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Model: OmnicromsBrain/Eros_Scribe-7b
Source: Original Platform
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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"])
```