HoloViolet-7B-test3 / README.md
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tags:
  - merge
  - mergekit
  - lazymergekit
  - GreenNode/GreenNode-mini-7B-multilingual-v1olet
  - KoboldAI/Mistral-7B-Holodeck-1
  - FPHam/Sydney_Pirate_Mistral_7b
base_model:
  - GreenNode/GreenNode-mini-7B-multilingual-v1olet
  - KoboldAI/Mistral-7B-Holodeck-1
  - FPHam/Sydney_Pirate_Mistral_7b

HoloViolet-7B-test3

HoloViolet-7B-test3 is a merge of the following models using LazyMergekit:

🧩 Configuration

merge_method: task_arithmetic
base_model: mistralai/Mistral-7B-v0.1
models:
  - model: mistralai/Mistral-7B-v0.1
  - model: GreenNode/GreenNode-mini-7B-multilingual-v1olet
    parameters:
      weight: 0.69
  - model: KoboldAI/Mistral-7B-Holodeck-1
    parameters:
      weight: 0.42
  - model: FPHam/Sydney_Pirate_Mistral_7b
    parameters:
      weight: 0.21
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "son-of-man/HoloViolet-7B-test3"
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"])