README.md

metadata

base_model:
  - NousResearch/Hermes-2-Pro-Llama-3-8B
  - meta-llama/Meta-Llama-3-8B-Instruct
tags:
  - merge
  - mergekit
  - lazymergekit
  - NousResearch/Hermes-2-Pro-Llama-3-8B
  - meta-llama/Meta-Llama-3-8B-Instruct

pp_merge-8B

pp_merge-8B is a merge of the following models using LazyMergekit:

• NousResearch/Hermes-2-Pro-Llama-3-8B
• meta-llama/Meta-Llama-3-8B-Instruct

🧩 Configuration

slices:
- sources:
  - model: NousResearch/Hermes-2-Pro-Llama-3-8B
    layer_range:
    - 0
    - 32
  - model: meta-llama/Meta-Llama-3-8B-Instruct
    layer_range:
    - 0
    - 32
merge_method: slerp
base_model: meta-llama/Meta-Llama-3-8B-Instruct
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 = "pawan2411/pp_merge-8B"
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"])