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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
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+assets/cybermaid.png filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: cc-by-4.0
+language:
+- en
+tags:
+- merge
+- not-for-all-audiences
+- nsfw
+---
+
+<div style="display: flex; justify-content: center; align-items: center">
+  <img src="https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B/resolve/main/assets/cybermaid.png">
+</div
+>
+
+<p align="center">
+  <big><b>Top 1 RP Performer on MT-bench 🤪</b
+></big>
+</p>
+
+<p align="center">
+  <strong>Next Gen Silicon-Based RP Maid</strong>
+</p>
+
+## 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.
+
+It's built on [xDAN-AI/xDAN-L1-Chat-RL-v1](https://huggingface.co/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.
+
+<img src="https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B/resolve/main/assets/fig-silicon-loyal.png">
+
+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](https://huggingface.co/SanjiWatsuki/Loyal-Macaroni-Maid-7B#the-sauce-all-you-need-is-dare)
+
+### 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](https://files.catbox.moe/ifmhai.json), [Instruct](https://files.catbox.moe/ttw1l9.json).
+
+Additionally, here is my highly recommended [Text Completion preset](https://huggingface.co/SanjiWatsuki/Loyal-Macaroni-Maid-7B/blob/main/Characters/MinP.json). 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:
+```
+
+

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors.index.json

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