gpt4all-j-lora

Model Card for GPT4All-J-LoRA

An Apache-2 licensed chatbot trained over a massive curated corpus of assistant interactions including word problems, multi-turn dialogue, code, poems, songs, and stories.

Model Details

Model Description

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This model has been finetuned from GPT-J

• Developed by: Nomic AI
• Model Type: A finetuned GPT-J model on assistant style interaction data
• Language(s) (NLP): English
• License: Apache-2
• Finetuned from model [optional]: GPT-J

Model Sources [optional]

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• Repository: https://github.com/nomic-ai/gpt4all
• Base Model Repository: https://github.com/kingoflolz/mesh-transformer-jax
• Paper [optional]: GPT4All-J: An Apache-2 Licensed Assistant-Style Chatbot
• Demo [optional]: https://gpt4all.io/

Training Procedure

GPT4All is made possible by our compute partner Paperspace.

Trained on a DGX cluster with 8 A100 80GB GPUs for ~12 hours. Using Deepspeed + Accelerate, we use a global batch size of 32 with a learning rate of 2e-5 using LoRA. More information can be found in the repo.

Results

Results on common sense reasoning benchmarks

 Model                     BoolQ       PIQA     HellaSwag   WinoGrande    ARC-e      ARC-c       OBQA
  ----------------------- ---------- ---------- ----------- ------------ ---------- ---------- ----------
  GPT4All-J 6.7B             73.4       74.8       63.4         64.7        54.9       36.0       40.2
  GPT4All-J Lora 6.7B        68.6       75.8       66.2         63.5        56.4       35.7       40.2
  GPT4All LLaMa Lora 7B      73.1       77.6       72.1         67.8        51.1       40.4       40.2
  Dolly 6B                   68.8       77.3       67.6         63.9        62.9       38.7       41.2
  Dolly 12B                  56.7       75.4       71.0         62.2       *64.6*      38.5        40.4
  Alpaca 7B                  73.9       77.2       73.9         66.1        59.8       43.3       43.4
  Alpaca Lora 7B            *74.3*     *79.3*     *74.0*       *68.8*       56.6      *43.9*     *42.6*
  GPT-J 6.7B                 65.4       76.2       66.2         64.1        62.2       36.6       38.2
  LLaMa 7B                   73.1       77.4       73.0         66.9        52.5       41.4       42.4
  Pythia 6.7B                63.5       76.3       64.0         61.1        61.3       35.2       37.2
  Pythia 12B                 67.7       76.6       67.3         63.8        63.9       34.8        38