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WIBA Extract V1 by armaniii

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WIBA Extract V1 is an open-source language model by armaniii. Features: 8b LLM, VRAM: 6.1GB, Context: 8K, License: llama3.

  Arxiv:2405.00828   4-bit   Argument-mining Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Bitsandbytes   Claim-extraction   Computational-social-science   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Topic-extraction   Wiba
Model Card on HF 🤗: https://huggingface.co/armaniii/WIBA-Extract-V1 
WIBA Extract V1 (armaniii/WIBA-Extract-V1)
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WIBA Extract V1 Parameters and Internals

LLM NameWIBA Extract V1
Repository 🤗https://huggingface.co/armaniii/WIBA-Extract-V1 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM6.1 GB
Updated2026-07-07
Maintainerarmaniii
Model Typellama
Model Files  5.0 GB: 1-of-2   1.1 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.37.0
Tokenizer ClassPreTrainedTokenizerFast
Padding TokenĠINC
Vocabulary Size128256
Torch Data Typefloat16

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...otron 8B UltraLong 1M Instruct1048K / 32.1 GB74759
...xis Bookwriter Llama3.1 8B Sft1048K / 16.1 GB204
Note: green Score (e.g. "73.2") means that the model is better than armaniii/WIBA-Extract-V1.

Rank the WIBA Extract V1 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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