BLOOM AAID Mixed Train Final by Holmeister

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BLOOM AAID Mixed Train Final Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BLOOM AAID Mixed Train Final (Holmeister/BLOOM_AAID_mixed_train_final)

BLOOM AAID Mixed Train Final Parameters and Internals

Training Details 
Data Sources:
AAID_mixed
LLM NameBLOOM AAID Mixed Train Final
Repository ๐Ÿค—https://huggingface.co/Holmeister/BLOOM_AAID_mixed_train_final 
Base Model(s)  Bloom 7b1   bigscience/bloom-7b1
Required VRAM0.1 GB
Updated2024-12-07
MaintainerHolmeister
Model Files  0.1 GB   0.0 GB
Model ArchitectureAdapter
Licensebigscience-bloom-rail-1.0
Is Biasednone
Tokenizer ClassBloomTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdense_h_to_4h|dense_4h_to_h|query_key_value|dense
LoRA Alpha16
LoRA Dropout0.1
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than Holmeister/BLOOM_AAID_mixed_train_final.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227