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LaMini Flan T5 248M Ct2 Int8 by jncraton

 »  All LLMs  »  jncraton  »  LaMini Flan T5 248M Ct2 Int8   URL Share it on

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  Arxiv:2304.14402 Base model:finetune:google/fla...   Base model:google/flan-t5-base   En   Endpoints compatible   Generated from trainer   Instruct   Region:us
Model Card on HF 🤗: https://huggingface.co/jncraton/LaMini-Flan-T5-248M-ct2-int8 

LaMini Flan T5 248M Ct2 Int8 Benchmarks

LLME Score: 0.08688
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LaMini Flan T5 248M Ct2 Int8 (jncraton/LaMini-Flan-T5-248M-ct2-int8)
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LaMini Flan T5 248M Ct2 Int8 Parameters and Internals

Model Type 
text2text-generation
Use Cases 
Areas:
Response to human instructions written in natural language
Primary Use Cases:
Text generation
Limitations:
More information needed
Training Details 
Data Sources:
LaMini-instruction dataset
Data Volume:
2.58M samples
Methodology:
Fine-tuning from base model
Model Architecture:
Flan-T5
Input Output 
Input Format:
Natural language prompts
Accepted Modalities:
text
Output Format:
Generated text response
LLM NameLaMini Flan T5 248M Ct2 Int8
Repository 🤗https://huggingface.co/jncraton/LaMini-Flan-T5-248M-ct2-int8 
Base Model(s)  google/flan-t5-base   google/flan-t5-base
Model Size248m
Required VRAM0.2 GB
Updated2025-10-24
Maintainerjncraton
Model Files  0.2 GB
Supported Languagesen
Model ArchitectureAutoModel
Licensecc-by-nc-4.0
Model Max Length512
Tokenizer ClassT5Tokenizer
Padding Token<pad>

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Tinymistralredq0K / 0.2 GB380
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Note: green Score (e.g. "73.2") means that the model is better than jncraton/LaMini-Flan-T5-248M-ct2-int8.

Rank the LaMini Flan T5 248M Ct2 Int8 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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