SanjiWatsuki/Silicon-Maid-7B

Top 1 RP Performer on MT-bench 🤪

Next Gen Silicon-Based RP Maid

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

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!

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

Model	Average	AGIEval	GPT4All	TruthfulQA	Bigbench
OpenPipe/mistral-ft-optimized-1218 📄	56.85	44.74	75.6	59.89	47.17
Silicon-Maid-7B 📄	56.45	44.74	74.26	61.5	45.32
mlabonne/NeuralHermes-2.5-Mistral-7B 📄	53.51	43.67	73.24	55.37	41.76
teknium/OpenHermes-2.5-Mistral-7B 📄	52.42	42.75	72.99	52.99	40.94
openchat/openchat_3.5 📄	51.34	42.67	72.92	47.27	42.51
berkeley-nest/Starling-LM-7B-alpha 📄	51.16	42.06	72.72	47.33	42.53
HuggingFaceH4/zephyr-7b-beta 📄	50.99	37.33	71.83	55.1	39.7