merge
mergekit
lazymergekit model-index:
name: StrangeMerges_53-7B-model_stock results:
- task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics:
  - type: acc_norm value: 72.78 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_53-7B-model_stock name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics:
  - type: acc_norm value: 88.46 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_53-7B-model_stock name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics:
  - type: acc value: 64.97 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_53-7B-model_stock name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics:
  - type: mc2 value: 73.86 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_53-7B-model_stock name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics:
  - type: acc value: 83.66 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_53-7B-model_stock name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics:
  - type: acc value: 72.71 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_53-7B-model_stock name: Open LLM Leaderboard

StrangeMerges_53-7B-model_stock

StrangeMerges_53-7B-model_stock is a merge of the following models using LazyMergekit:

🧩 Configuration

yaml

models:
  - model: Gille/StrangeMerges_52-7B-dare_ties
  - model: rwitz/experiment26-truthy-iter-0
  - model: Gille/StrangeMerges_32-7B-slerp
  - model: AurelPx/Percival_01-7b-slerp
  - model: Kukedlc/NeuralMaths-Experiment-7b
merge_method: model_stock
base_model: Gille/StrangeMerges_52-7B-dare_ties
dtype: bfloat16

💻 Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Gille/StrangeMerges_53-7B-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.	76.07
AI2 Reasoning Challenge (25-Shot)	72.78
HellaSwag (10-Shot)	88.46
MMLU (5-Shot)	64.97
TruthfulQA (0-shot)	73.86
Winogrande (5-shot)	83.66
GSM8k (5-shot)	72.71

RichardErkhov/Gille_-_StrangeMerges_53-7B-model_stock-8bits

Original model description:

StrangeMerges_53-7B-model_stock

🧩 Configuration

💻 Usage

Open LLM Leaderboard Evaluation Results

RichardErkhov/
Gille_-_StrangeMerges_53-7B-model_stock-8bits