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llama_twitch_combined_jynxzi_v1_4bit_qlora – AI Model by spjabech | AlphaNeural AI

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spjabech/
llama_twitch_combined_jynxzi_v1_4bit_qlora

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gradientai/Llama-3-8B-Instruct-262k

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llama_twitch_combined_jynxzi_v1_4bit_qlora

This model is a fine-tuned version of gradientai/Llama-3-8B-Instruct-262k on an unknown 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: 2.5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.03
num_epochs: 10

Training results

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1