Falcon 40B Code Alpaca Lora by jinaai

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  Adapter   Dataset:stanford alpaca   En   Finetuned   Lora   Region:us

Falcon 40B Code Alpaca Lora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon 40B Code Alpaca Lora (jinaai/falcon-40b-code-alpaca-lora)
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Falcon 40B Code Alpaca Lora Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation
Applications:
code generation
Primary Use Cases:
Code writing, Script automation
Additional Notes 
This model is fine-tuned using the LoRA technique, which reduces model size and memory requirements for deployment.
Supported Languages 
en (High proficiency)
Training Details 
Data Sources:
Code Alpaca 20k dataset
Methodology:
LoRA fine-tuning
Input Output 
Input Format:
Prompt-based input
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Use GPU for inference to speed up
LLM NameFalcon 40B Code Alpaca Lora
Repository ๐Ÿค—https://huggingface.co/jinaai/falcon-40b-code-alpaca-lora 
Model Size40b
Required VRAM0 GB
Updated2025-08-24
Maintainerjinaai
Model Files  0.0 GB
Supported Languagesen
Model ArchitectureAdapter
Licensecc-by-nc-4.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesquery_key_value
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 jinaai/falcon-40b-code-alpaca-lora.

Rank the Falcon 40B Code Alpaca 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124