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Orthogonal 2x7B Base by LoSboccacc

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Orthogonal 2x7B Base Benchmarks

ARC: 66.89 vs 96.7 (so35)-30.8%
HellaSwag: 85.54 vs 95.3 (gpt4)-10.2%
MMLU: 62.49 vs 88.3 (so35)-29.2%
TruthfulQA: 66 vs 59 (gpt4)11.9%
WinoGrande: 77.03 vs 87.5 (gpt4)-12%
GSM8K: 50.8 vs 96.4 (so35)-47.3%
LLME Score: 0.21553
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Orthogonal 2x7B Base Parameters and Internals

LLM NameOrthogonal 2x7B Base
Repository 🤗https://huggingface.co/LoSboccacc/orthogonal-2x7B-base 
Model Size12.9b
Required VRAM25.8 GB
Updated2024-09-16
MaintainerLoSboccacc
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   5.9 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16
Orthogonal 2x7B Base (LoSboccacc/orthogonal-2x7B-base)

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Note: green Score (e.g. "73.2") means that the model is better than LoSboccacc/orthogonal-2x7B-base.

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Instruction Following and Task Automation  
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Release v2024072803
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