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Mixtral_AI_MiniTronVision-AWQ

Image-Text-to-Text
Transformers
Safetensors
English
mistral
text-generation
4-bit precision
AWQ
Inference Endpoints
vision
conversational
text-generation-inference
awq
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Mixtral_AI_MiniTronVision-AWQ / README.md
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metadata
base_model: LeroyDyer/Mixtral_AI_MiniTronVision
language:
  - en
library_name: transformers
tags:
  - 4-bit
  - AWQ
  - text-generation
  - autotrain_compatible
  - endpoints_compatible
  - vision
pipeline_tag: image-text-to-text
inference: false
quantized_by: Suparious

LeroyDyer/Mixtral_AI_MiniTronVision AWQ

Model Summary

ADD HEAD 




print('Add Vision...')
# ADD HEAD
# Combine pre-trained encoder and pre-trained decoder to form a Seq2Seq model



Vmodel = VisionEncoderDecoderModel.from_encoder_decoder_pretrained(
    "google/vit-base-patch16-224-in21k", "LeroyDyer/Mixtral_AI_Tiny"
)
_Encoder_ImageProcessor = Vmodel.encoder
_Decoder_ImageTokenizer = Vmodel.decoder
_VisionEncoderDecoderModel = Vmodel
# Add Pad tokems
LM_MODEL.VisionEncoderDecoder = _VisionEncoderDecoderModel
# Add Sub Components
LM_MODEL.Encoder_ImageProcessor = _Encoder_ImageProcessor
LM_MODEL.Decoder_ImageTokenizer = _Decoder_ImageTokenizer
LM_MODEL