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aliarda
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llama-50M-DAPT-Hepsiburada

Safetensors
Turkish
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This is a Domain Adaptive PreTrained llama model. Made for experimental purposes.

You can use modeling files from this GitHub repo.

  • Model Size: 52,177,152
  • Vocab Size: 32,768
  • Context Length: 512
  • Embedding Dimension: 256
  • Attention Heads: 128
  • KV Groups: 64
  • Hidden Dimension: 2048
  • Number of Layers: 20

Original pretrained model is trained on 1/4 of aliarda/turkish-news-1.8M-tokenized. This model is then trained on 80% of alibayram/hepsiburada_yorumlar with the goal of adapting to another domain.

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Model tree for aliarda/llama-50M-DAPT-Hepsiburada

Base model

aliarda/llama-50M-randParams
Finetuned
aliarda/llama-50M-latest
Finetuned
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this model

Datasets used to train aliarda/llama-50M-DAPT-Hepsiburada