwen3-4b-ga/) |
+| ALFWorld | Qwen3-1.7B | [85.26%](gc-opd-alfworld-qwen3-1.7b/) | [93.47%](gc-opd-alfworld-qwen3-1.7b-ga/) |
+| WebShop | Qwen3.5-0.8B | [37.65%](gc-opd-webshop-qwen3.5-0.8b/) | [39.90%](gc-opd-webshop-qwen3.5-0.8b-ga/) |
+
+Success rates are the paper's four-seed means for the corresponding checkpoints; ALFWorld reports Unseen success. Individual model cards contain the full results and inference settings.
+
+## Model files
+
+Each model is stored in the subdirectory linked above and includes BF16 weights, configuration, tokenizer and chat template. Individual model cards describe the corresponding checkpoint and inference settings.
+
+## Download and evaluate
+
+Download the desired model subdirectory with the Hugging Face CLI. Set `REPO_ID` to this repository's `owner/name`:
+
+```bash
+REPO_ID="owner/GC-OPD"
+MODEL="gc-opd-scienceworld-qwen3-1.7b"
+hf download "$REPO_ID" --include "${MODEL}/*" --local-dir ./models
+```
+
+Pass `./models/${MODEL}` to `--model` in the matching [ScienceWorld, ALFWorld or WebShop evaluation command](https://github.com/hanyi2021/GC_OPD#evaluate-an-existing-model). Use the supplied tokenizer and chat template with the environment-specific prompts and evaluation settings in the code.
+
+## Citation
+
+```bibtex
+@misc{yi2026gcopd,
+  title = {Graph-Conditioned On-Policy Agent Distillation from Off-the-Shelf Teachers},
+  author = {Xiaohan Yi and Wen Luo and Yani Huang and Junfeng Zhan and Asher Qin and Peilin Zhao and Xi Xiao},
+  year = {2026},
+  eprint = {2609.37522},
+  archivePrefix = {arXiv},
+  url = {https://arxiv.org/abs/2609.37522}
+}
+```
+
+## License
+
+The models are released under Apache-2.0. See the license and attribution in each model directory.

gc-opd-alfworld-qwen3-1.7b-ga/.gitattributes

@@ -0,0 +1 @@
+*.safetensors filter=lfs diff=lfs merge=lfs -text

gc-opd-alfworld-qwen3-1.7b-ga/LICENSE

@@ -0,0 +1,202 @@
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gc-opd-alfworld-qwen3-1.7b-ga/README.md

