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Oot-v2_lll

Name: Oot-v2_lll
Availability: InStock

Oot-v2_lll is a merge of the following models using Mergekit:

🧩 Configuration

yaml

slices:
  - sources:
      - model: mlabonne/Marcoro14-7B-slerp
        layer_range: [0, 32]
      - model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
        layer_range: [0, 32]
merge_method: slerp
base_model: mlabonne/Marcoro14-7B-slerp
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

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "damerajee/Oot-v2_lll"
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"])

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	72.73
AI2 Reasoning Challenge (25-Shot)	69.28
HellaSwag (10-Shot)	86.60
MMLU (5-Shot)	64.96
TruthfulQA (0-shot)	62.57
Winogrande (5-shot)	80.82
GSM8k (5-shot)	72.18