RichardErkhov/cutelemonlili_-_llama3.2_3b_NuminaMath-CoT_100k_MATH_training_Qwen2.5-32B-Instruct-gguf

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llama3.23bNuminaMath-CoT100kMATHtrainingQwen2.5-32B-Instruct - GGUF

• —Model creator: https://huggingface.co/cutelemonlili/
• —Original model: https://huggingface.co/cutelemonlili/llama3.23bNuminaMath-CoT100kMATHtrainingQwen2.5-32B-Instruct/

Original model description: --- libraryname: transformers license: other basemodel: TaiGary/llama3.23bNuminaMath-CoT_100k tags:

• —llama-factory
• —full
• —generatedfromtrainer model-index:
• —name: MATHtrainingQwen2.5-32B-Instruct results: [] ---

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MATHtrainingQwen2.5-32B-Instruct

This model is a fine-tuned version of TaiGary/llama3.2_3b_NuminaMath-CoT_100k on the MATHtrainingQwen2.5-32B-Instruct dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2421

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 1e-05
• —trainbatchsize: 2
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —totaltrainbatch_size: 8
• —totalevalbatch_size: 4
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.46.1
• —Pytorch 2.5.1+cu124
• —Datasets 3.1.0
• —Tokenizers 0.20.3