From ab9c6761d4a72f314f73915576a5b3a695bf7e49 Mon Sep 17 00:00:00 2001
From: ModelHub XC <noreply@modelhub.org.cn>
Date: Wed, 6 May 2026 04:20:34 +0800
Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?=
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Model: PokeeAI/pokee_research_7b
Source: Original Platform
---
 .gitattributes                   |  55 +++++
 README.md                        | 208 ++++++++++++++++++
 added_tokens.json                |  24 +++
 chat_template.jinja              |  54 +++++
 config.json                      |  58 ++++++
 configuration.json               |   1 +
 generation_config.json           |  14 ++
 merges.txt                       |   3 +
 model-00001-of-00004.safetensors |   3 +
 model-00002-of-00004.safetensors |   3 +
 model-00003-of-00004.safetensors |   3 +
 model-00004-of-00004.safetensors |   3 +
 model.safetensors.index.json     | 347 +++++++++++++++++++++++++++++++
 special_tokens_map.json          |  31 +++
 tokenizer.json                   |   3 +
 tokenizer_config.json            | 207 ++++++++++++++++++
 vocab.json                       |   3 +
 17 files changed, 1020 insertions(+)
 create mode 100644 .gitattributes
 create mode 100644 README.md
 create mode 100644 added_tokens.json
 create mode 100644 chat_template.jinja
 create mode 100644 config.json
 create mode 100644 configuration.json
 create mode 100644 generation_config.json
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 create mode 100644 model-00001-of-00004.safetensors
 create mode 100644 model-00002-of-00004.safetensors
 create mode 100644 model-00003-of-00004.safetensors
 create mode 100644 model-00004-of-00004.safetensors
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 create mode 100644 special_tokens_map.json
 create mode 100644 tokenizer.json
 create mode 100644 tokenizer_config.json
 create mode 100644 vocab.json

diff --git a/.gitattributes b/.gitattributes
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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
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+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
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+*.onnx filter=lfs diff=lfs merge=lfs -text
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+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+*.tgz filter=lfs diff=lfs merge=lfs -text
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+*.ark* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
+ 
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.gguf* filter=lfs diff=lfs merge=lfs -text
+*.ggml filter=lfs diff=lfs merge=lfs -text
+*.llamafile* filter=lfs diff=lfs merge=lfs -text
+*.pt2 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
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+*.tar filter=lfs diff=lfs merge=lfs -text
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+
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
+vocab.json filter=lfs diff=lfs merge=lfs -text
+model-00004-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text
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diff --git a/README.md b/README.md
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--- /dev/null
+++ b/README.md
@@ -0,0 +1,208 @@
+---
+base_model:
+- Qwen/Qwen2.5-7B-Instruct
+datasets:
+- miromind-ai/MiroRL-GenQA
+language:
+- en
+license: apache-2.0
+tags:
+- agent
+- deepresearch
+- llm
+- rl
+- reinforcementlearning
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# Model Card for PokeeResearch
+
+## Model Details
+
+### Model Description
+
+**PokeeResearch-7B** is a **7-billion-parameter deep research agent** developed by **Pokee AI** to advance reliable, aligned, and scalable research-grade reasoning in tool-augmented LLMs.  
+The model integrates **Reinforcement Learning from AI Feedback (RLAIF)** with a **robust reasoning scaffold**, enabling it to conduct complex, multi-step research workflows that include self-correction, verification, and synthesis across multiple independent research threads.
+
+- **Developed by:** Pokee AI
+- **Model type:** Tool-augmented large language model (LLM) research agent  
+- **Language(s):** English, Chinese and many more
+- **License:** Apache 2.0  
+- **Finetuned from model:** Qwen2.5-7B-Instruct
+
+### Model Sources
+
+- **Repository:** [https://github.com/Pokee-AI/PokeeResearchOSS](https://github.com/Pokee-AI/PokeeResearchOSS)  
+- **Paper:** [*PokeeResearch: Effective Deep Research via Reinforcement Learning from AI Feedback and Robust Reasoning Scaffold*](https://arxiv.org/pdf/2510.15862), Pokee AI, October 2025
+- **Project Page:** [https://pokee.ai/deepresearch-preview](https://pokee.ai/deepresearch-preview)
+
+---
+
+## Uses
+
+### Direct Use
+PokeeResearch-7B is designed for **deep research automation**, where the model autonomously:
+- Decomposes complex user queries  
+- Retrieves and reads from external sources  
+- Synthesizes factual, verifiable, and grounded answers  
+
+It can be used as a **standalone research assistant** or integrated into **multi-agent systems** to support academic, enterprise, or product-level research tasks.
