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Bloom 560M RLHF by TheTravellingEngineer

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  Autotrain compatible   Bloom   Endpoints compatible   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/TheTravellingEngineer/bloom-560m-RLHF 

Bloom 560M RLHF Benchmarks

ARC: 24.4 vs 96.7 (so35)-74.8%
HellaSwag: 36.96 vs 95.3 (gpt4)-61.2%
MMLU: 23.63 vs 88.3 (so35)-73.2%
TruthfulQA: 40.76 vs 59 (gpt4)-30.9%
WinoGrande: 53.12 vs 87.5 (gpt4)-39.3%
GSM8K: 0.3 vs 96.4 (so35)-99.7%
LLME Score: 0.19347
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Bloom 560M RLHF Parameters and Internals

Additional Notes 
This repo contains the merged fp16 model. Model prompt is similar to the original model.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
timdettmers/openassistant-guanaco
Methodology:
Finetuned using RLHF
LLM NameBloom 560M RLHF
Repository 🤗https://huggingface.co/TheTravellingEngineer/bloom-560m-RLHF 
Model Size560m
Required VRAM1.1 GB
Updated2024-12-04
MaintainerTheTravellingEngineer
Model Typebloom
Model Files  1.1 GB
Model ArchitectureBloomForCausalLM
Transformers Version4.32.0.dev0
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250880
Torch Data Typefloat16
Bloom 560M RLHF (TheTravellingEngineer/bloom-560m-RLHF)

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Note: green Score (e.g. "73.2") means that the model is better than TheTravellingEngineer/bloom-560m-RLHF.

Rank the Bloom 560M RLHF Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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