Konstanta-7B/README.md

language, license, tags, base_model, model-index

language	license	tags	base_model	model-index
en	apache-2.0	merge mergekit lazymergekit maywell/PiVoT-0.1-Evil-a mlabonne/NeuralOmniBeagle-7B-v2 roleplay rp not-for-all-audiences	maywell/PiVoT-0.1-Evil-a mlabonne/NeuralOmniBeagle-7B-v2	name results Konstanta-7B task dataset metrics source type name text-generation Text Generation name type config split args AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test num_few_shot 25 type value name acc_norm 70.05 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type split args HellaSwag (10-Shot) hellaswag validation num_few_shot 10 type value name acc_norm 87.5 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU (5-Shot) cais/mmlu all test num_few_shot 5 type value name acc 65.06 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args TruthfulQA (0-shot) truthful_qa multiple_choice validation num_few_shot 0 type value mc2 65.43 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args Winogrande (5-shot) winogrande winogrande_xl validation num_few_shot 5 type value name acc 82.16 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args GSM8k (5-shot) gsm8k main test num_few_shot 5 type value name acc 71.04 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-7B Open LLM Leaderboard

Konstanta-7B

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

• maywell/PiVoT-0.1-Evil-a
• mlabonne/NeuralOmniBeagle-7B-v2

This is a test merge that is supposed to improve Kunoichi by merging it with new Beagle model and PiVoT Evil, which both show good performance. Even though the model's name is in Russian, it is not really capable of properly using it, as it was not the main goal of the model.

🧩 Configuration

merge_method: dare_ties
dtype: bfloat16
parameters:
  int8_mask: true
base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
models:
  - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
  - model: maywell/PiVoT-0.1-Evil-a
    parameters:
      density: 0.65
      weight: 0.15
  - model: mlabonne/NeuralOmniBeagle-7B-v2
    parameters:
      density: 0.85
      weight: 0.45

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Inv/Konstanta-7B"
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.	73.54
AI2 Reasoning Challenge (25-Shot)	70.05
HellaSwag (10-Shot)	87.50
MMLU (5-Shot)	65.06
TruthfulQA (0-shot)	65.43
Winogrande (5-shot)	82.16
GSM8k (5-shot)	71.04