+
+### Downstream Use
+PokeeResearch-7B can be **fine-tuned** or **extended** for:
+- Domain-specific scientific discovery  
+- Autonomous document retrieval and synthesis  
+- Multi-source verification and summarization pipelines  
+- Integration into reinforcement learning research agents (RLHF/RLAIF frameworks)
+
+### Out-of-Scope Use
+The model should **not** be used for:
+- Generating unverified or speculative claims  
+- Automated decision-making in high-stakes domains (medical, legal, or financial)  
+- Applications requiring strict factual precision without external verification  
+- Generating content without citation or evidence tracing  
+
+---
+
+## Bias, Risks, and Limitations
+
+PokeeResearch-7B is optimized for factual grounding and robustness, but limitations include:
+- Dependence on **external data quality** and **retrieval accuracy**  
+- Potential **semantic bias** introduced by AI-based feedback signals  
+- Limited coverage for **non-English** or **multi-modal** reasoning tasks  
+- Risk of **hallucinated synthesis** when sources conflict or lack clarity  
+
+### Recommendations
+Users should:
+- Cross-verify answers, especially in multi-hop reasoning cases  
+- Monitor output for citation accuracy and alignment with source data  
+- Refrain from using outputs as sole evidence in decision-critical contexts  
+
+---
+
+## How to Get Started with the Model
+please refer to the following codebase for how to use PokeeResearch-7B
+https://github.com/Pokee-AI/PokeeResearchOSS/blob/main/README.md
+
+---
+
+## Training Details
+
+### Training Data
+- **Dataset:** MiroRL-GenQA dataset (MiroMind AI, 2025)  
+- **Data characteristics:** Complex, multi-turn question–answer pairs requiring multi-step reasoning  
+- **Data filtering:** No benchmark data used for testing; the model was trained only on open-domain text Q&A samples  
+
+### Training Procedure
+
+#### Preprocessing
+- Normalization and tokenization aligned with Qwen2.5 tokenizer  
+- Structured prompt–response pairs in research/verification format (`<tool_call>`, `<answer>`, `<verification>`)
+
+#### Training Hyperparameters
+- **Algorithm:** RLOO (REINFORCE Leave-One-Out)  
+- **Batch size:** 64  
+- **Research threads per prompt:** 8  
+- **Learning rate:** 3e-6  
+- **Context limit:** 32,768 tokens  
+- **Steps:** 140 fine-tuning iterations  
+- **Regularization:** None (no entropy or KL regularization)  
+- **Precision regime:** bf16 mixed precision  
+
+#### Reward Design
+- Combined reward signal from:
+  - **AI feedback** (semantic equivalence via external LLM judge)  
+  - **Format adherence reward** (ensures correct agent behavior)  
+
+#### Speeds, Sizes, Times
+- **Model size:** 7 billion parameters  
+- **Training duration:** ~5 days on 8 × A100 80G GPUs  
+- **Checkpoint size:** ~13 GB  
+
+---
+
+## Evaluation
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+10 open-domain research and QA benchmarks:
+- NQ, TriviaQA, PopQA, HotpotQA, 2WikiMultiHopQA, Musique, Bamboogle, GAIA, BrowseComp, Humanity’s Last Exam
+
+#### Factors
+- Benchmarks differ by reasoning depth, retrieval dependence, and factual precision requirements.  
+- Evaluations disaggregate by dataset difficulty and task type (single-hop vs multi-hop).  
+
+#### Metrics
+- Mean accuracy (mean@4 across independent research threads) based on 
+
+### Results
+
+**PokeeResearch-7B (RTS variant)** and **PokeeResearch-7B** outperforms all baselines at 7B scale across 10 benchmarks.  