@@ -0,0 +1,55 @@
+---
+arxiv: 2609.37522
+library_name: transformers
+pipeline_tag: text-generation
+license: apache-2.0
+base_model:
+- Qwen/Qwen3-1.7B
+base_model_relation: finetune
+language:
+- en
+tags:
+- gc-opd
+- alfworld
+- agents
+- bfloat16
+---
+
+# GC-OPD + GA ALFWorld Qwen3-1.7B — BF16
+
+Paper: [arXiv:2609.37522](https://arxiv.org/abs/2609.37522).
+
+BF16 export of checkpoint **C209** from *Graph-Conditioned On-Policy Agent Distillation from Off-the-Shelf Teachers*. This student was trained with graph-conditioned on-policy distillation from an original Qwen3-32B teacher and planner-augmented training graphs (GA). The added planner sources were replay verified and limited to 30 decisions. Inference uses the student policy with the ALFWorld task, observation, admissible actions and recent history.
+
+All 310 stored floating-point tensors are BF16. Every tensor was checked bit-for-bit against the source checkpoint cast to BF16, with unchanged names and shapes and no nonfinite values. The original source weights were retained separately.
+
+## Paper results
+
+| Split | Tasks per seed | Success (%) |
+|---|---:|---:|
+| Seen | 140 | 96.07 ± 0.92 |
+| Unseen | 134 | 93.47 ± 0.71 |
+
+The table reports the corresponding source checkpoint's results from the paper: mean ± sample standard deviation over four inference seeds.
+
+## Use with the public code
+
+Code and installation: [hanyi2021/GC_OPD](https://github.com/hanyi2021/GC_OPD).
+
+From the public GC-OPD code repository root, with the official ALFWorld/TextWorld environment installed:
+
+```bash
+CUDA_VISIBLE_DEVICES=0 python -m gcopd.alfworld.evaluate \
+  --model /path/to/gc-opd-alfworld-qwen3-1.7b-ga \
+  --data-root /path/to/alfworld/json_2.1.1 \
+  --env-python /path/to/alfworld-env/bin/python \
+  --backend vllm --reps 0 --output /path/to/new-evaluation
+```
+
+The benchmark wrapper uses a fresh single-user H5 context, up to 30 decisions, a 512-token response cap, temperature 0.4, top-p 1 and no top-k restriction. It disables the model's separate thinking chat mode while retaining the requested thought/action response format. Use the wrapper's explicit sampling parameters for benchmark evaluation.
+
+The configuration retains matching legacy `rope_theta` and modern `rope_parameters` with theta **1,000,000**. Tokenizer and chat-template payloads are preserved. Teacher weights, training graphs and optimizer state are unnecessary for inference and are not included.
+
+## Attribution and license
+
+Derived from [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B), developed by the Qwen team. GC-OPD fine-tuning and BF16 conversion modify the base weights. This does not imply endorsement by Qwen. The upstream Apache License 2.0 is included in [LICENSE](LICENSE).

gc-opd-alfworld-qwen3-1.7b-ga/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- 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' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

gc-opd-alfworld-qwen3-1.7b-ga/config.json

@@ -0,0 +1,65 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "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"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.5.3",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936,
+  "torch_dtype": "bfloat16",
+  "rope_theta": 1000000
+}

gc-opd-alfworld-qwen3-1.7b-ga/generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.5.3"
+}

gc-opd-alfworld-qwen3-1.7b-ga/model.safetensors

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+size 3441185608

gc-opd-alfworld-qwen3-1.7b-ga/tokenizer.json

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+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650

gc-opd-alfworld-qwen3-1.7b-ga/tokenizer_config.json

@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": true,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ]
+}

gc-opd-alfworld-qwen3-1.7b/.gitattributes

@@ -0,0 +1 @@
+*.safetensors filter=lfs diff=lfs merge=lfs -text

gc-opd-alfworld-qwen3-1.7b/LICENSE

@@ -0,0 +1,202 @@
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gc-opd-alfworld-qwen3-1.7b/README.md

