commit 15ef1774455637ca460b678548d57513804e4514 Author: ModelHub XC Date: Sat Jul 11 08:46:09 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: anujjamwal/OpenMath-Nemotron-1.5B-PruneAware-2 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs 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file mode 100644 index 0000000..ece4894 --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +base_model: anujjamwal/OpenMath-Nemotron-1.5B-PruneAware-2 +library_name: transformers +model_name: OpenMath-Nemotron-1.5B-PruneAware-2 +tags: +- generated_from_trainer +- sft +- trl +licence: license +--- + +# Model Card for OpenMath-Nemotron-1.5B-PruneAware-2 + +This model is a fine-tuned version of [anujjamwal/OpenMath-Nemotron-1.5B-PruneAware-2](https://huggingface.co/anujjamwal/OpenMath-Nemotron-1.5B-PruneAware-2). +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="anujjamwal/OpenMath-Nemotron-1.5B-PruneAware-2", device="cuda") +output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] +print(output["generated_text"]) +``` + +## Training procedure + +[Visualize in Weights & Biases](https://wandb.ai/anujjamwal-stanford-university/huggingface/runs/bv63j8gc) + + + +This model was trained with SFT. + +### Framework versions + +- TRL: 0.29.0 +- Transformers: 5.0.0 +- Pytorch: 2.10.0+cu128 +- Datasets: 4.0.0 +- Tokenizers: 0.22.2 + +## Citations + + + +Cite TRL as: + +```bibtex +@software{vonwerra2020trl, + title = {{TRL: Transformers Reinforcement Learning}}, + author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin}, + license = {Apache-2.0}, + url = {https://github.com/huggingface/trl}, + year = {2020} +} +``` \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..2cfe475 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,21 @@ + {%- if messages[0]['role'] == 'system' -%} + <|im_start|>system + {{ messages[0]['content'] | trim }}<|im_end|> + {%- else -%} + <|im_start|>system + <|im_end|> + {%- endif -%} + {%- for message in messages -%} + {%- if (message.role == 'user') or (message.role == 'system' and not loop.first) or (message.role == 'assistant') -%} + <|im_start|>{{ message.role }} + {%- if message['role'] == 'assistant' %} + {% generation %}{{ message['content'] | trim }}<|im_end|>{% endgeneration %} + {%- else %} + {{ message['content'] | trim }}<|im_end|> + {%- endif %} + {%- endif -%} + {%- endfor -%} + {%- if add_generation_prompt %} + <|im_start|>assistant + {%- endif -%} + \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..882eca2 --- /dev/null +++ b/config.json @@ -0,0 +1,61 @@ +{ + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": null, + "dtype": "bfloat16", + "eos_token_id": 151645, + "hidden_act": "silu", + "hidden_size": 1536, + "initializer_range": 0.02, + "intermediate_size": 8960, + "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": 131072, + "max_window_layers": 21, + "model_type": "qwen2", + "num_attention_heads": 12, + "num_hidden_layers": 28, + "num_key_value_heads": 2, + "pad_token_id": 151643, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 500000.0, + "rope_type": "default" + }, + "sliding_window": null, + 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