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KUETLLM_mistral – AI Model by shahidul034 | AlphaNeural AI

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shahidul034/
KUETLLM_mistral

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TheBloke/Mistral-7B-v0.1-GPTQ

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Contributed by Tanim Jalal(https://huggingface.co/arbitropy)

KUETLLM_mistral

This model is a fine-tuned version of TheBloke/Mistral-7B-v0.1-GPTQ on the None dataset.

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: 0.0002
train_batch_size: 24
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0