@@ -0,0 +1,55 @@
+---
+arxiv: 2609.37522
+library_name: transformers
+pipeline_tag: text-generation
+license: apache-2.0
+base_model:
+- Qwen/Qwen3-1.7B
+base_model_relation: finetune
+language:
+- en
+tags:
+- gc-opd
+- alfworld
+- agents
+- bfloat16
+---
+
+# GC-OPD ALFWorld Qwen3-1.7B — BF16
+
+Paper: [arXiv:2609.37522](https://arxiv.org/abs/2609.37522).
+
+BF16 export of checkpoint **C196** from *Graph-Conditioned On-Policy Agent Distillation from Off-the-Shelf Teachers*. This student was trained with graph-conditioned on-policy distillation from an original Qwen3-32B teacher. Inference uses the student policy with the ALFWorld task, observation, admissible actions and recent history.
+
+All 310 stored floating-point tensors are BF16. Every tensor was checked bit-for-bit against the source checkpoint cast to BF16, with unchanged names and shapes and no nonfinite values. The original source weights were retained separately.
+
+## Paper results
+
+| Split | Tasks per seed | Success (%) |
+|---|---:|---:|
+| Seen | 140 | 91.61 ± 0.68 |
+| Unseen | 134 | 85.26 ± 0.71 |
+
+The table reports the corresponding source checkpoint's results from the paper: mean ± sample standard deviation over four inference seeds.
+
+## Use with the public code
+
+Code and installation: [hanyi2021/GC_OPD](https://github.com/hanyi2021/GC_OPD).
+
+From the public GC-OPD code repository root, with the official ALFWorld/TextWorld environment installed:
+
+```bash
+CUDA_VISIBLE_DEVICES=0 python -m gcopd.alfworld.evaluate \
+  --model /path/to/gc-opd-alfworld-qwen3-1.7b \
+  --data-root /path/to/alfworld/json_2.1.1 \
+  --env-python /path/to/alfworld-env/bin/python \
+  --backend vllm --reps 0 --output /path/to/new-evaluation
+```
+
+The benchmark wrapper uses a fresh single-user H5 context, up to 30 decisions, a 512-token response cap, temperature 0.4, top-p 1 and no top-k restriction. It disables the model's separate thinking chat mode while retaining the requested thought/action response format. Use the wrapper's explicit sampling parameters for benchmark evaluation.
+
+The configuration retains matching legacy `rope_theta` and modern `rope_parameters` with theta **1,000,000**. Tokenizer and chat-template payloads are preserved. Teacher weights, training graphs and optimizer state are unnecessary for inference and are not included.
+
+## Attribution and license
+
+Derived from [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B), developed by the Qwen team. GC-OPD fine-tuning and BF16 conversion modify the base weights. This does not imply endorsement by Qwen. The upstream Apache License 2.0 is included in [LICENSE](LICENSE).

gc-opd-alfworld-qwen3-1.7b/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- 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' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

gc-opd-alfworld-qwen3-1.7b/config.json

@@ -0,0 +1,65 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "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"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.5.3",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936,
+  "rope_theta": 1000000,
+  "torch_dtype": "bfloat16"
+}

gc-opd-alfworld-qwen3-1.7b/generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.5.3"
+}

gc-opd-alfworld-qwen3-1.7b/model.safetensors

@@ -0,0 +1,3 @@
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+oid sha256:45fb4824ac30ea96ecdaa9dd06c8ac2ceaaa6552e68d41eeeefb7fbf0caf2f36
+size 3441185608

gc-opd-alfworld-qwen3-1.7b/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650

gc-opd-alfworld-qwen3-1.7b/tokenizer_config.json

@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": true,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ]
+}

gc-opd-scienceworld-qwen3-1.7b-ga/ATTRIBUTION.md

@@ -0,0 +1,7 @@
+# Attribution and changes
+
+This model derives from [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B), developed by the Qwen team. The model architecture and tokenizer are attributed to Qwen. The included LICENSE preserves the upstream Apache License, Version 2.0.
+
+GC-OPD changes the model weights through on-policy agent distillation and graph-conditioned training. The +GA variant additionally uses planner records to augment the training graph. This release stores floating-point tensors in BF16 and preserves non-floating tensors. Tokenizer vocabulary and chat-template content are preserved. Configuration updates retain equivalent RoPE and special-token settings across Transformers versions.
+
+The derived weights are released under Apache-2.0. This work does not imply endorsement by Qwen.

gc-opd-scienceworld-qwen3-1.7b-ga/LICENSE

@@ -0,0 +1,202 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
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gc-opd-scienceworld-qwen3-1.7b-ga/README.md

