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README.md

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+---
+datasets:
+- Squish42/bluemoon-fandom-1-1-rp-cleaned
+- OpenLeecher/Teatime
+- PygmalionAI/PIPPA
+tags:
+- not-for-all-audiences
+- nsfw
+license: cc-by-nc-4.0
+---
+## What is PetrolLM-Claude-Chat?
+PetrolLM-Claude-Chat is the [CollectiveCognition-v1.1-Mistral-7B](https://huggingface.co/teknium/CollectiveCognition-v1.1-Mistral-7B) model with the [PetrolLoRA](https://huggingface.co/Norquinal/PetrolLoRA) applied.
+
+The dataset (for the LoRA) consists of 2800 samples, with the composition as follows:
+* AICG Logs (~34%)
+* PygmalionAI/PIPPA (~33%)
+* Squish42/bluemoon-fandom-1-1-rp-cleaned (~29%)
+* OpenLeecher/Teatime (~4%)
+
+These samples were then back-filled using gpt-4/gpt-3.5-turbo-16k or otherwise converted to fit the prompt format.
+
+## Prompt Format
+The model uses the following prompt format:
+```
+---
+style: roleplay
+characters:
+  [char]: [description]
+summary: [scenario]
+---
+<chat_history>
+Format:
+[char]: [message]
+Human: [message]
+```
+
+## Use in Text Generation Web UI
+Install the bleeding-edge version of `transformers` from source:
+```
+pip install git+https://github.com/huggingface/transformers
+```
+Or, alternatively, change `model_type` in `config.json` from `mistral` to `llama`.
+
+## Use in SillyTavern UI
+![](https://files.catbox.moe/2dkr28.png)
+As an addendum, you can include one of the following as the `Last Output Sequence`:
+```
+Human: In your next reply, write at least two paragraphs. Be descriptive and immersive, providing vivid details about {{char}}'s actions, emotions, and the environment.
+{{char}}:
+```
+```
+{{char}} (2 paragraphs, engaging, natural, authentic, descriptive, creative):
+```
+```
+[System note: Write at least two paragraphs. Be descriptive and immersive, providing vivid details about {{char}}'s actions, emotions, and the environment.]
+{{char}}:
+```
+The third one seems to work the best. I would recommend experimenting with creating your own to best suit your needs.

config.json

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+{
+  "_name_or_path": "teknium/CollectiveCognition-v1.1-Mistral-7B",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "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": "float16",
+  "transformers_version": "4.35.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.35.0.dev0"
+}

huggingface-metadata.txt

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+url: https://huggingface.co/Norquinal/PetrolLM-CollectiveCognition
+branch: main
+download date: 2023-10-13 12:09:09
+sha256sum:
+    86d82ef4705d55edcd80925088dc9d814c30cf47859894b862f9321940ba13b6 pytorch_model-00001-of-00002.bin
+    aadf970b5b3269d507c1d452e87f62fde74b7a5177fb28a82520b9b18ae47d16 pytorch_model-00002-of-00002.bin

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