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Open Llama 13B Lora Cabra Adapter by Gustrd

 »  All LLMs  »  Gustrd  »  Open Llama 13B Lora Cabra Adapter   URL Share it on

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  Adapter Base model:adapter:vmware/open... Base model:vmware/open-llama-1... Dataset:gustrd/dolly-15k-libre...   Finetuned   Ggml   Instruct   Lora   Peft   Pt   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/Gustrd/open-llama-13b-lora-cabra-adapter 

Open Llama 13B Lora Cabra Adapter Benchmarks

LLME Score: 0.09663
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Open Llama 13B Lora Cabra Adapter (Gustrd/open-llama-13b-lora-cabra-adapter)
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Open Llama 13B Lora Cabra Adapter Parameters and Internals

Model Type 
Instruction tuning, LoRA adapter
Additional Notes 
The GGML version was created with llama.cpp "convert-lora-to-ggml.py".
Supported Languages 
Portuguese (Finetuned)
Training Details 
Data Sources:
Gustrd/dolly-15k-libretranslate-pt
Hardware Used:
One A4000 at Paperspace
Model Architecture:
LoRA adapter with Open-LLaMA
LLM NameOpen Llama 13B Lora Cabra Adapter
Repository 🤗https://huggingface.co/Gustrd/open-llama-13b-lora-cabra-adapter 
Base Model(s)  Open Llama 13B Open Instruct   VMware/open-llama-13b-open-instruct
Model Size13b
Required VRAM0 GB
Updated2025-09-23
MaintainerGustrd
Instruction-BasedYes
Model Files  0.0 GB   0.0 GB
Supported Languagespt
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAdapter
Licensecc-by-sa-3.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than Gustrd/open-llama-13b-lora-cabra-adapter.

Rank the Open Llama 13B Lora Cabra Adapter Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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