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Gemma 2 27B It FP8 by nm-testing

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Gemma 2 27B It FP8 Benchmarks

LLME Score: 0.24339
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma 2 27B It FP8 Parameters and Internals

LLM NameGemma 2 27B It FP8
Repository 🤗https://huggingface.co/nm-testing/gemma-2-27b-it-FP8 
Model Size27b
Required VRAM28.3 GB
Updated2024-10-12
Maintainernm-testing
Model Typegemma2
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   3.9 GB: 6-of-6
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.42.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Gemma 2 27B It FP8 (nm-testing/gemma-2-27b-it-FP8)

Quantized Models of the Gemma 2 27B It FP8

Model
Likes
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VRAM
Gemma 2 27B It 8bit1031828 GB

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...ma 2 27B It SimPO 37K 100steps8K / 54.7 GB14679
Note: green Score (e.g. "73.2") means that the model is better than nm-testing/gemma-2-27b-it-FP8.

Rank the Gemma 2 27B It FP8 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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