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Model: OmnicromsBrain/Eros_Scribe-7b
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+tags:
+- merge
+- mergekit
+- nsfw
+- OmnicromsBrain/EverythingBagel-DPO-7B
+- OmnicromsBrain/ToppyCox-7B
+base_model:
+- OmnicromsBrain/EverythingBagel-DPO-7B
+- OmnicromsBrain/ToppyCox-7B
+---
+
+
+![erosScribe1.png](https://cdn-uploads.huggingface.co/production/uploads/65c70c9e21d80a923d664563/CNxRlFhCqLzbxWvKw66bZ.png)
+
+
+## Eros_Scribe-7b
+
+This model was created for the purpose of writing **NSFW Prose** but it's also very good at **RP**.
+
+Over a dozen models and at least 25 dataset were involved in this merge.
+Eros_Scribe-7b is a merge of the following models:
+
+* [OmnicromsBrain/EverythingBagel-DPO-7B](https://huggingface.co/OmnicromsBrain/EverythingBagel-DPO-7B)
+  * jondurbin/bagel-dpo-7b-v0.5
+  * SanjiWatsuki/Silicon-Maid-7B
+    * chargoddard/loyal-piano-m7
+    * NeverSleep/Noromaid-7b-v0.2
+    * athirdpath/NSFW_DPO_vmgb-7b
+    * xDAN-AI/xDAN-L1-Chat-RL-v1
+      
+* [OmnicromsBrain/ToppyCox-7B](https://huggingface.co/OmnicromsBrain/ToppyCox-7B)
+  * N8Programs/Coxcomb
+  * Undi95/Toppy-M-7B
+    * openchat/openchat_3.5
+    * NousResearch/Nous-Capybara-7B-V1.9
+    * HuggingFaceH4/zephyr-7b-beta
+    * Undi95/zephyr-7b-beta-pippa-sharegpt
+    * Undi95/Nous-Capybara-7B-V1.9-120-Days
+    * Undi95/openchat_3.5-LimaRP-13B
+    * lemonilia/AshhLimaRP-Mistral-7B
+    * mistralai/Mistral-7B-v0.1
+
+  
+BTW the name was suggested by Mistral 8x7b instruct
+
+
+## ⚡ Quantized Models
+
+
+**.GGUF** https://huggingface.co/OmnicromsBrain/Eros_Scribe-7b-GGUF
+    
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: OmnicromsBrain/EverythingBagel-DPO-7B
+        layer_range: [0, 32]
+      - model: OmnicromsBrain/ToppyCox-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: OmnicromsBrain/EverythingBagel-DPO-7B
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "OmnicromsBrain/Eros_Scribe-7b"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```

config.json

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+{
+  "_name_or_path": "OmnicromsBrain/EverythingBagel-DPO-7B",
+  "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": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: OmnicromsBrain/EverythingBagel-DPO-7B
+        layer_range: [0, 32]
+      - model: OmnicromsBrain/ToppyCox-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: OmnicromsBrain/EverythingBagel-DPO-7B
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{%- for idx in range(0, messages|length) -%}\n{%- if messages[idx]['role'] == 'user' -%}\n{%- if idx > 1 -%}\n{{- bos_token + '[INST] ' + messages[idx]['content'] + ' [/INST]' -}}\n{%- else -%}\n{{- messages[idx]['content'] + ' [/INST]' -}}\n{%- endif -%}\n{% elif messages[idx]['role'] == 'system' %}\n{{- '[INST] <<SYS>>\\n' + messages[idx]['content'] + '\\n<</SYS>>\\n\\n' -}}\n{%- elif messages[idx]['role'] == 'assistant' -%}\n{{- ' '  + messages[idx]['content'] + ' ' + eos_token -}}\n{% endif %}\n{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}