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SLIMER by expertai

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SLIMER is an open-source language model by expertai. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.13.

  Arxiv:2407.01272   Conversational Dataset:universal-ner/pile-ner...   En   Endpoints compatible   Llama   Ner   Region:us   Safetensors   Sharded   Tensorflow   Zero-shot ner
Model Card on HF 🤗: https://huggingface.co/expertai/SLIMER 

SLIMER Benchmarks

LLME Score: 0.1346
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SLIMER (expertai/SLIMER)
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SLIMER Parameters and Internals

Model Type 
text-generation, zero-shot NER
Additional Notes 
Specifically instructed for zero-shot NER using a prompt enriched with DEFINITION and GUIDELINES.
Supported Languages 
en (Full support for English.)
Input Output 
Input Format:
Text chunk delimited by triple quotes and an instruction.
Accepted Modalities:
text
Output Format:
JSON list of Named Entity instances
Performance Tips:
Use DEFINITION and GUIDELINES to enrich prompts for better zero-shot NER.
LLM NameSLIMER
Repository 🤗https://huggingface.co/expertai/SLIMER 
Model Size7b
Required VRAM13.5 GB
Updated2026-05-08
Maintainerexpertai
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than expertai/SLIMER.

Rank the SLIMER 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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