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RichardErkhov/
mlfoundations-dev_-_stackoverflow_10000tasks_.25p-gguf

Name: mlfoundations-dev_-_stackoverflow_10000tasks_.25p-gguf
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stackoverflow_10000tasks_.25p - GGUF

Model creator: https://huggingface.co/mlfoundations-dev/
Original model: https://huggingface.co/mlfoundations-dev/stackoverflow_10000tasks_.25p/

Name	Quant method	Size
stackoverflow_10000tasks_.25p.Q2_K.gguf	Q2_K	2.96GB
stackoverflow_10000tasks_.25p.IQ3_XS.gguf	IQ3_XS	3.28GB
stackoverflow_10000tasks_.25p.IQ3_S.gguf	IQ3_S	3.43GB
stackoverflow_10000tasks_.25p.Q3_K_S.gguf	Q3_K_S	3.41GB
stackoverflow_10000tasks_.25p.IQ3_M.gguf	IQ3_M	3.52GB
stackoverflow_10000tasks_.25p.Q3_K.gguf	Q3_K	3.74GB
stackoverflow_10000tasks_.25p.Q3_K_M.gguf	Q3_K_M	3.74GB
stackoverflow_10000tasks_.25p.Q3_K_L.gguf	Q3_K_L	4.03GB
stackoverflow_10000tasks_.25p.IQ4_XS.gguf	IQ4_XS	4.18GB
stackoverflow_10000tasks_.25p.Q4_0.gguf	Q4_0	4.34GB
stackoverflow_10000tasks_.25p.IQ4_NL.gguf	IQ4_NL	4.38GB
stackoverflow_10000tasks_.25p.Q4_K_S.gguf	Q4_K_S	4.37GB
stackoverflow_10000tasks_.25p.Q4_K.gguf	Q4_K	4.58GB
stackoverflow_10000tasks_.25p.Q4_K_M.gguf	Q4_K_M	4.58GB
stackoverflow_10000tasks_.25p.Q4_1.gguf	Q4_1	4.78GB
stackoverflow_10000tasks_.25p.Q5_0.gguf	Q5_0	5.21GB
stackoverflow_10000tasks_.25p.Q5_K_S.gguf	Q5_K_S	5.21GB
stackoverflow_10000tasks_.25p.Q5_K.gguf	Q5_K	5.34GB
stackoverflow_10000tasks_.25p.Q5_K_M.gguf	Q5_K_M	5.34GB
stackoverflow_10000tasks_.25p.Q5_1.gguf	Q5_1	5.65GB
stackoverflow_10000tasks_.25p.Q6_K.gguf	Q6_K	6.14GB
stackoverflow_10000tasks_.25p.Q8_0.gguf	Q8_0	7.95GB

Original model description:

library_name: transformers license: llama3.1 base_model: meta-llama/Meta-Llama-3.1-8B tags:

llama-factory
full
generated_from_trainer model-index:
name: stackoverflow_10000tasks_.25p results: []

stackoverflow_10000tasks_.25p

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the mlfoundations-dev/stackoverflow_10000tasks_.25p dataset. It achieves the following results on the evaluation set:

Loss: 0.5873

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: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 512
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.6489	0.9851	33	0.6297
0.565	2.0	67	0.5920
0.4948	2.9552	99	0.5873

Framework versions

Transformers 4.46.1
Pytorch 2.3.0
Datasets 3.1.0
Tokenizers 0.20.3

RichardErkhov/mlfoundations-dev_-_stackoverflow_10000tasks_.25p-gguf

Original model description:

stackoverflow_10000tasks_.25p

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
mlfoundations-dev_-_stackoverflow_10000tasks_.25p-gguf