TinyMixtral 4x220M UniversalNER by Isotonic

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  Autotrain compatible Dataset:isotonic/universal ner... Dataset:universal-ner/pile-ner... Dataset:universal-ner/pile-ner...   En   Endpoints compatible   Mixtral   Moe   Ner   Region:us   Safetensors   Token classification

TinyMixtral 4x220M UniversalNER Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyMixtral 4x220M UniversalNER (Isotonic/TinyMixtral_4x220M-UniversalNER)

TinyMixtral 4x220M UniversalNER Parameters and Internals

Model Type 
text generation, Token Classification
Additional Notes 
This model is a work in progress (checkpoint step 8500).
Training Details 
Data Sources:
Universal-NER/Pile-NER-definition, Universal-NER/Pile-NER-type, Isotonic/Universal_ner_chatml
LLM NameTinyMixtral 4x220M UniversalNER
Repository ๐Ÿค—https://huggingface.co/Isotonic/TinyMixtral_4x220M-UniversalNER 
Model Size595.4m
Required VRAM2.4 GB
Updated2025-02-09
MaintainerIsotonic
Model Typemixtral
Model Files  2.4 GB   0.0 GB
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32128
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Isotonic/TinyMixtral_4x220M-UniversalNER.

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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 v20241227