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metadata
language:
  - en
license: apache-2.0
tags:
  - text-generation-inference
  - transformers
  - mistral
  - gguf
base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit

Use this model Locally in Ollama

Step.1 Clone this Repo

git lfs install
git clone https://huggingface.co/mychen76/mistral_ocr2json_v3_chatml-GGUF

Step.2 Create a Ollama Modefile as follow

FROM mistral_ocr2json_v3_chatml-GGUF/mistral_ocr2json_v3_chatml-Q4_K_M.gguf
TEMPLATE """{{- if .System }}
<|system|>
{{ .System }}
</s>
{{- end }}
<|user|>
{{ .Prompt }}
</s>
<|assistant|>```json
"""
PARAMETER temperature 1.0
PARAMETER num_ctx 8192
PARAMETER stop "<|system|>"
PARAMETER stop "<|user|>"
PARAMETER stop "<|assistant|>"
PARAMETER stop "</s>"
SYSTEM """
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. 
Don't make up value not in the Input. Output must be a well-formed JSON object.
"""

Step.3 Create custom model in Ollama

ollama create mychen76-mistral-ocr2json-v3-chatml:latest -f Modelfile

Step.4 Test the Model in Ollama/OpenWeb UI

select model: mychen76-mistral-ocr2json-v3-chatml:latest

enter prompt text:

