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---
license: apache-2.0
datasets:
- nomic-ai/gpt4all-j-prompt-generations
language:
- en
pipeline_tag: text-generation
---
# Model Card for GPT4All-J-v1.0
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
<!-- Provide a longer summary of what this model is. -->
This model has been finetuned from [GPT-J](https://huggingface.co/EleutherAI/gpt-j-6B)
- **Developed by:** [Nomic AI](https://home.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](https://huggingface.co/EleutherAI/gpt-j-6B)
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [https://github.com/nomic-ai/gpt4all](https://github.com/nomic-ai/gpt4all)
- **Base Model Repository:** [https://github.com/kingoflolz/mesh-transformer-jax](https://github.com/kingoflolz/mesh-transformer-jax)
- **Paper [optional]:** [GPT4All-J: An Apache-2 Licensed Assistant-Style Chatbot](https://s3.amazonaws.com/static.nomic.ai/gpt4all/2023_GPT4All-J_Technical_Report_2.pdf)
- **Demo [optional]:** [https://gpt4all.io/](https://gpt4all.io/)
### Training Procedure
GPT4All is made possible by our compute partner [Paperspace](https://www.paperspace.com/).
Trained on a DGX cluster with 8 A100 80GB GPUs for ~12 hours. Using Deepspeed + Accelerate, we use a global batch size of 256 with a learning rate of 2e-5. 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
``` |