GoldenMaiden-7B-model_stock
GoldenMaiden-7B-model_stock is a merge of the following models using LazyMergekit:
𧩠Configuration
models:
- model: ResplendentAI/Datura_7B
- model: ChaoticNeutrals/Eris_Remix_DPO_7B
- model: Endevor/InfinityRP-v1-7B
- model: BarraHome/Mistroll-7B-v2.2
merge_method: model_stock
base_model: Endevor/InfinityRP-v1-7B
dtype: bfloat16
π» Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "DreadPoor/GoldenMaiden-7B-model_stock"
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. | 75.57 |
AI2 Reasoning Challenge (25-Shot) | 73.21 |
HellaSwag (10-Shot) | 88.71 |
MMLU (5-Shot) | 64.96 |
TruthfulQA (0-shot) | 72.56 |
Winogrande (5-shot) | 85.16 |
GSM8k (5-shot) | 68.84 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard73.210
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.710
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.960
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard72.560
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard85.160
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard68.840