• Model creator: https://huggingface.co/sethuiyer/
• Original model: https://huggingface.co/sethuiyer/Chikuma_10.7B_v2/

Original model description:

• dpo datasets:
• argilla/distilabel-intel-orca-dpo-pairs base_model: sethuiyer/Chikuma_10.7B pipeline_tag: text-generation model-index:
• name: distilabled_Chikuma_10.7B 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: 66.38 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/distilabled_Chikuma_10.7B 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: 85.14 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/distilabled_Chikuma_10.7B 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: 64.7 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/distilabled_Chikuma_10.7B 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: 59.2 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/distilabled_Chikuma_10.7B 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: 79.4 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/distilabled_Chikuma_10.7B 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: 58.38 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/distilabled_Chikuma_10.7B name: Open LLM Leaderboard

Chikuma_10.7B - V2 (Enhanced with DPO) [For Experiments]

• sethuiyer/SynthIQ-7b
• openchat/openchat-3.5-0106

Dataset used for Fine Tuning

Chat Template

<|im_start|>GPT4 Correct system:
{system} Always use <|end_of_turn|> when you want to end the answer. <|im_end|>
<|im_start|>GPT4 Correct user:
{user}<|im_end|>
<|im_start|>GPT4 Correct Assistant:
{asistant}<|im_end|>

Nous Benchmark Evaluation

OpenLLM Leaderboard

Training Environment

• Hardware: Single A100 80GB GPU in a runpod, utilized for approximately 1.5 hours.
• Training Script: Accessible via Google Colab Notebook. Special thanks to mlabonne for providing the template.

Usage

Acknowledgements

• The Intel team for publishing a great open dataset and show how well it worked in the first place
• Teknium and NousResearch for their awesome work and models.
• Maxime for sharing such great resources.
• Argilla for publishing argilla/distilabel-intel-orca-dpo-pairs

Open LLM Leaderboard Evaluation Results