You can deploy this model and start earning money today!

RichardErkhov/
mlfoundations-dev_-_stackoverflow_5000tasks_1p-gguf

Name: mlfoundations-dev_-_stackoverflow_5000tasks_1p-gguf
Availability: InStock

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

stackoverflow_5000tasks_1p - GGUF

Model creator: https://huggingface.co/mlfoundations-dev/
Original model: https://huggingface.co/mlfoundations-dev/stackoverflow_5000tasks_1p/

Name	Quant method	Size
stackoverflow_5000tasks_1p.Q2_K.gguf	Q2_K	2.96GB
stackoverflow_5000tasks_1p.IQ3_XS.gguf	IQ3_XS	3.28GB
stackoverflow_5000tasks_1p.IQ3_S.gguf	IQ3_S	3.43GB
stackoverflow_5000tasks_1p.Q3_K_S.gguf	Q3_K_S	3.41GB
stackoverflow_5000tasks_1p.IQ3_M.gguf	IQ3_M	3.52GB
stackoverflow_5000tasks_1p.Q3_K.gguf	Q3_K	3.74GB
stackoverflow_5000tasks_1p.Q3_K_M.gguf	Q3_K_M	3.74GB
stackoverflow_5000tasks_1p.Q3_K_L.gguf	Q3_K_L	4.03GB
stackoverflow_5000tasks_1p.IQ4_XS.gguf	IQ4_XS	4.18GB
stackoverflow_5000tasks_1p.Q4_0.gguf	Q4_0	4.34GB
stackoverflow_5000tasks_1p.IQ4_NL.gguf	IQ4_NL	4.38GB
stackoverflow_5000tasks_1p.Q4_K_S.gguf	Q4_K_S	4.37GB
stackoverflow_5000tasks_1p.Q4_K.gguf	Q4_K	4.58GB
stackoverflow_5000tasks_1p.Q4_K_M.gguf	Q4_K_M	4.58GB
stackoverflow_5000tasks_1p.Q4_1.gguf	Q4_1	4.78GB
stackoverflow_5000tasks_1p.Q5_0.gguf	Q5_0	5.21GB
stackoverflow_5000tasks_1p.Q5_K_S.gguf	Q5_K_S	5.21GB
stackoverflow_5000tasks_1p.Q5_K.gguf	Q5_K	5.34GB
stackoverflow_5000tasks_1p.Q5_K_M.gguf	Q5_K_M	5.34GB
stackoverflow_5000tasks_1p.Q5_1.gguf	Q5_1	5.65GB
stackoverflow_5000tasks_1p.Q6_K.gguf	Q6_K	6.14GB
stackoverflow_5000tasks_1p.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_5000tasks_1p results: []

stackoverflow_5000tasks_1p

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the mlfoundations-dev/stackoverflow_5000tasks_1p dataset. It achieves the following results on the evaluation set:

Loss: 0.7998

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
0.8534	1.0	35	0.8312
0.7696	2.0	70	0.8034
0.7087	3.0	105	0.7998

Framework versions

Transformers 4.46.1
Pytorch 2.3.0
Datasets 3.1.0
Tokenizers 0.20.3

RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_1p-gguf

Original model description:

stackoverflow_5000tasks_1p

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
mlfoundations-dev_-_stackoverflow_5000tasks_1p-gguf