Silicon-Maid-7B

WTF is This?

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

^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!

The Sauce

models: # Top-Loyal-Bruins-Maid-DARE-7B
  - model: mistralai/Mistral-7B-v0.1
    # no parameters necessary for base model
  - model: xDAN-AI/xDAN-L1-Chat-RL-v1
    parameters:
      weight: 0.4
      density: 0.8
  - model: chargoddard/loyal-piano-m7
    parameters:
      weight: 0.3
      density: 0.8
  - model: Undi95/Toppy-M-7B
    parameters:
      weight: 0.2
      density: 0.4
  - model: NeverSleep/Noromaid-7b-v0.2
    parameters:
      weight: 0.2
      density: 0.4
  - model: athirdpath/NSFW_DPO_vmgb-7b
    parameters:
      weight: 0.2
      density: 0.4
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16

For more information about why I use this merger, see the Loyal-Macaroni-Maid repo

Prompt Template (Alpaca)

I found the best SillyTavern results from using the Noromaid template but please try other templates! Let me know if you find anything good.

SillyTavern config files: Context, Instruct.

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:

Other Benchmarks