StrangeMerges_5-7B-ties
StrangeMerges_5-7B-ties is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: mncai/mistral-7b-dpo-v5
# no parameters necessary for base model
- model: Gille/StrangeMerges_1-7B-slerp
parameters:
density: 0.5
weight: 0.4
- model: BarryFutureman/NeuralTurdusVariant1-7B
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: mncai/mistral-7b-dpo-v5
parameters:
normalize: true
dtype: float16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Gille/StrangeMerges_5-7B-ties"
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. | 73.89 |
AI2 Reasoning Challenge (25-Shot) | 71.67 |
HellaSwag (10-Shot) | 87.88 |
MMLU (5-Shot) | 64.91 |
TruthfulQA (0-shot) | 66.37 |
Winogrande (5-shot) | 83.66 |
GSM8k (5-shot) | 68.84 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard71.670
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard87.880
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.910
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard66.370
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard83.660
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard68.840