@@ -0,0 +1,47 @@
+---
+arxiv: 2609.37522
+library_name: transformers
+license: apache-2.0
+base_model:
+- Qwen/Qwen3-1.7B
+base_model_relation: finetune
+language:
+- en
+tags:
+- gc-opd
+- agents
+- scienceworld
+- graph-augmentation
+---
+
+# GC-OPD + GA ScienceWorld Qwen3-1.7B
+
+Paper: [arXiv:2609.37522](https://arxiv.org/abs/2609.37522).
+
+A ScienceWorld student trained with Graph-Conditioned On-Policy Distillation (GC-OPD). This +GA variant augments the training graph with executed ScienceWorld gold-path planner records and their observed outcomes. This 1.7B recipe also labels the final response when an episode ends naturally with a finite negative score; horizon and technical stops are excluded. The graph and planner are training resources; evaluation uses the student policy.
+
+This checkpoint accompanies *Graph-Conditioned On-Policy Agent Distillation from Off-the-Shelf Teachers*.
+
+## Paper reference results
+
+| Split | Tasks per repeat | Success (%) |
+|---|---:|---:|
+| ScienceWorld test | 1661 | 53.61 ± 0.48 |
+
+Selected checkpoint: **C235**. The table reports mean ± sample standard deviation across four inference repeats of one trained checkpoint. These are the paper's reference measurements.
+
+## Inference
+
+Code and installation: [hanyi2021/GC_OPD](https://github.com/hanyi2021/GC_OPD).
+
+Use this model directory with the ScienceWorld evaluator in the GC-OPD public code. No teacher, graph, or planner is required at evaluation time.
+
+The paper protocol uses temperature **0.4**, top-p **1.0**, no top-k restriction, `enable_thinking=False`, and at most **512 generated tokens per decision**. Each task permits at most **30 decisions**, with a history window of the latest **five decisions**. Use the supplied tokenizer and chat template.
+
+Weights are stored as **BF16** in a single `model.safetensors` file. With Transformers 5, load with `dtype=torch.bfloat16`. The model configuration preserves matching legacy and modern RoPE fields with theta **1,000,000** for Transformers compatibility.
+
+This directory contains inference weights, configuration, tokenizer, and chat template. Training optimizer state is not included.
+
+## Base model and license
+
+Derived from [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B), developed by the Qwen team. Released under Apache-2.0; see [LICENSE](LICENSE) and [ATTRIBUTION.md](ATTRIBUTION.md).

gc-opd-scienceworld-qwen3-1.7b-ga/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- 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' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

gc-opd-scienceworld-qwen3-1.7b-ga/config.json

@@ -0,0 +1,65 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "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"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.5.3",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936,
+  "torch_dtype": "bfloat16",
+  "rope_theta": 1000000
+}

gc-opd-scienceworld-qwen3-1.7b-ga/generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.5.3"
+}

gc-opd-scienceworld-qwen3-1.7b-ga/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85067d46c78746ac7bfe99c240245bed8b0d16db047297f3e93608029d4dc934
+size 3441185608

gc-opd-scienceworld-qwen3-1.7b-ga/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650

gc-opd-scienceworld-qwen3-1.7b-ga/tokenizer_config.json

@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": true,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ]
+}

gc-opd-scienceworld-qwen3-1.7b/.gitattributes

@@ -0,0 +1 @@
+*.safetensors filter=lfs diff=lfs merge=lfs -text

gc-opd-scienceworld-qwen3-1.7b/ATTRIBUTION.md

@@ -0,0 +1,7 @@
+# Attribution and changes
+
+This model derives from [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B), developed by the Qwen team. The model architecture and tokenizer are attributed to Qwen. The included LICENSE preserves the upstream Apache License, Version 2.0.
+
+GC-OPD changes the model weights through on-policy agent distillation and graph-conditioned training. This release stores floating-point tensors in BF16 and preserves non-floating tensors. Tokenizer vocabulary and chat-template content are preserved. Configuration updates retain equivalent RoPE and special-token settings across Transformers versions.
+
+The derived weights are released under Apache-2.0. This work does not imply endorsement by Qwen.

gc-opd-scienceworld-qwen3-1.7b/LICENSE

@@ -0,0 +1,202 @@
+
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+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
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+   you may not use this file except in compliance with the License.
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gc-opd-scienceworld-qwen3-1.7b/README.md

