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gpt-neoxt-20b-v2 – AI Model by iamplus | AlphaNeural AI

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iamplus/
gpt-neoxt-20b-v2

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text-generation

iamplus/Instruction_Tuning

bigscience-openrail-m

autotrain_compatible

text-generation-inference

endpoints_compatible

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Instruction Tuned GPT-NeoXT-20B model on Stanford Alpaca-2 Instruction Tuning dataset (outputs from ChatGPT) (52k data) using Colossal AI

Base Model: togethercomputer/GPT-NeoXT-Chat-Base-20B (not fine-tuned on feedback data)

Training Details :

Epochs: 5
Batch Size : 16 instantaneous per device x 1 gradient accumulation steps x 8 gpus = 128
Max Length : 1024
Weight Decay : 0
Learning Rate : 2e-5
Learning Rate Scheduler Type : Cosine
Number of warmup steps : 30
Machine : 8xA100 80GB

Dataset Details :

Dataset : iamplus/Instruction_Tuning

Files :

stanford_alpaca_it_v2.csv