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Gemma 7B Openhermes V0.80 by lemon-mint

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  Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-1.1-7b...   Conversational   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Finetuned   Gemma   Instruct   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Gemma 7B Openhermes V0.80 Benchmarks

ARC: 54.35 vs 96.7 (so35)-43.8%
HellaSwag: 73.69 vs 95.3 (gpt4)-22.7%
MMLU: 56.2 vs 88.3 (so35)-36.4%
TruthfulQA: 47.06 vs 59 (gpt4)-20.2%
WinoGrande: 66.77 vs 87.5 (gpt4)-23.7%
GSM8K: 43.37 vs 96.4 (so35)-55%
LLME Score: 0.27813
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma 7B Openhermes V0.80 Parameters and Internals

LLM NameGemma 7B Openhermes V0.80
Repository 🤗https://huggingface.co/lemon-mint/gemma-7b-openhermes-v0.80 
Base Model(s)  google/gemma-1.1-7b-it   google/gemma-1.1-7b-it
Model Size7b
Required VRAM17 GB
Updated2024-09-16
Maintainerlemon-mint
Model Typegemma
Model Files  2.9 GB: 1-of-6   2.9 GB: 2-of-6   3.0 GB: 3-of-6   2.9 GB: 4-of-6   2.9 GB: 5-of-6   2.4 GB: 6-of-6
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Gemma 7B Openhermes V0.80 (lemon-mint/gemma-7b-openhermes-v0.80)

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Note: green Score (e.g. "73.2") means that the model is better than lemon-mint/gemma-7b-openhermes-v0.80.

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Release v2024072803
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