@@ -0,0 +1,46 @@
+---
+arxiv: 2609.37522
+library_name: transformers
+license: apache-2.0
+base_model:
+- Qwen/Qwen3-1.7B
+base_model_relation: finetune
+language:
+- en
+tags:
+- gc-opd
+- agents
+- scienceworld
+---
+
+# GC-OPD ScienceWorld Qwen3-1.7B
+
+Paper: [arXiv:2609.37522](https://arxiv.org/abs/2609.37522).
+
+A ScienceWorld student trained with Graph-Conditioned On-Policy Distillation (GC-OPD). This is the ordinary GC-OPD variant, without planner-based graph augmentation. The graph and planner are training resources; evaluation uses the student policy.
+
+This checkpoint accompanies *Graph-Conditioned On-Policy Agent Distillation from Off-the-Shelf Teachers*.
+
+## Paper reference results
+
+| Split | Tasks per repeat | Success (%) |
+|---|---:|---:|
+| ScienceWorld test | 1661 | 46.18 ± 1.13 |
+
+Selected checkpoint: **C140**. The table reports mean ± sample standard deviation across four inference repeats of one trained checkpoint. These are the paper's reference measurements.
+
+## Inference
+
+Code and installation: [hanyi2021/GC_OPD](https://github.com/hanyi2021/GC_OPD).
+
+Use this model directory with the ScienceWorld evaluator in the GC-OPD public code. No teacher, graph, or planner is required at evaluation time.
+
+The paper protocol uses temperature **0.4**, top-p **1.0**, no top-k restriction, `enable_thinking=False`, and at most **512 generated tokens per decision**. Each task permits at most **30 decisions**, with a history window of the latest **five decisions**. Use the supplied tokenizer and chat template.
+
+Weights are stored as **BF16** in a single `model.safetensors` file. With Transformers 5, load with `dtype=torch.bfloat16`. The model configuration preserves matching legacy and modern RoPE fields with theta **1,000,000** for Transformers compatibility.
+
+This directory contains inference weights, configuration, tokenizer, and chat template. Training optimizer state is not included.
+
+## Base model and license
+
+Derived from [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B), developed by the Qwen team. Released under Apache-2.0; see [LICENSE](LICENSE) and [ATTRIBUTION.md](ATTRIBUTION.md).

gc-opd-scienceworld-qwen3-1.7b/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- 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' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

gc-opd-scienceworld-qwen3-1.7b/config.json

@@ -0,0 +1,65 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "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"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.5.3",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936,
+  "rope_theta": 1000000,
+  "torch_dtype": "bfloat16"
+}

gc-opd-scienceworld-qwen3-1.7b/generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.5.3"
+}

gc-opd-scienceworld-qwen3-1.7b/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:983b35ac20d550a1f7dabb6bb0d4b5e5c9e1c87da15d49ec3eafd315cb6c3b1e
+size 3441185608

gc-opd-scienceworld-qwen3-1.7b/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650

gc-opd-scienceworld-qwen3-1.7b/tokenizer_config.json

@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": true,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ]
+}

gc-opd-scienceworld-qwen3-4b-ga/ATTRIBUTION.md

@@ -0,0 +1,7 @@
+# Attribution and changes
+
+This model derives from [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B), developed by the Qwen team. The model architecture and tokenizer are attributed to Qwen. The included LICENSE preserves the upstream Apache License, Version 2.0.
+
+GC-OPD changes the model weights through on-policy agent distillation and graph-conditioned training. The +GA variant additionally uses planner records to augment the training graph. This release stores floating-point tensors in BF16 and preserves non-floating tensors. Tokenizer vocabulary and chat-template content are preserved. Configuration updates retain equivalent RoPE and special-token settings across Transformers versions.
+
+The derived weights are released under Apache-2.0. This work does not imply endorsement by Qwen.

gc-opd-scienceworld-qwen3-4b-ga/LICENSE

@@ -0,0 +1,202 @@
+
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+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
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gc-opd-scienceworld-qwen3-4b-ga/README.md

