Epfl Cs 522 Istari Mcqa Quant by xgampx

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  Arxiv:1910.09700   Adapter Base model:adapter:xgampx/epfl... Base model:xgampx/epfl-cs-522-...   Finetuned   Lora   Peft   Region:us   Safetensors

Epfl Cs 522 Istari Mcqa Quant Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Epfl Cs 522 Istari Mcqa Quant Parameters and Internals

LLM NameEpfl Cs 522 Istari Mcqa Quant
Repository ๐Ÿค—https://huggingface.co/xgampx/epfl-cs-522-istari-mcqa-quant 
Base Model(s)  Epfl Cs 522 Istari Mcqa   xgampx/epfl-cs-522-istari-mcqa
Required VRAM0 GB
Updated2025-06-09
Maintainerxgampx
Model Files  0.0 GB
Model ArchitectureAdapter
Model Max Length2048
Is Biasednone
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj
LoRA Alpha8
LoRA Dropout0.05
R Param16
Errorsreplace
Epfl Cs 522 Istari Mcqa Quant (xgampx/epfl-cs-522-istari-mcqa-quant)

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Note: green Score (e.g. "73.2") means that the model is better than xgampx/epfl-cs-522-istari-mcqa-quant.

Rank the Epfl Cs 522 Istari Mcqa Quant Capabilities

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