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@@ -39,27 +39,31 @@ This model was trained on `nomic-ai/gpt4all-j-prompt-generations` using `revisio
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  Results on common sense reasoning benchmarks
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  ```
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- Model BoolQ PIQA HellaSwag WinoGrande ARC-e ARC-c OBQA
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- ----------------------- ---------- ---------- ----------- ------------ ---------- ---------- ----------
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- GPT4All-J 6B v1.0 73.4 74.8 63.4 64.7 54.9 36.0 40.2
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- GPT4All-J v1.1-breezy 74.0 75.1 63.2 63.6 55.4 34.9 38.4
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- GPT4All-J v1.2-jazzy 74.8 74.9 63.6 63.8 56.6 35.3 41.0
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- GPT4All-J v1.3-groovy 73.6 74.3 63.8 63.5 57.7 35.0 38.8
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- GPT4All-J Lora 6B 68.6 75.8 66.2 63.5 56.4 35.7 40.2
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- GPT4All LLaMa Lora 7B 73.1 77.6 72.1 67.8 51.1 40.4 40.2
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- GPT4All 13B snoozy *83.3* 79.2 75.0 *71.3* 60.9 44.2 43.4
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- Dolly 6B 68.8 77.3 67.6 63.9 62.9 38.7 41.2
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- Dolly 12B 56.7 75.4 71.0 62.2 *64.6* 38.5 40.4
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- Alpaca 7B 73.9 77.2 73.9 66.1 59.8 43.3 43.4
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- Alpaca Lora 7B 74.3 *79.3* 74.0 68.8 56.6 43.9 42.6
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- GPT-J 6B 65.4 76.2 66.2 64.1 62.2 36.6 38.2
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- LLama 7B 73.1 77.4 73.0 66.9 52.5 41.4 42.4
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- LLama 13B 68.5 79.1 *76.2* 70.1 60.0 *44.6* 42.2
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- Pythia 6.9B 63.5 76.3 64.0 61.1 61.3 35.2 37.2
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- Pythia 12B 67.7 76.6 67.3 63.8 63.9 34.8 38.0
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- Vicuña T5 81.5 64.6 46.3 61.8 49.3 33.3 39.4
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- Vicuña 13B 81.5 76.8 73.3 66.7 57.4 42.7 43.6
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- Stable Vicuña RLHF 82.3 78.6 74.1 70.9 61.0 43.5 *44.4*
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- StableLM Tuned 62.5 71.2 53.6 54.8 52.4 31.1 33.4
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- StableLM Base 60.1 67.4 41.2 50.1 44.9 27.0 32.0
 
 
 
 
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  ```
 
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  Results on common sense reasoning benchmarks
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  ```
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+ | Model | BoolQ | PIQA | HellaSwag | WinoGrande | ARC-e | ARC-c | OBQA | Avg. |
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+ |:--------------------------|:--------:|:--------:|:---------:|:----------:|:--------:|:--------:|:--------:|:--------:|
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+ | GPT4All-J 6B v1.0 | 73.4 | 74.8 | 63.4 | 64.7 | 54.9 | 36.0 | 40.2 | 58.2 |
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+ | GPT4All-J v1.1-breezy | 74.0 | 75.1 | 63.2 | 63.6 | 55.4 | 34.9 | 38.4 | 57.8 |
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+ | GPT4All-J v1.2-jazzy | 74.8 | 74.9 | 63.6 | 63.8 | 56.6 | 35.3 | 41.0 | 58.6 |
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+ | GPT4All-J v1.3-groovy | 73.6 | 74.3 | 63.8 | 63.5 | 57.7 | 35.0 | 38.8 | 58.1 |
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+ | GPT4All-J Lora 6B | 68.6 | 75.8 | 66.2 | 63.5 | 56.4 | 35.7 | 40.2 | 58.1 |
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+ | GPT4All LLaMa Lora 7B | 73.1 | 77.6 | 72.1 | 67.8 | 51.1 | 40.4 | 40.2 | 60.3 |
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+ | GPT4All 13B snoozy | **83.3** | 79.2 | 75.0 | **71.3** | 60.9 | 44.2 | 43.4 | **65.3** |
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+ | Dolly 6B | 68.8 | 77.3 | 67.6 | 63.9 | 62.9 | 38.7 | 41.2 | 60.1 |
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+ | Dolly 12B | 56.7 | 75.4 | 71.0 | 62.2 | **64.6** | 38.5 | 40.4 | 58.4 |
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+ | Alpaca 7B | 73.9 | 77.2 | 73.9 | 66.1 | 59.8 | 43.3 | 43.4 | 62.4 |
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+ | Alpaca Lora 7B | 74.3 | **79.3** | 74.0 | 68.8 | 56.6 | 43.9 | 42.6 | 62.8 |
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+ | GPT-J 6.7B | 65.4 | 76.2 | 66.2 | 64.1 | 62.2 | 36.6 | 38.2 | 58.4 |
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+ | LLaMa 7B | 73.1 | 77.4 | 73.0 | 66.9 | 52.5 | 41.4 | 42.4 | 61.0 |
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+ | LLama 13B | 68.5 | 79.1 | **76.2** | 70.1 | 60.0 | **44.6** | 42.2 | 63.0 |
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+ | Pythia 6.7B | 63.5 | 76.3 | 64.0 | 61.1 | 61.3 | 35.2 | 37.2 | 57.0 |
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+ | Pythia 12B | 67.7 | 76.6 | 67.3 | 63.8 | 63.9 | 34.8 | 38 | 58.9 |
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+ | Fastchat T5 | 81.5 | 64.6 | 46.3 | 61.8 | 49.3 | 33.3 | 39.4 | 53.7 |
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+ | Fastchat Vicuña 7B | 76.6 | 77.2 | 70.7 | 67.3 | 53.5 | 41.2 | 40.8 | 61.0 |
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+ | Fastchat Vicuña 13B | 81.5 | 76.8 | 73.3 | 66.7 | 57.4 | 42.7 | 43.6 | 63.1 |
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+ | Stable Vicuña RLHF | 82.3 | 78.6 | 74.1 | 70.9 | 61.0 | 43.5 | **44.4** | 65.0 |
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+ | StableLM Tuned | 62.5 | 71.2 | 53.6 | 54.8 | 52.4 | 31.1 | 33.4 | 51.3 |
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+ | StableLM Base | 60.1 | 67.4 | 41.2 | 50.1 | 44.9 | 27.0 | 32.0 | 42.2 |
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+ | Koala 13B | 76.5 | 77.9 | 72.6 | 68.8 | 54.3 | 41.0 | 42.8 | 62.0 |
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+ | Open Assistant Pythia 12B | 67.9 | 78.0 | 68.1 | 65.0 | 64.2 | 40.4 | 43.2 | 61.0 |
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+ | text-davinci-003 | 88.1 | 83.8 | 83.4 | 75.8 | 83.9 | 63.9 | 51.0 | 75.7 |
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  ```