Cerebrum-RP / README.md
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---
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)