FiLLM3 NER by jobenriquez

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FiLLM3 NER is an open-source language model by jobenriquez. Features: 8.5b LLM, VRAM: 17.1GB, Context: 8K, LLM Explorer Score: 0.16.

  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow

FiLLM3 NER Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

FiLLM3 NER Parameters and Internals

LLM NameFiLLM3 NER
Repository 🤗https://huggingface.co/jobenriquez/FiLLM3-NER 
Model Size8.5b
Required VRAM17.1 GB
Updated2024-11-09
Maintainerjobenriquez
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jobenriquez/FiLLM3-NER.

Rank the FiLLM3 NER Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20260328a