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Otterchecker by RodoBP

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Otterchecker is an open-source language model by RodoBP. Features: 13b LLM, VRAM: 26.7GB, Context: 4K, LLM Explorer Score: 0.14.

  Endpoints compatible   Llava llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RodoBP/otterchecker 

Otterchecker Benchmarks

LLME Score: 0.13714
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Otterchecker (RodoBP/otterchecker)
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Otterchecker Parameters and Internals

LLM NameOtterchecker
Repository 🤗https://huggingface.co/RodoBP/otterchecker 
Model Size13b
Required VRAM26.7 GB
Updated2026-03-12
MaintainerRodoBP
Model Typellava_llama
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   1.9 GB: 6-of-6
Model ArchitectureLlavaLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Llava V1.5 13B4K / 26 GB23647525
Evalalign V1.0 13B4K / 26.7 GB31
Table Llava V1.5 13B4K / 26.6 GB91
Peenoblanc 52 Llava4K / 26.7 GB60
Llava 13B Custom4K / 26.7 GB50
V Mllm 13B4K / 26.6 GB01
...roduct Taxonomy Llava V1.6 13B4K / 26.7 GB70
Posterllava V04K / 26.6 GB1277
Som Llava V1.5 13B4K / 26.7 GB65
Note: green Score (e.g. "73.2") means that the model is better than RodoBP/otterchecker.

Rank the Otterchecker 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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