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Llava V1.5 7B Qinstruct Preview V0.1 by teowu

 »  All LLMs  »  teowu  »  Llava V1.5 7B Qinstruct Preview V0.1   URL Share it on

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  Arxiv:2311.06783   Autotrain compatible Dataset:liuhaotian/llava-instr...   Dataset:teowu/q-instruct   En   Endpoints compatible   Instruct   Llava   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/teowu/llava_v1.5_7b_qinstruct_preview_v0.1 

Llava V1.5 7b Qinstruct Preview V0.1 Benchmarks

LLME Score: 0.14519
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava V1.5 7B Qinstruct Preview V0.1 (teowu/llava_v1.5_7b_qinstruct_preview_v0.1)

Llava V1.5 7B Qinstruct Preview V0.1 Parameters and Internals

Model Type 
multi-modality
Additional Notes 
This is a preview version with non-finalized weights.
Supported Languages 
en (fluent)
LLM NameLlava V1.5 7b Qinstruct Preview V0.1
Repository 🤗https://huggingface.co/teowu/llava_v1.5_7b_qinstruct_preview_v0.1 
Model Size7b
Required VRAM14.2 GB
Updated2025-02-05
Maintainerteowu
Model Typellava
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   4.2 GB: 2-of-2   0.0 GB
Supported Languagesen
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

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Note: green Score (e.g. "73.2") means that the model is better than teowu/llava_v1.5_7b_qinstruct_preview_v0.1.

Rank the Llava V1.5 7B Qinstruct Preview V0.1 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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