bif02_-_lamma_operons-gguf – AI Model by RichardErkhov | AlphaNeural AI

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bif02_-_lamma_operons-gguf

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lamma_operons - GGUF

Model creator: https://huggingface.co/bif02/
Original model: https://huggingface.co/bif02/lamma_operons/

Name	Quant method	Size
lamma_operons.Q2_K.gguf	Q2_K	0.54GB
lamma_operons.IQ3_XS.gguf	IQ3_XS	0.58GB
lamma_operons.IQ3_S.gguf	IQ3_S	0.6GB
lamma_operons.Q3_K_S.gguf	Q3_K_S	0.6GB
lamma_operons.IQ3_M.gguf	IQ3_M	0.61GB
lamma_operons.Q3_K.gguf	Q3_K	0.64GB
lamma_operons.Q3_K_M.gguf	Q3_K_M	0.64GB
lamma_operons.Q3_K_L.gguf	Q3_K_L	0.68GB
lamma_operons.IQ4_XS.gguf	IQ4_XS	0.7GB
lamma_operons.Q4_0.gguf	Q4_0	0.72GB
lamma_operons.IQ4_NL.gguf	IQ4_NL	0.72GB
lamma_operons.Q4_K_S.gguf	Q4_K_S	0.72GB
lamma_operons.Q4_K.gguf	Q4_K	0.75GB
lamma_operons.Q4_K_M.gguf	Q4_K_M	0.75GB
lamma_operons.Q4_1.gguf	Q4_1	0.77GB
lamma_operons.Q5_0.gguf	Q5_0	0.83GB
lamma_operons.Q5_K_S.gguf	Q5_K_S	0.83GB
lamma_operons.Q5_K.gguf	Q5_K	0.85GB
lamma_operons.Q5_K_M.gguf	Q5_K_M	0.85GB
lamma_operons.Q5_1.gguf	Q5_1	0.89GB
lamma_operons.Q6_K.gguf	Q6_K	0.95GB
lamma_operons.Q8_0.gguf	Q8_0	1.23GB

Original model description:

library_name: transformers license: llama3.2 base_model: bif02/lamma_operons tags:

generated_from_trainer model-index:
name: lamma_operons results: []

lamma_operons

This model is a fine-tuned version of bif02/lamma_operons on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1076

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: 0.001
train_batch_size: 2
eval_batch_size: 2
seed: 0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
0.0887	1.0	1107	0.1228
0.0888	2.0	2214	0.1193
0.0831	3.0	3321	0.1212
0.0808	4.0	4428	0.1163
0.0759	5.0	5535	0.1080
0.0733	6.0	6642	0.1076

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1