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DoubleBagel 57B V1.0 by TeeZee

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TeeZee/DoubleBagel-57B-v1.0 

DoubleBagel 57B V1.0 Benchmarks

MMLU Pro: 5.31
GPQA: 3.47
MUSR: 13.6
BBH: 5.52
IFEval: 23.36 vs 88 (so35)-73.5%
MATH Lvl 5: 0.98
LLME Score: 0.19036
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DoubleBagel 57B V1.0 (TeeZee/DoubleBagel-57B-v1.0)
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DoubleBagel 57B V1.0 Parameters and Internals

Additional Notes 
The model was created by merging pre-trained language models using Mergekit with a specific YAML configuration associated with the merge method and the use of float32 and bfloat16. The configuration includes slices and scaling parameters.
Training Details 
Methodology:
Merged using the passthrough merge method
LLM NameDoubleBagel 57B V1.0
Repository 🤗https://huggingface.co/TeeZee/DoubleBagel-57B-v1.0 
Merged ModelYes
Model Size57b
Required VRAM114.1 GB
Updated2025-09-28
MaintainerTeeZee
Model Typellama
Model Files  5.0 GB: 1-of-24   5.0 GB: 2-of-24   4.8 GB: 3-of-24   5.0 GB: 4-of-24   4.8 GB: 5-of-24   4.8 GB: 6-of-24   5.0 GB: 7-of-24   4.8 GB: 8-of-24   4.8 GB: 9-of-24   5.0 GB: 10-of-24   4.8 GB: 11-of-24   4.8 GB: 12-of-24   5.0 GB: 13-of-24   4.8 GB: 14-of-24   4.8 GB: 15-of-24   5.0 GB: 16-of-24   4.8 GB: 17-of-24   4.8 GB: 18-of-24   5.0 GB: 19-of-24   4.8 GB: 20-of-24   4.8 GB: 21-of-24   5.0 GB: 22-of-24   4.8 GB: 23-of-24   1.9 GB: 24-of-24
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Rank the DoubleBagel 57B V1.0 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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