Co Instruct Llava V1.5 7B by q-future

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  Arxiv:2402.16641   Autotrain compatible Dataset:q-future/co-instruct-d...   Endpoints compatible   Instruct   Llava llama   Region:us   Safetensors   Sharded   Tensorflow

Co Instruct Llava V1.5 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Co Instruct Llava V1.5 7B (q-future/co-instruct-llava-v1.5-7b)

Co Instruct Llava V1.5 7B Parameters and Internals

Model Type 
Facilitator for LLaVA structure
Use Cases 
Areas:
Facilitating users who prefer LLaVA structure
Limitations:
Not very friendly to multi-image scenarios
Training Details 
Data Sources:
q-future/Co-Instruct-DB
Data Volume:
562K
LLM NameCo Instruct Llava V1.5 7B
Repository ๐Ÿค—https://huggingface.co/q-future/co-instruct-llava-v1.5-7b 
Model Size7b
Required VRAM14.1 GB
Updated2025-01-19
Maintainerq-future
Model Typellava_llama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.2 GB: 3-of-3   0.0 GB
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
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 q-future/co-instruct-llava-v1.5-7b.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227