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ChuckMcSneed/Gembo-v1.1-70b
Gembo-v1.1-70b is a text generation model from ChuckMcSneed. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
This is like Gembo v1, but with 6-7% more human data. Does perform a bit worse on the benches(who cares? I do.), but should be able to write in more diverse styles(See waxwing-styles.txt, tested it with v1, v1 does it…
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From the Hugging Face model README
This is like Gembo v1, but with 6-7% more human data. Does perform a bit worse on the benches(who cares? I do.), but should be able to write in more diverse styles(See waxwing-styles.txt, tested it with v1, v1 does it better.). Mainly made for RP, but should be okay as an assistant. Turned out quite good, considering the amount of LORAs I merged into it.
Nah. I prefer hyperslop over this "humanized" one. Maybe I've been poisoned by slop.
Internal name of this model was euryale-guano-saiga-med-janboros-kim-wing-lima-wiz-tony-d30-s40, but I decided to keep it short, and since it was iteration G in my files, I called it "Gembo".
Alpaca. You can also try some other formats, I'm pretty sure it has a lot of them from all those merges.
### Instruction:
{instruction}
### Response:
As I already mentioned, high temperature and rep.pen. works great. For RP try something like this:
Adjust to match your needs.
I took Sao10K/Euryale-1.3-L2-70B (Good base model) and added
Then I SLERP-merged it with cognitivecomputations/dolphin-2.2-70b (Needed to bridge the gap between this wonderful mess and Smaxxxer, otherwise it's quality is low) with 0.3t and then SLERP-merged it again with ChuckMcSneed/SMaxxxer-v1-70b (Creativity) with 0.4t. For SLERP-merges I used https://github.com/arcee-ai/mergekit.
| Test name | Gembo | Gembo 1.1 |
|---|---|---|
| B | 2.5 | 2.5 |
| C | 1.5 | 1.5 |
| D | 3 | 3 |
| S | 7.5 | 6.75 |
| P | 5.25 | 5.25 |
| Total | 19.75 | 19 |
| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
|---|---|---|---|---|---|---|---|
| Gembo-v1-70b | 70.51 | 71.25 | 86.98 | 70.85 | 63.25 | 80.51 | 50.19 |
| Gembo-v1.1-70b | 70.35 | 70.99 | 86.9 | 70.63 | 62.45 | 80.51 | 50.64 |
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 70.35 |
| AI2 Reasoning Challenge (25-Shot) | 70.99 |
| HellaSwag (10-Shot) | 86.90 |
| MMLU (5-Shot) | 70.63 |
| TruthfulQA (0-shot) | 62.45 |
| Winogrande (5-shot) | 80.51 |
| GSM8k (5-shot) | 50.64 |