tomasmcm / loyal-piano-m7

Source: chargoddard/loyal-piano-m7 ✦ Quant: TheBloke/loyal-piano-m7-AWQ ✦ Intended to be a roleplay-focused model with some smarts and good long-context recall

  • Public
  • 42 runs
  • Paper
  • License
Run with an API
Playground API Examples README Versions

Run time and cost

This model costs approximately $0.0036 to run on Replicate, or 277 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 4 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Built with Axolotl

Experimenting with dataset ratios. Intended to be a roleplay-focused model with some smarts and good long-context recall.

Not sure if I’ve succeeded on the roleplay front, but something sure went right! Currently the #4 7B model on the leaderboard as of 11/30/2023. Going to riff on this and see where it goes.

model Average ARC HellaSwag MMLU TruthfulQA Winogrande GSM8K DROP
fblgit/juanako-7b-UNA 59.91 68.17 85.34 62.47 65.13 78.85 20.7 38.74
Intel/neural-chat-7b-v3-1 59.06 66.21 83.64 62.37 59.65 78.14 19.56 43.84
Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-1-7B 58.6 66.55 84.47 63.34 61.22 78.37 23.58 32.66
chargoddard/loyal-piano-m7 58.42 66.72 85.03 64.43 60.03 79.08 25.7 27.92
Gryphe/MythoMist7b 58.26 65.87 83.55 62.32 59.98 78.06 20.24 37.82

Dataset composition: | dataset | rows used | percent of total | | — | — | — | | PIPPA | 14.6k | 43% | | summarize_from_feedback | 9k | 26% | | orca_mini_v1_dataset | 5.6k | 17% | | rpguild | 2.86k | 8% | | LimaRP | 2k | 6% |