@@ -0,0 +1,47 @@
+---
+arxiv: 2609.37522
+library_name: transformers
+license: apache-2.0
+base_model:
+- Qwen/Qwen3-4B
+base_model_relation: finetune
+language:
+- en
+tags:
+- gc-opd
+- agents
+- scienceworld
+- graph-augmentation
+---
+
+# GC-OPD + GA ScienceWorld Qwen3-4B
+
+Paper: [arXiv:2609.37522](https://arxiv.org/abs/2609.37522).
+
+A ScienceWorld student trained with Graph-Conditioned On-Policy Distillation (GC-OPD). This +GA variant augments the training graph with executed ScienceWorld gold-path planner records and their observed outcomes. The graph and planner are training resources; evaluation uses the student policy.
+
+This checkpoint accompanies *Graph-Conditioned On-Policy Agent Distillation from Off-the-Shelf Teachers*.
+
+## Paper reference results
+
+| Split | Tasks per repeat | Success (%) |
+|---|---:|---:|
+| ScienceWorld test | 1661 | 54.68 ± 0.62 |
+
+Selected checkpoint: **C190**. The table reports mean ± sample standard deviation across four inference repeats of one trained checkpoint. These are the paper's reference measurements.
+
+## Inference
+
+Code and installation: [hanyi2021/GC_OPD](https://github.com/hanyi2021/GC_OPD).
+
+Use this model directory with the ScienceWorld evaluator in the GC-OPD public code. No teacher, graph, or planner is required at evaluation time.
+
+The paper protocol uses temperature **0.4**, top-p **1.0**, no top-k restriction, `enable_thinking=False`, and at most **512 generated tokens per decision**. Each task permits at most **30 decisions**, with a history window of the latest **five decisions**. Use the supplied tokenizer and chat template.
+
+Weights are stored as **BF16** in a single `model.safetensors` file. With Transformers 5, load with `dtype=torch.bfloat16`. The model configuration preserves matching legacy and modern RoPE fields with theta **1,000,000** for Transformers compatibility.
+
+This directory contains inference weights, configuration, tokenizer, and chat template. Training optimizer state is not included.
+
+## Base model and license
+
+Derived from [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B), developed by the Qwen team. Released under Apache-2.0; see [LICENSE](LICENSE) and [ATTRIBUTION.md](ATTRIBUTION.md).

gc-opd-scienceworld-qwen3-4b-ga/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- 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' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

gc-opd-scienceworld-qwen3-4b-ga/config.json

@@ -0,0 +1,73 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "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": 40960,
+  "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_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.5.3",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936,
+  "torch_dtype": "bfloat16",
+  "rope_theta": 1000000
+}

gc-opd-scienceworld-qwen3-4b-ga/generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.5.3"
+}

gc-opd-scienceworld-qwen3-4b-ga/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b56eafb51a6de467958ab9704e8f4b5a80902501d744374f3ebe06d10417f6b9
+size 8044982080

gc-opd-scienceworld-qwen3-4b-ga/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650

gc-opd-scienceworld-qwen3-4b-ga/tokenizer_config.json

@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": true,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ]
+}

gc-opd-scienceworld-qwen3-4b/.gitattributes

@@ -0,0 +1 @@
+*.safetensors filter=lfs diff=lfs merge=lfs -text

gc-opd-scienceworld-qwen3-4b/ATTRIBUTION.md

@@ -0,0 +1,7 @@
+# Attribution and changes
+
+This model derives from [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B), developed by the Qwen team. The model architecture and tokenizer are attributed to Qwen. The included LICENSE preserves the upstream Apache License, Version 2.0.
+
+GC-OPD changes the model weights through on-policy agent distillation and graph-conditioned training. This release stores floating-point tensors in BF16 and preserves non-floating tensors. Tokenizer vocabulary and chat-template content are preserved. Configuration updates retain equivalent RoPE and special-token settings across Transformers versions.
+
+The derived weights are released under Apache-2.0. This work does not imply endorsement by Qwen.