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Bloom 560M RLHF V2 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-v2 

Bloom 560M RLHF V2 Benchmarks

ARC: 26.45 vs 96.7 (so35)-72.6%
HellaSwag: 37.67 vs 95.3 (gpt4)-60.5%
MMLU: 23.95 vs 88.3 (so35)-72.9%
TruthfulQA: 43.51 vs 59 (gpt4)-26.3%
WinoGrande: 50.91 vs 87.5 (gpt4)-41.8%
GSM8K: 0.08 vs 96.4 (so35)-99.9%
LLME Score: 0.19285
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 V2 (TheTravellingEngineer/bloom-560m-RLHF-v2)

Bloom 560M RLHF V2 Parameters and Internals

Additional Notes 
This repo contains the merged fp16 model.
Training Details 
Data Sources:
Anthropic/hh-rlhf
Methodology:
Finetuned using RLHF
Input Output 
Input Format:
Model prompt is similar to the original model
LLM NameBloom 560M RLHF V2
Repository 🤗https://huggingface.co/TheTravellingEngineer/bloom-560m-RLHF-v2 
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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Note: green Score (e.g. "73.2") means that the model is better than TheTravellingEngineer/bloom-560m-RLHF-v2.

Rank the Bloom 560M RLHF V2 Capabilities

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Release v20241217
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