+Highlights (mean@4 accuracy):  
+| **Method** | **HLE** | **GAIA** | **BrowseComp** | **BAMB** | **2WIKI** | **TQ** | **NQ** | **POPQA** | **MUSIQUE** | **HOTPOTQA** |
+|-------------|----------|-----------|----------------|-----------|-----------|----------|----------|-------------|---------------|----------------|
+| R1searcher | 5.4 | 8.3 | 1.0 | 63.2 | 61.4 | 77.2 | 59.6 | 51.8 | 35.8 | 62.4 |
+| SearchR1 | 13.0 | 18.7 | 0.4 | 67.8 | 62.8 | 81.0 | 67.6 | 59.6 | 33.2 | 63.2 |
+| ZeroSearch | 8.6 | 9.9 | 1.4 | 51.4 | 33.6 | 61.6 | 48.2 | 38.0 | 19.0 | 32.4 |
+| ASearcher | 13.8 | 22.1 | 3.2 | 68.8 | 69.2 | 85.2 | 71.2 | 58.2 | 35.8 | 71.0 |
+| DeepResearcher | 6.0 | 24.03 | 1.8 | 71.0 | 58.8 | 82.2 | 60.2 | 55.2 | 26.8 | 56.6 |
+| **PR** | **15.2** | **36.9** | **5.4** | **74.5** | **74.0** | **91.3** | **75.1** | **59.8** | **39.8** | **71.2** |
+| **PR+** | **17.6** | **41.3** | **8.4** | **75.0** | **75.0** | **91.8** | **75.0** | **60.0** | **41.4** | **71.6** |
+
+#### Summary
+PokeeResearch-7B variants achieves **state-of-the-art performance among 7B-scale open deep research agents**, validating RLAIF and reasoning scaffold design for robust, verifiable research workflows.
+
+---
+
+## Technical Specifications
+
+### Model Architecture and Objective
+- **Base Architecture:** Transformer decoder (Qwen2.5-7B-Instruct backbone)  
+- **Objective:** Reinforcement learning with AI feedback to maximize semantic correctness and alignment with human-style reasoning  
+
+### Compute Infrastructure
+#### Hardware
+- NVIDIA A100 80GB GPUs ×8 for training and x1 for inference
+---
+
+## Citation
+
+**BibTeX:**
+```bibtex
+@article{pokee2025deepresearch,
+  title={PokeeResearch: Effective Deep Research via
+          Reinforcement Learning from AI Feedback and Robust Reasoning Scaffold},
+  author={Yi Wan* and Jiuqi Wang* and Liam Li
+          and Jinsong Liu and Ruihao Zhu and Zheqing Zhu},
+  journal={Pokee AI Technical Report},
+  year={2025},
+  url={https://arxiv.org/pdf/2510.15862}
+}
+```
+
+**APA:**
+Wan, Y., Wang, J., Li, L., Liu, J., Zhu, R., & Zhu, Z. (2025). *PokeeResearch: Effective Deep Research via Reinforcement Learning from AI Feedback and Robust Reasoning Scaffold.* Pokee AI.
+
+---
+
+## Glossary
+
+- **RLAIF:** Reinforcement Learning from AI Feedback – optimization using LLM-based reward signals.  
+- **RLOO:** REINFORCE Leave-One-Out – unbiased policy gradient variant for on-policy learning.  
+- **RTS:** Research Threads Synthesis – synthesis of multiple independent reasoning threads at inference time.  
+
+---
+
+## More Information
+For technical details, visit: [https://github.com/Pokee-AI/PokeeResearchOSS](https://github.com/Pokee-AI/PokeeResearchOSS)  
+For inquiries, contact: hello@pokee.ai  
+
+---
+
+## Model Card Authors
+**Yi Wan**, **Jiuqi Wang**, Liam Li, Jinsong Liu, Ruihao Zhu, and Zheqing Zhu — Pokee AI Research Team  
+
+## Model Card Contact
+Pokee AI Team — hello@pokee.ai
\ No newline at end of file
diff --git a/added_tokens.json b/added_tokens.json
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--- /dev/null
+++ b/added_tokens.json
@@ -0,0 +1,24 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|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
+}
diff --git a/chat_template.jinja b/chat_template.jinja
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--- /dev/null
+++ b/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# 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' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.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 %}
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..c9cfa9d
--- /dev/null
+++ b/config.json
@@ -0,0 +1,58 @@
+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "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": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.53.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}
diff --git a/configuration.json b/configuration.json
new file mode 100644
index 0000000..159097f
--- /dev/null
+++ b/configuration.json
@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "others", "allow_remote": true}
\ No newline at end of file
diff --git a/generation_config.json b/generation_config.json
new file mode 100644
index 0000000..5fbc8a9
--- /dev/null
+++ b/generation_config.json
@@ -0,0 +1,14 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.53.2"
+}
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new file mode 100644
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new file mode 100644
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