README.md

metadata

license: apache-2.0
tags:
  - merge
  - mergekit
  - lazymergekit
  - RaduGabriel/MUZD
  - RaduGabriel/Mistral-Instruct-Ukrainian-SFT
  - Radu1999/MisterUkrainianDPO
  - CultriX/NeuralTrix-7B-dpo
base_model:
  - RaduGabriel/MUZD
  - RaduGabriel/Mistral-Instruct-Ukrainian-SFT
  - Radu1999/MisterUkrainianDPO
  - CultriX/NeuralTrix-7B-dpo
model-index:
  - name: SirUkrainian
    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: 67.32
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RaduGabriel/SirUkrainian
          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: 85.54
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RaduGabriel/SirUkrainian
          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: 63.14
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RaduGabriel/SirUkrainian
          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: 68.74
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RaduGabriel/SirUkrainian
          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: 81.53
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RaduGabriel/SirUkrainian
          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: 56.71
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RaduGabriel/SirUkrainian
          name: Open LLM Leaderboard

NeuralPipe-7B-slerp

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

• RaduGabriel/MUZD
• RaduGabriel/Mistral-Instruct-Ukrainian-SFT
• Radu1999/MisterUkrainianDPO
• CultriX/NeuralTrix-7B-dpo

🧩 Configuration

models:
  - model: RaduGabriel/MUZD
    parameters:
      weight: 0.3
  - model: RaduGabriel/Mistral-Instruct-Ukrainian-SFT
    parameters:
      weight: 0.3
  - model: Radu1999/MisterUkrainianDPO
    parameters:
      weight: 0.1
  - model: CultriX/NeuralTrix-7B-dpo
    parameters:
      weight: 0.3

merge_method: task_arithmetic
base_model: mistralai/Mistral-7B-v0.1
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "RaduGabriel/SirUkrainian"
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.bfloat16,
    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.	70.50
AI2 Reasoning Challenge (25-Shot)	67.32
HellaSwag (10-Shot)	85.54
MMLU (5-Shot)	63.14
TruthfulQA (0-shot)	68.74
Winogrande (5-shot)	81.53
GSM8k (5-shot)	56.71