Ypotryll 22B Qlora by chargoddard

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  Merged Model   Adapter Base model:adapter:chargoddard... Base model:chargoddard/llama2-...   Dataset:ehartford/dolphin Dataset:ehartford/wizard vicun... Dataset:ehartford/wizardlm evo... Dataset:jondurbin/airoboros-gp... Dataset:openai/summarize from ...   Finetuned   Instruct   Llama   Lora   Peft   Region:us

Ypotryll 22B Qlora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ypotryll 22B Qlora (chargoddard/ypotryll-22b-qlora)
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Ypotryll 22B Qlora Parameters and Internals

LLM NameYpotryll 22B Qlora
Repository ๐Ÿค—https://huggingface.co/chargoddard/ypotryll-22b-qlora 
Base Model(s)  Llama2 22B Blocktriangular   chargoddard/llama2-22b-blocktriangular
Merged ModelYes
Model Size22b
Required VRAM2.6 GB
Updated2025-08-31
Maintainerchargoddard
Instruction-BasedYes
Model Files  2.6 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|gate_proj|down_proj|k_proj|q_proj|o_proj|up_proj
LoRA Alpha16
LoRA Dropout0.001
R Param128

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Note: green Score (e.g. "73.2") means that the model is better than chargoddard/ypotryll-22b-qlora.

Rank the Ypotryll 22B Qlora Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124