Llava Mistral 7B Tokenizer by lmms-lab

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Llava Mistral 7B Tokenizer is an open-source language model by lmms-lab. Features: 7b LLM, Context: 32K, Instruction-Based, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Instruct   Llava mistral   Region:us

Llava Mistral 7B Tokenizer Benchmarks

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

Llava Mistral 7B Tokenizer Parameters and Internals

LLM NameLlava Mistral 7B Tokenizer
Repository 🤗https://huggingface.co/lmms-lab/llava-mistral-7b-tokenizer 
Model Size7b
Updated2026-05-13
Maintainerlmms-lab
Model Typellava_mistral
Instruction-BasedYes
Model ArchitectureLlavaMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.3
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 lmms-lab/llava-mistral-7b-tokenizer.

Rank the Llava Mistral 7B Tokenizer Capabilities

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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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Release v20260328a