---
library_name: transformers
tags:
- unsloth
- trl
- sft
license: apache-2.0
datasets:
- Xilabs/PIPPA-alpaca
language:
- en
base_model: AetherResearch/Cerebrum-1.0-7b
model-index:
- name: Cerebrum-RP
  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: 59.3
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChavyvAkvar/Cerebrum-RP
      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: 82.89
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChavyvAkvar/Cerebrum-RP
      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: 62.5
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChavyvAkvar/Cerebrum-RP
      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: 42.97
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChavyvAkvar/Cerebrum-RP
      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: 78.69
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChavyvAkvar/Cerebrum-RP
      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: 38.89
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChavyvAkvar/Cerebrum-RP
      name: Open LLM Leaderboard
---

# Model Card for Cerebrum-RP

<!-- Provide a quick summary of what the model is/does. -->

This model is derivative version of [Cerebrum-1.0-7b](https://huggingface.co/AetherResearch/Cerebrum-1.0-7b) on [PIPPA Alpaca](https://huggingface.co/datasets/Xilabs/PIPPA-alpaca) datasets.

### Model Description

<!-- Provide a longer summary of what this model is. -->

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** [Habibullah Akbar](https://chavyv.pages.dev/)
- **Funded by [optional]:** [Creasoft ID](https://creasoft.id)
- **Shared by [optional]:** [Habibullah Akbar](https://chavyv.pages.dev/)
- **Model type:** Auto-regressive
- **Language(s) (NLP):** Mostly English
- **License:** Apache-2.0
- **Finetuned from model [optional]:** [Cerebrum-1.0-7b](https://huggingface.co/AetherResearch/Cerebrum-1.0-7b)


## Evaluation

<!-- This section describes the evaluation protocols and provides the results. -->

[Open LLM Leaderboard Results](https://huggingface.co/datasets/open-llm-leaderboard/details_ChavyvAkvar__Cerebrum-RP)