Edit model card

GarrulusMarcoro-7B-v0.1

GarrulusMarcoro-7B-v0.1 is a merge of the following models using LazyMergekit:

🧩 Configuration

slices:
  - sources:
      - model: udkai/Garrulus
        layer_range: [0, 32]
      - model: mlabonne/NeuralMarcoro14-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: udkai/Garrulus
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

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "dfurman/GarrulusMarcoro-7B-v0.1"
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. 74.20
AI2 Reasoning Challenge (25-Shot) 72.35
HellaSwag (10-Shot) 88.00
MMLU (5-Shot) 64.65
TruthfulQA (0-shot) 67.05
Winogrande (5-shot) 87.21
GSM8k (5-shot) 65.96
Downloads last month
752
Safetensors
Model size
7.24B params
Tensor type
BF16
Β·
Inference API
Model is too large to load in Inference API (serverless). To try the model, launch it on Inference Endpoints (dedicated) instead.

Merge of

Spaces using dfurman/GarrulusMarcoro-7B-v0.1 14

Collection including dfurman/GarrulusMarcoro-7B-v0.1

Evaluation results