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Dalio Pretrained Finetuned 30B Bs4 4e 6lr 2epoch Seed1 by Jellywibble

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  Autotrain compatible   Endpoints compatible   Finetuned   Opt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Jellywibble/dalio_pretrained_finetuned_30b-bs4-4e-6lr-2epoch-seed1 

Dalio Pretrained Finetuned 30b Bs4 4e 6lr 2epoch Seed1 Benchmarks

LLME Score: 0.05054
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dalio Pretrained Finetuned 30B Bs4 4e 6lr 2epoch Seed1 (Jellywibble/dalio_pretrained_finetuned_30b-bs4-4e-6lr-2epoch-seed1)
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Dalio Pretrained Finetuned 30B Bs4 4e 6lr 2epoch Seed1 Parameters and Internals

LLM NameDalio Pretrained Finetuned 30b Bs4 4e 6lr 2epoch Seed1
Repository 🤗https://huggingface.co/Jellywibble/dalio_pretrained_finetuned_30b-bs4-4e-6lr-2epoch-seed1 
Model Size30b
Required VRAM121.7 GB
Updated2025-03-13
MaintainerJellywibble
Model Typeopt
Model Files  9.7 GB: 1-of-13   9.9 GB: 2-of-13   9.9 GB: 3-of-13   9.9 GB: 4-of-13   9.9 GB: 5-of-13   9.9 GB: 6-of-13   9.9 GB: 7-of-13   9.9 GB: 8-of-13   9.9 GB: 9-of-13   9.9 GB: 10-of-13   9.9 GB: 11-of-13   9.9 GB: 12-of-13   3.1 GB: 13-of-13
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.25.0.dev0
Vocabulary Size50265
Torch Data Typefloat32
Activation Functionrelu

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Note: green Score (e.g. "73.2") means that the model is better than Jellywibble/dalio_pretrained_finetuned_30b-bs4-4e-6lr-2epoch-seed1.

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Release v20241124
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