[ [[[188.0, 54.0], [453.0, 54.0], [453.0, 85.0], [188.0, 85.0]], ('The Lone Pine', 0.9998102188110352)], [[[194.0, 96.0], [449.0, 98.0], [449.0, 122.0], [194.0, 120.0]], ('43 Manchester Road', 0.9988968372344971)], [[[228.0, 127.0], [416.0, 130.0], [416.0, 154.0], [228.0, 151.0]], ('12480 Brisbane', 0.9658010601997375)], [[[267.0, 162.0], [375.0, 162.0], [375.0, 186.0], [267.0, 186.0]], ('Australia', 0.9997145533561707)], [[[234.0, 193.0], [409.0, 193.0], [409.0, 216.0], [234.0, 216.0]], ('617-3236-6207', 0.9996874332427979)], [[[46.0, 255.0], [308.0, 255.0], [308.0, 278.0], [46.0, 278.0]], ('Invoice 08000008', 0.9919923543930054)], [[[466.0, 255.0], [598.0, 255.0], [598.0, 278.0], [466.0, 278.0]], ('09/04/08', 0.9994747042655945)], [[[42.0, 283.0], [132.0, 283.0], [132.0, 311.0], [42.0, 311.0]], ('Table', 0.9969210624694824)], [[[174.0, 283.0], [214.0, 283.0], [214.0, 311.0], [174.0, 311.0]], ('25', 0.9997891783714294)], [[[514.0, 284.0], [601.0, 284.0], [601.0, 311.0], [514.0, 311.0]], ('12:45', 0.9964954257011414)], [[[67.0, 346.0], [291.0, 349.0], [291.0, 376.0], [67.0, 374.0]], ('2 Carlsberg Bottle', 0.9987921118736267)], [[[515.0, 346.0], [599.0, 346.0], [599.0, 372.0], [515.0, 372.0]], ('16.00', 0.9999278783798218)], [ [[69.0, 385.0], [395.0, 387.0], [395.0, 411.0], [69.0, 409.0]], ('3 Heineken Draft Standard.', 0.9832896590232849) ], [[[515.0, 384.0], [599.0, 384.0], [599.0, 409.0], [515.0, 409.0]], ('24.60', 0.9998160600662231)], [ [[71.0, 423.0], [391.0, 423.0], [391.0, 446.0], [71.0, 446.0]], ('1 Heineken Draft Half Liter.', 0.9641079306602478) ], [[[515.0, 421.0], [601.0, 421.0], [601.0, 450.0], [515.0, 450.0]], ('15.20', 0.9998868703842163)], [ [[69.0, 460.0], [430.0, 461.0], [430.0, 485.0], [69.0, 484.0]], ('2 Carlsberg Bucket (5 bottles).', 0.974445641040802) ], [[[515.0, 461.0], [599.0, 461.0], [599.0, 486.0], [515.0, 486.0]], ('80.00', 0.9999423027038574)], [ [[69.0, 498.0], [367.0, 500.0], [367.0, 524.0], [69.0, 522.0]], ('4 Grilled Chicken Breast.', 0.9773013591766357) ], [[[515.0, 499.0], [599.0, 499.0], [599.0, 524.0], [515.0, 524.0]], ('74.00', 0.9999669194221497)], [[[68.0, 534.0], [250.0, 537.0], [250.0, 562.0], [68.0, 560.0]], ('3 Sirloin Steak', 0.9997309446334839)], [[[515.0, 537.0], [599.0, 537.0], [599.0, 561.0], [515.0, 561.0]], ('96.00', 0.9999544024467468)], [[[67.0, 571.0], [162.0, 574.0], [161.0, 601.0], [67.0, 598.0]], ('1 Coke', 0.9997830390930176)], [[[530.0, 572.0], [602.0, 572.0], [602.0, 601.0], [530.0, 601.0]], ('3.50', 0.9999455213546753)], [[[69.0, 609.0], [219.0, 613.0], [218.0, 638.0], [68.0, 634.0]], ('5 Ice Cream', 0.9914276003837585)], [[[516.0, 611.0], [599.0, 611.0], [599.0, 637.0], [516.0, 637.0]], ('18.00', 0.9999335408210754)], [[[154.0, 664.0], [288.0, 664.0], [288.0, 688.0], [154.0, 688.0]], ('Subtotal', 0.9990750551223755)], [[[499.0, 664.0], [599.0, 664.0], [599.0, 688.0], [499.0, 688.0]], ('327.30', 0.9999768137931824)], [ [[155.0, 701.0], [397.0, 701.0], [397.0, 724.0], [155.0, 724.0]], ('Sales/Gov Tax - 5%', 0.9552016854286194) ], [[[514.0, 697.0], [601.0, 697.0], [601.0, 724.0], [514.0, 724.0]], ('16.36', 0.999823272228241)], [ [[155.0, 733.0], [419.0, 733.0], [419.0, 757.0], [155.0, 757.0]], ('Service Charge - 10%', 0.9921379089355469) ], [[[512.0, 728.0], [601.0, 731.0], [600.0, 759.0], [511.0, 757.0]], ('32.73', 0.9999620318412781)], [[[154.0, 775.0], [335.0, 775.0], [335.0, 799.0], [154.0, 799.0]], ('GRAND TOTAL', 0.9899482131004333)], [[[499.0, 778.0], [599.0, 778.0], [599.0, 802.0], [499.0, 802.0]], ('376.40', 0.9999797940254211)], [[[39.0, 831.0], [223.0, 831.0], [223.0, 859.0], [39.0, 859.0]], ('Thank you and', 0.9922393560409546)], [[[336.0, 831.0], [407.0, 831.0], [407.0, 860.0], [336.0, 860.0]], ('Cash', 0.9998616576194763)], [[[499.0, 831.0], [601.0, 831.0], [601.0, 859.0], [499.0, 859.0]], ('400.00', 0.9998554587364197)], [[[38.0, 866.0], [220.0, 862.0], [220.0, 891.0], [38.0, 895.0]], ('see you again!', 0.9798372983932495)], [[[336.0, 864.0], [438.0, 869.0], [437.0, 898.0], [335.0, 894.0]], ('Change', 0.9998979568481445)], [[[515.0, 867.0], [599.0, 867.0], [599.0, 892.0], [515.0, 892.0]], ('23.60', 0.9999337196350098)], [[[37.0, 901.0], [108.0, 901.0], [108.0, 930.0], [37.0, 930.0]], ('John', 0.9990785717964172)], [ [[73.0, 962.0], [569.0, 965.0], [569.0, 991.0], [73.0, 989.0]], ('Bring this bill back within the next 10 days', 0.9880552887916565) ], [ [[50.0, 1000.0], [591.0, 1000.0], [591.0, 1023.0], [50.0, 1023.0]], ("and get 15% discount on that day's food bill..", 0.9851154685020447) ] ]

Expect Result:

{   'store_name': 'The Lone Pine',
    'store_addr': "43 Manchester Road, Bardon, Queensland 4065Australia",
    'telephone': '(07)3236-6207',
    'date': '18/09/16',
    'time': '11:22am',
    'subtotal': '132.80',
    'tax': '6.65',
    'service': '50.35',
    'total': '194.75',
    'ignore': '',
    'tips': ''
}

Uploaded model

  • Developed by: mychen76
  • License: apache-2.0
  • Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit