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RichardErkhov/
cutelemonlili_-_Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct-gguf

Name: cutelemonlili_-_Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct-gguf
Availability: InStock

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Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct - GGUF

Model creator: https://huggingface.co/cutelemonlili/
Original model: https://huggingface.co/cutelemonlili/Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct/

Name	Quant method	Size
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q2_K.gguf	Q2_K	1.19GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.IQ3_XS.gguf	IQ3_XS	1.3GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.IQ3_S.gguf	IQ3_S	1.36GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q3_K_S.gguf	Q3_K_S	1.35GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.IQ3_M.gguf	IQ3_M	1.39GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q3_K.gguf	Q3_K	1.48GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q3_K_M.gguf	Q3_K_M	1.48GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q3_K_L.gguf	Q3_K_L	1.59GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.IQ4_XS.gguf	IQ4_XS	1.63GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q4_0.gguf	Q4_0	1.7GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.IQ4_NL.gguf	IQ4_NL	1.71GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q4_K_S.gguf	Q4_K_S	1.71GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q4_K.gguf	Q4_K	1.8GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q4_K_M.gguf	Q4_K_M	1.8GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q4_1.gguf	Q4_1	1.86GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q5_0.gguf	Q5_0	2.02GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q5_K_S.gguf	Q5_K_S	2.02GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q5_K.gguf	Q5_K	2.07GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q5_K_M.gguf	Q5_K_M	2.07GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q5_1.gguf	Q5_1	2.18GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q6_K.gguf	Q6_K	2.36GB
Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct.Q8_0.gguf	Q8_0	3.06GB

Original model description:

library_name: transformers license: other base_model: Qwen/Qwen2.5-Coder-3B-Instruct tags:

llama-factory
full
generated_from_trainer model-index:
name: MATH_training_Qwen2.5-32B-Instruct results: []

MATH_training_Qwen2.5-32B-Instruct

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-3B-Instruct on the MATH_training_Qwen2.5-32B-Instruct dataset. It achieves the following results on the evaluation set:

Loss: 0.1354

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
train_batch_size: 4
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 16
total_eval_batch_size: 4
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.099	0.5988	200	0.1256
0.0321	1.1976	400	0.1378
0.0307	1.7964	600	0.1360

Framework versions

Transformers 4.46.1
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3

RichardErkhov/cutelemonlili_-_Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct-gguf

Original model description:

MATH_training_Qwen2.5-32B-Instruct

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
cutelemonlili_-_Qwen2.5-Coder-3B-Instruct_MATH_training_Qwen2.5-32B-Instruct-gguf