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Binarized Ingotrix Slerp 7B by liminerity

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  Merged Model   Autotrain compatible Base model:eren23/dpo-binarize... Base model:liminerity/ingot-7b...   Endpoints compatible Eren23/dpo-binarized-neuraltri... Liminerity/ingot-7b-slerp-7-fo...   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Binarized Ingotrix Slerp 7B Benchmarks

ARC: 73.21 vs 96.7 (so35)-24.3%
HellaSwag: 88.64 vs 95.3 (gpt4)-7%
MMLU: 64.85 vs 88.3 (so35)-26.6%
TruthfulQA: 75.57 vs 59 (gpt4)28.1%
WinoGrande: 82.87 vs 87.5 (gpt4)-5.3%
GSM8K: 71.11 vs 96.4 (so35)-26.2%
LLME Score: 0.20064
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Binarized Ingotrix Slerp 7B Parameters and Internals

LLM NameBinarized Ingotrix Slerp 7B
Repository 🤗https://huggingface.co/liminerity/binarized-ingotrix-slerp-7b 
Base Model(s)  DPO Binarized NeuralTrix 7B   liminerity/Ingot-7b-slerp-7-forged   eren23/dpo-binarized-NeuralTrix-7B   liminerity/Ingot-7b-slerp-7-forged
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-09-16
Maintainerliminerity
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Binarized Ingotrix Slerp 7B (liminerity/binarized-ingotrix-slerp-7b)

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Note: green Score (e.g. "73.2") means that the model is better than liminerity/binarized-ingotrix-slerp-7b.

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