commit 21ea2c388a79fb16df5408357de4f26f357a8736
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Tue Jun 23 07:10:17 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: deepmath/Qwen2.5-Math-7B-orz
    Source: Original Platform

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diff --git a/README.md b/README.md
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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
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+### Model Description
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+#### Metrics
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+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+
+#### Summary
+
+
+
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+
+<!-- Relevant interpretability work for the model goes here -->
+
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+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
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+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
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+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+## Model Card Contact
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diff --git a/special_tokens_map.json b/special_tokens_map.json
new file mode 100644
index 0000000..17305b3
--- /dev/null
+++ b/special_tokens_map.json
@@ -0,0 +1,31 @@
+{
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+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
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+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
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+  }
+}
diff --git a/tokenizer.json b/tokenizer.json
new file mode 100644
index 0000000..51ebb3b
--- /dev/null
+++ b/tokenizer.json
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+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000..9bd8ecd
--- /dev/null
+++ b/tokenizer_config.json
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+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
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+  "chat_template": "{{ bos_token }}A conversation between User and Assistant. The User asks a question, and the Assistant solves it. The Assistant first thinks about the reasoning process in the mind and then provides the User with the answer. The reasoning process is enclosed within <think> </think> and answer is enclosed within <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>. {% for message in messages %}{% if message['role'] == 'user' %}User: You must put your answer inside <answer> </answer> tags, i.e., <answer> answer here </answer>. And your final answer will be extracted automatically by the \\boxed{} tag.\nThis is the problem:\n{{ message['content'] }}\n{% elif message['role'] == 'assistant' %}Assistant: <think>{{ message['content'] }}</answer>\n{% endif %}{% endfor %}{% if add_generation_prompt %}Assistant: <think>{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}
diff --git a/vocab.json b/vocab.json
new file mode 100644
index 0000000..6c49fc6
--- /dev/null
+++ b/vocab.json
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+size 2776833