NeuralDaredevil-7B / README.md
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Add info about the prompt template (#4)
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metadata
license: cc-by-nc-4.0
tags:
  - merge
  - mergekit
  - lazymergekit
  - dpo
  - rlhf
  - mlabonne/example
base_model: mlabonne/Daredevil-7B
model-index:
  - name: NeuralDaredevil-7B
    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: 69.88
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/NeuralDaredevil-7B
          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: 87.62
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/NeuralDaredevil-7B
          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: 65.12
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/NeuralDaredevil-7B
          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: 66.85
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/NeuralDaredevil-7B
          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: 82.08
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/NeuralDaredevil-7B
          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: 73.16
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/NeuralDaredevil-7B
          name: Open LLM Leaderboard

NeuralDaredevil-7B

NeuralDaredevil-7B is a DPO fine-tune of mlabonne/Daredevil-7B using the argilla/distilabel-intel-orca-dpo-pairs preference dataset and my DPO notebook from this article.

Thanks Argilla for providing the dataset and the training recipe here. πŸ’ͺ

πŸ† Evaluation

Nous

The evaluation was performed using LLM AutoEval on Nous suite.

Model Average AGIEval GPT4All TruthfulQA Bigbench
mlabonne/NeuralDaredevil-7B πŸ“„ 59.39 45.23 76.2 67.61 48.52
mlabonne/Beagle14-7B πŸ“„ 59.4 44.38 76.53 69.44 47.25
argilla/distilabeled-Marcoro14-7B-slerp πŸ“„ 58.93 45.38 76.48 65.68 48.18
mlabonne/NeuralMarcoro14-7B πŸ“„ 58.4 44.59 76.17 65.94 46.9
openchat/openchat-3.5-0106 πŸ“„ 53.71 44.17 73.72 52.53 44.4
teknium/OpenHermes-2.5-Mistral-7B πŸ“„ 52.42 42.75 72.99 52.99 40.94

You can find the complete benchmark on YALL - Yet Another LLM Leaderboard.

Open LLM Leaderboard

Detailed results can be found here

Metric Value
Avg. 74.12
AI2 Reasoning Challenge (25-Shot) 69.88
HellaSwag (10-Shot) 87.62
MMLU (5-Shot) 65.12
TruthfulQA (0-shot) 66.85
Winogrande (5-shot) 82.08
GSM8k (5-shot) 73.16

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mlabonne/NeuralDaredevil-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"])

Prompt Tempalte

This model uses the same prompt template as mistralai/Mistral-7B-Instruct-v0.2

See instruction-format for more details

Built with Distilabel