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unsloth-Meta-Llama-3.1-8B-Instruct-bnb-4bit_SFT_D70074

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unsloth-Meta-Llama-3.1-8B-Instruct-bnb-4bit_SFT_D70074

This model is a fine-tuned version of unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit on the generator 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: 8
eval_batch_size: 8
seed: 7331
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
lr_scheduler_warmup_steps: 5
num_epochs: 1

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

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Inference API

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Model tree for clembench-playpen/unsloth-Meta-Llama-3.1-8B-Instruct-bnb-4bit_SFT_D70074

Base model

meta-llama/Llama-3.1-8B

Finetuned

meta-llama/Llama-3.1-8B-Instruct

Quantized

unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit

Adapter

(28)

this model

Evaluation results

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