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FLAN OPT 1.3B LoRA by crumb

 »  All LLMs  »  crumb  »  FLAN OPT 1.3B LoRA   URL Share it on

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  Arxiv:2106.09685   Arxiv:2205.01068   Arxiv:2210.11416   Adapter   Dataset:sirneural/flan v2   Finetuned   Flan   Lora   Opt   Peft   Region:us
Model Card on HF 🤗: https://huggingface.co/crumb/FLAN-OPT-1.3b-LoRA 

FLAN OPT 1.3B LoRA Benchmarks

LLME Score: 0.07206
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FLAN OPT 1.3B LoRA (crumb/FLAN-OPT-1.3b-LoRA)
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FLAN OPT 1.3B LoRA Parameters and Internals

Model Type 
causal language model
Training Details 
Data Sources:
FLAN datasets, Low-rank adapters (r=16)
Data Volume:
4.2 million tokens
Methodology:
Finetuned with low-rank adapters
Context Length:
256
Model Architecture:
OPT
Input Output 
Input Format:
text prompts, chain-of-thought reasoning
Accepted Modalities:
text
Output Format:
text
LLM NameFLAN OPT 1.3B LoRA
Repository 🤗https://huggingface.co/crumb/FLAN-OPT-1.3b-LoRA 
Model Size1.3b
Required VRAM0 GB
Updated2025-08-18
Maintainercrumb
Model Files  0.0 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha32
LoRA Dropout0.1
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than crumb/FLAN-OPT-1.3b-LoRA.

Rank the FLAN OPT 1.3B LoRA 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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