metadata
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:
- GreenNode/GreenNode-mini-7B-multilingual-v1olet
- KoboldAI/Mistral-7B-Holodeck-1
- FPHam/Sydney_Pirate_Mistral_7b
🧩 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"])