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Posterllava V0 by posterllava

 »  All LLMs  »  posterllava  »  Posterllava V0   URL Share it on

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Posterllava V0 is an open-source language model by posterllava. Features: 13b LLM, VRAM: 26.6GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.12.

  Endpoints compatible   Llava   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/posterllava/posterllava_v0 

Posterllava V0 Benchmarks

LLME Score: 0.12293
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Posterllava V0 (posterllava/posterllava_v0)
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Posterllava V0 Parameters and Internals

LLM NamePosterllava V0
Repository 🤗https://huggingface.co/posterllava/posterllava_v0 
Model Size13b
Required VRAM26.6 GB
Updated2026-06-15
Maintainerposterllava
Model Typellava
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.8 GB: 3-of-3   0.0 GB
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Posterllava V0

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Context / RAM
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Llava V1.6 Vicuna 13B4K / 26.7 GB3659761
Evalalign V1.0 13B4K / 26.7 GB01
Table Llava V1.5 13B4K / 26.6 GB81
Peenoblanc 52 Llava4K / 26.7 GB60
Otterchecker4K / 26.7 GB52
Llava 13B Custom4K / 26.7 GB50
V Mllm 13B4K / 26.6 GB41
...roduct Taxonomy Llava V1.6 13B4K / 26.7 GB70
ASMv24K / 26.6 GB75717
Note: green Score (e.g. "73.2") means that the model is better than posterllava/posterllava_v0.

Rank the Posterllava V0 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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