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llama2-7-dolly-query – AI Model by LukeOLuck | AlphaNeural AI
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LukeOLuck
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llama2-7-dolly-query
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peft
tensorboard
safetensors
PyTorch
Transformers
trl
sft
BitsAndBytes
PEFT
QLoRA
en
databricks/databricks-dolly-15k
2205.14135
2305.14314
meta-llama/Llama-2-7b-chat
adapter
mit
us
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llama2-7-dolly-query
This model is a fine-tuned version of
Llama-2-7b-chat-hf
on the generator dataset. Can be used in conjunction with
LukeOLuck/llama2-7-dolly-answer
Model description
A Fine-Tuned PEFT Adapter for the llama2 7b chat hf model Leverages
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
,
QLoRA: Efficient Finetuning of Quantized LLMs
, and
PEFT
Intended uses & limitations
Generate a query based on context and input
Training and evaluation data
Used SFTTrainer,
checkout the code
Training procedure
Checkout the code here
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
image/png
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
