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NSFWDPONoromaid-7b-Mistral-7B-Instruct-v0.1 - GGUF

• Model creator: https://huggingface.co/MaziyarPanahi/
• Original model: https://huggingface.co/MaziyarPanahi/NSFWDPONoromaid-7b-Mistral-7B-Instruct-v0.1/

Original model description:

• Safetensors
• mistral
• text-generation-inference
• merge
• mistral
• 7b
• mistralai/Mistral-7B-Instruct-v0.1
• athirdpath/NSFWDPONoromaid-7b
• transformers
• safetensors
• mistral
• text-generation
• en
• dataset:athirdpath/DPOPairs-Roleplay-Alpaca-NSFW-v2
• dataset:athirdpath/DPOPairs-Roleplay-Alpaca-NSFW
• license:cc-by-nc-4.0
• autotraincompatible
• endpointscompatible
• has_space
• text-generation-inference
• region:us

NSFWDPONoromaid-7b-Mistral-7B-Instruct-v0.1

NSFWDPONoromaid-7b-Mistral-7B-Instruct-v0.1 is a merge of the following models:

• mistralai/Mistral-7B-Instruct-v0.1
• athirdpath/NSFWDPONoromaid-7b

🧩 Configuration

slices:
  - sources:
      - model: mistralai/Mistral-7B-Instruct-v0.1
        layer_range: [0, 32]
      - model: athirdpath/NSFWDPONoromaid-7b
        layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-Instruct-v0.1
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

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "MaziyarPanahi/NSFWDPONoromaid-7b-Mistral-7B-Instruct-v0.1"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.applychattemplate(messages, tokenize=False, addgenerationprompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)

outputs = pipeline(prompt, maxnewtokens=256, dosample=True, temperature=0.7, topk=50, top_p=0.95)
print(outputs[0]["generated_text"])