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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: 0.19239
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bloom 560M RLHF (TheTravellingEngineer/bloom-560m-RLHF)

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
Updated2024-12-26
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

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Product Description Fr0K / 2.2 GB160
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Bloom 560M RLHF V20K / 1.1 GB11943
Bloom VMLU A Text0K / 0 GB70
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  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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