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RichardErkhov/
OmnicromsBrain_-_Eros_Scribe-7b-gguf

Name: OmnicromsBrain_-_Eros_Scribe-7b-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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Eros_Scribe-7b - GGUF

Model creator: https://huggingface.co/OmnicromsBrain/
Original model: https://huggingface.co/OmnicromsBrain/Eros_Scribe-7b/

Name	Quant method	Size
Eros_Scribe-7b.Q2_K.gguf	Q2_K	2.53GB
Eros_Scribe-7b.IQ3_XS.gguf	IQ3_XS	2.81GB
Eros_Scribe-7b.IQ3_S.gguf	IQ3_S	2.96GB
Eros_Scribe-7b.Q3_K_S.gguf	Q3_K_S	2.95GB
Eros_Scribe-7b.IQ3_M.gguf	IQ3_M	3.06GB
Eros_Scribe-7b.Q3_K.gguf	Q3_K	3.28GB
Eros_Scribe-7b.Q3_K_M.gguf	Q3_K_M	3.28GB
Eros_Scribe-7b.Q3_K_L.gguf	Q3_K_L	3.56GB
Eros_Scribe-7b.IQ4_XS.gguf	IQ4_XS	3.67GB
Eros_Scribe-7b.Q4_0.gguf	Q4_0	3.83GB
Eros_Scribe-7b.IQ4_NL.gguf	IQ4_NL	3.87GB
Eros_Scribe-7b.Q4_K_S.gguf	Q4_K_S	3.86GB
Eros_Scribe-7b.Q4_K.gguf	Q4_K	4.07GB
Eros_Scribe-7b.Q4_K_M.gguf	Q4_K_M	4.07GB
Eros_Scribe-7b.Q4_1.gguf	Q4_1	4.24GB
Eros_Scribe-7b.Q5_0.gguf	Q5_0	4.65GB
Eros_Scribe-7b.Q5_K_S.gguf	Q5_K_S	4.65GB
Eros_Scribe-7b.Q5_K.gguf	Q5_K	4.78GB
Eros_Scribe-7b.Q5_K_M.gguf	Q5_K_M	4.78GB
Eros_Scribe-7b.Q5_1.gguf	Q5_1	5.07GB
Eros_Scribe-7b.Q6_K.gguf	Q6_K	5.53GB
Eros_Scribe-7b.Q8_0.gguf	Q8_0	7.17GB

Original model description:

tags:

merge
mergekit
nsfw
OmnicromsBrain/EverythingBagel-DPO-7B
OmnicromsBrain/ToppyCox-7B base_model:
OmnicromsBrain/EverythingBagel-DPO-7B
OmnicromsBrain/ToppyCox-7B

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
- 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
- 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"])

RichardErkhov/OmnicromsBrain_-_Eros_Scribe-7b-gguf