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RichardErkhov/
cutelemonlili_-_Qwen2.5-0.5B-Instruct_omni_training_less_than_5-gguf

Name: cutelemonlili_-_Qwen2.5-0.5B-Instruct_omni_training_less_than_5-gguf
Availability: InStock

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Qwen2.5-0.5B-Instruct_omni_training_less_than_5 - GGUF

Model creator: https://huggingface.co/cutelemonlili/
Original model: https://huggingface.co/cutelemonlili/Qwen2.5-0.5B-Instruct_omni_training_less_than_5/

Name	Quant method	Size
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q2_K.gguf	Q2_K	0.32GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.IQ3_XS.gguf	IQ3_XS	0.32GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.IQ3_S.gguf	IQ3_S	0.32GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q3_K_S.gguf	Q3_K_S	0.32GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.IQ3_M.gguf	IQ3_M	0.32GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q3_K.gguf	Q3_K	0.33GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q3_K_M.gguf	Q3_K_M	0.33GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q3_K_L.gguf	Q3_K_L	0.34GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.IQ4_XS.gguf	IQ4_XS	0.33GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q4_0.gguf	Q4_0	0.33GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.IQ4_NL.gguf	IQ4_NL	0.33GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q4_K_S.gguf	Q4_K_S	0.36GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q4_K.gguf	Q4_K	0.37GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q4_K_M.gguf	Q4_K_M	0.37GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q4_1.gguf	Q4_1	0.35GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q5_0.gguf	Q5_0	0.37GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q5_K_S.gguf	Q5_K_S	0.38GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q5_K.gguf	Q5_K	0.39GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q5_K_M.gguf	Q5_K_M	0.39GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q5_1.gguf	Q5_1	0.39GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q6_K.gguf	Q6_K	0.47GB
Qwen2.5-0.5B-Instruct_omni_training_less_than_5.Q8_0.gguf	Q8_0	0.49GB

Original model description:

library_name: transformers license: other base_model: Qwen/Qwen2.5-0.5B-Instruct tags:

llama-factory
full
generated_from_trainer model-index:
name: omni_training_less_than_5 results: []

omni_training_less_than_5

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the omni_training_less_than_5 dataset. It achieves the following results on the evaluation set:

Loss: 1.0635

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: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 8
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
0.8966	0.8696	200	1.0388
0.4382	1.7391	400	1.0631

Framework versions

Transformers 4.46.1
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3

RichardErkhov/cutelemonlili_-_Qwen2.5-0.5B-Instruct_omni_training_less_than_5-gguf

Original model description:

omni_training_less_than_5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
cutelemonlili_-_Qwen2.5-0.5B-Instruct_omni_training_less_than_5-gguf