Silicon-Maid-7B is another model targeted at being both strong at RP and being a smart cookie that can follow character cards very well. As of right now, Silicon-Maid-7B outscores both of my previous 7B RP models in my RP benchmark and I have been impressed by this model's creativity. It is suitable for RP/ERP and general use. Quants can be found here.
It's built on xDAN-AI/xDAN-L1-Chat-RL-v1, a 7B model which scores unusually high on MT-Bench, and chargoddard/loyal-piano-m7, an Alpaca format 7B model with surprisingly creative outputs. I was excited to see this model for two main reasons:
MT-Bench normally correlates well with real world model quality
It was an Alpaca prompt model with high benches which meant I could try swapping out my Marcoroni frankenmerge used in my previous model.
MT-Bench Average Turn
model
score
size
gpt-4
8.99
-
xDAN-L1-Chat-RL-v1
8.24^1
7b
Starling-7B
8.09
7b
Claude-2
8.06
-
Silicon-Maid
7.96
7b
Loyal-Macaroni-Maid
7.95
7b
gpt-3.5-turbo
7.94
20b?
Claude-1
7.90
-
OpenChat-3.5
7.81
-
vicuna-33b-v1.3
7.12
33b
wizardlm-30b
7.01
30b
Llama-2-70b-chat
6.86
70b
^1 xDAN's testing placed it 8.35 - this number is from my independent MT-Bench run.
It's unclear to me if xDAN-L1-Chat-RL-v1 is overtly benchmaxxing but it seemed like a solid 7B from my limited testing (although nothing that screams 2nd best model behind GPT-4). Amusingly, the model lost a lot of Reasoning and Coding skills in the merger. This was a much greater MT-Bench dropoff than I expected, perhaps suggesting the Math/Reasoning ability in the original model was rather dense and susceptible to being lost to a DARE TIE merger?
Besides that, the merger is almost identical to the Loyal-Macaroni-Maid merger with a new base "smart cookie" model. If you liked any of my previous RP models, give this one a shot and let me know in the Community tab what you think!
Additionally, here is my highly recommended Text Completion preset. You can tweak this by adjusting temperature up or dropping min p to boost creativity or raise min p to increase stability. You shouldn't need to touch anything else!
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
