metadata

language:
  - ja
tags:
  - merge
  - mergekit
  - lazymergekit
  - SakanaAI/EvoLLM-JP-A-v1-7B
  - stabilityai/japanese-stablelm-base-gamma-7b
base_model:
  - SakanaAI/EvoLLM-JP-A-v1-7B
  - stabilityai/japanese-stablelm-base-gamma-7b

Hinoki-Sak-slerp-7B

Hinoki-Sak-slerp-7B is a merge of the following models using using LazyMergekit of Maxime Labonne powered by MergeKit of Arcee AI:

SakanaAI/EvoLLM-JP-A-v1-7B (Base model)
stabilityai/japanese-stablelm-base-gamma-7b

🧩 Configuration

slices:
  - sources:
      - model: SakanaAI/EvoLLM-JP-A-v1-7B
        layer_range: [0, 32]
      - model: stabilityai/japanese-stablelm-base-gamma-7b
        layer_range: [0, 32]
merge_method: slerp
base_model: SakanaAI/EvoLLM-JP-A-v1-7B
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

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "AkimfromParis/Hinoki-Sak-slerp-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"])

Citation

@article{goddard2024arcee,
  title={Arcee's MergeKit: A Toolkit for Merging Large Language Models},
  author={Goddard, Charles and Siriwardhana, Shamane and Ehghaghi, Malikeh and Meyers, Luke and Karpukhin, Vlad and Benedict, Brian and McQuade, Mark and Solawetz, Jacob},
  journal={arXiv preprint arXiv:2403.13257},
  year={2024}
}

arxiv.org/abs/2403.13257