Blurdus-7b-v0.1
Blurdus-7b-v0.1 is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: 222gate/Blurred-Beagle-7b-slerp
parameters:
density: [1, 0.7, 0.1] # density gradient
weight: 1.0
- model: 222gate/BrurryDog-7b-v0.1
parameters:
density: 0.5
weight: [0, 0.3, 0.7, 1] # weight gradient
- model: liminerity/Blur-7b-v1.21
parameters:
density: 0.33
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: ties
base_model: udkai/Turdus
parameters:
normalize: true
int8_mask: true
dtype: float16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "222gate/Blurdus-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. | 74.35 |
| AI2 Reasoning Challenge (25-Shot) | 72.27 |
| HellaSwag (10-Shot) | 88.50 |
| MMLU (5-Shot) | 64.82 |
| TruthfulQA (0-shot) | 69.72 |
| Winogrande (5-shot) | 82.95 |
| GSM8k (5-shot) | 67.85 |