Mistral7b Ocr To Json V1 by mychen76

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  Autotrain compatible   Dataset:dataset1   Dataset:dataset2   Endpoints compatible   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tag1   Tag2   Tensorflow

Mistral7b Ocr To Json V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral7b Ocr To Json V1 (mychen76/mistral7b_ocr_to_json_v1)

Mistral7b Ocr To Json V1 Parameters and Internals

Model Type 
OCR to JSON
Use Cases 
Areas:
Retail, Data Processing
Applications:
Invoice to JSON conversion, Receipt parsing
Primary Use Cases:
Convert OCR text to structured JSON objects for receipts
Additional Notes 
This model leverages outputs from OCR engines for efficient image-to-text use cases.
Supported Languages 
English (high proficiency), German (tested)
Training Details 
Data Sources:
mychen76/invoices-and-receipts_ocr_v1
Methodology:
Finetuned to convert OCR text to JSON objects.
Model Architecture:
Based on Mistral-7B-v0.1, finetuned for OCR to JSON conversion.
Input Output 
Input Format:
OCR image results
Accepted Modalities:
text
Output Format:
JSON object
LLM NameMistral7b Ocr To Json V1
Repository ๐Ÿค—https://huggingface.co/mychen76/mistral7b_ocr_to_json_v1 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-05
Maintainermychen76
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2   9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mistral7b Ocr To Json V1

Model
Likes
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VRAM
...cr To Json V1 HQQ 4bit Smashed054 GB
...cr To Json V1 Bnb 4bit Smashed0124 GB

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Note: green Score (e.g. "73.2") means that the model is better than mychen76/mistral7b_ocr_to_json_v1.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227