Innovator-VL-Instruct-46M Paper | Code 🤗🤗 The data is being uploaded continuously Introduction To further enhance the model’s ability to handle a broad range of visual tasks with accurate, grounded, and instruction-aligned responses, we perform full-parameter visual instruction supervised fine-tuning (SFT).This SFT stage serves as a critical bridge between multimodal pretraining and subsequent reinforcement learning, providing both general capability coverage… See the full description on the dataset page: https://huggingface.co/datasets/InnovatorLab/Innovator-VL-Instruct-46M.
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quantumshield verify InnovatorLab/Innovator-VL-Instruct-46M pip install
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README.md
Innovator-VL-Instruct-46M
Innovator-VL-Instruct-46M Paper | Code 🤗🤗 The data is being uploaded continuously Introduction To further enhance the model’s ability to handle a broad range of visual tasks with accurate, grounded, and instruction-aligned responses, we perform full-parameter visual instruction supervised fine-tuning (SFT).This SFT stage serves as a critical bridge between multimodal pretraining and subsequent reinforcement learning, providing both general capability coverage… See the full description on the dataset page: https://huggingface.co/datasets/InnovatorLab/Innovator-VL-Instruct-46M.
Intended Uses
This model is registered on the QuantaMrkt quantum-safe registry. This model has not yet been PQC-verified.
Quick Start
# Install the CLI pip install quantumshield # Pull the model quantumshield pull InnovatorLab/Innovator-VL-Instruct-46M # Verify file integrity quantumshield verify InnovatorLab/Innovator-VL-Instruct-46M
About
Innovator-VL-Instruct-46M Paper | Code 🤗🤗 The data is being uploaded continuously Introduction To further enhance the model’s ability to handle a broad range of visual tasks with accurate, grounded, and instruction-aligned responses, we perform full-parameter visual instruction supervised fine-tuning (SFT).This SFT stage serves as a critical bridge between multimodal pretraining and subsequent reinforcement learning, providing both general capability coverage… See the full description on the dataset page: https://huggingface.co/datasets/InnovatorLab/Innovator-VL-Instruct-46M.
Get this model
Pull with QuantumShield
quantumshield pull InnovatorLab/Innovator-VL-Instruct-46M Verify signatures
quantumshield verify InnovatorLab/Innovator-VL-Instruct-46M