初始化项目，由ModelHub XC社区提供模型

Model: LLM360/MegaMath-Llama-3.2-1B
Source: Original Platform

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README.md

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+---
+license: llama3.2
+datasets:
+- LLM360/MegaMath
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- math
+- code
+- cot
+- pal
+---
+
+# MegaMath-Llama-3.2-1B
+
+[Arxiv](https://arxiv.org/abs/2504.02807) | [Datasets](https://huggingface.co/datasets/LLM360/MegaMath)
+
+A proof-of-concept model train on [MegaMath](https://huggingface.co/datasets/LLM360/MegaMath) dataset, capable of both Chain-of-Thought and Program-Aided-Language problem solving.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/628f6e5ab90dde28ef57d293/Sw4P-clZhFMxBSNmVAaww.png)
+
+## Performance
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/628f6e5ab90dde28ef57d293/nZYsgAj1vhuoKhpJb4ZU7.png)
+
+## Citation
+If you find our work useful, please cite
+```bibtex
+@article{zhou2025megamath,
+  title     = {MegaMath: Pushing the Limits of Open Math Corpora},
+  author    = {Zhou, Fan and Wang, Zengzhi and Ranjan, Nikhil and Cheng, Zhoujun and Tang, Liping and He, Guowei and Liu, Zhengzhong and Xing, Eric P.},
+  journal   = {arXiv preprint arXiv:2504.02807},
+  year      = {2025},
+  note      = {Preprint}
+}
+```

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "is_llama_config": true,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_interleaved": false,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.48.3",
+  "use_cache": true,
+  "vocab_size": 128256
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "transformers_version": "4.48.3"
+}

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}