L3 Templar R128 LoRA by kromcomp

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L3 Templar R128 LoRA Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3 Templar R128 LoRA (kromcomp/L3-Templar-r128-LoRA)

L3 Templar R128 LoRA Parameters and Internals

LLM NameL3 Templar R128 LoRA
Repository ๐Ÿค—https://huggingface.co/kromcomp/L3-Templar-r128-LoRA 
Base Model(s)  Llama 3 8B Instruct   Templar V1 8B   unsloth/llama-3-8b-Instruct   ChaoticNeutrals/Templar_v1_8B
Model Size8b
Required VRAM3.4 GB
Updated2025-03-03
Maintainerkromcomp
Model Files  3.4 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|o_proj|down_proj|q_proj|gate_proj|k_proj|v_proj
LoRA Alpha128
LoRA Dropout0
R Param128

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Note: green Score (e.g. "73.2") means that the model is better than kromcomp/L3-Templar-r128-LoRA.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227