CALLAII® model card · Callmenta
CALLAII® by CALLMENTA

CALLAII Edge Small Business v1 technical sheet

Language model · A compact CALLAII language model prepared to run on small businesses' own hardware.

CALLAII Edge Small Business v1 Live Released September 2026

CALLAII Edge Small Business is designed for businesses that want a compact CALLAII running on their own server. It automatically checks procedural requirements in legal questions and reads document images.

What improved in this version

  • First release
  • Procedural check in legal questions: performed in 67 out of 70 exam questions, none before training
  • Procedural check points improved from 9 to 57 across 70 questions
  • Text extraction and image description from document images were fully preserved after training

What it does

  • Legal: petition and contract drafting, procedural check on legal questions
  • Procedural check: competent and authorized court, conditions of action, and deadlines
  • Call center: call summary, customer response, and quality evaluation
  • Visual reading: understanding text and content in documents and screenshots

Limitations and responsible use

  • Generated text is a draft; petitions, contracts, and official documents must be approved by an authorized person
  • Must be used together with a legislation library for current laws, regulations, and rulings; the model's memory is not up to date
  • Audio recordings are transcribed with CALLAII ASR; this model is not used for speech recognition
  • Quality in languages other than Turkish has not been measured in as much detail as Turkish

Training and measurements

1Epoch
0,810 → 0,605Validation loss
In 67 out of 70 questionsProcedural check
Training data45,847 samples
Validation set200 samples never seen during training
Steps2,861 · 1 epoch · 16 samples per step
Training context4,096 tokens
Validation loss0.810 → 0.605
Exam70 procedural questions, same questions before and after training
Training dateSeptember 2026
Training and validation loss
Training loss Validation loss
0 1 2 3 0.2 0.4 0.6 0.8 1.0 Epoch Training loss Validation loss Training loss: 0.0 · 2.09 Training loss: 0.0 · 0.99 Training loss: 0.0 · 0.88 Training loss: 0.0 · 0.81 Training loss: 0.0 · 0.83 Training loss: 0.1 · 0.82 Training loss: 0.1 · 0.78 Training loss: 0.1 · 0.81 Training loss: 0.1 · 0.76 Training loss: 0.1 · 0.78 Training loss: 0.1 · 0.77 Training loss: 0.1 · 0.81 Training loss: 0.1 · 0.74 Training loss: 0.1 · 0.76 Training loss: 0.1 · 0.72 Training loss: 0.1 · 0.73 Training loss: 0.1 · 0.74 Training loss: 0.2 · 0.70 Training loss: 0.2 · 0.70 Training loss: 0.2 · 0.68 Training loss: 0.2 · 0.70 Training loss: 0.2 · 0.69 Training loss: 0.2 · 0.72 Training loss: 0.2 · 0.68 Training loss: 0.2 · 0.68 Training loss: 0.2 · 0.68 Training loss: 0.2 · 0.67 Training loss: 0.2 · 0.68 Training loss: 0.3 · 0.68 Training loss: 0.3 · 0.69 Training loss: 0.3 · 0.66 Training loss: 0.3 · 0.69 Training loss: 0.3 · 0.65 Training loss: 0.3 · 0.65 Training loss: 0.3 · 0.68 Training loss: 0.3 · 0.67 Training loss: 0.3 · 0.66 Training loss: 0.3 · 0.64 Training loss: 0.3 · 0.66 Training loss: 0.3 · 0.66 Training loss: 0.4 · 0.65 Training loss: 0.4 · 0.63 Training loss: 0.4 · 0.71 Training loss: 0.4 · 0.65 Training loss: 0.4 · 0.65 Training loss: 0.4 · 0.63 Training loss: 0.4 · 0.65 Training loss: 0.4 · 0.63 Training loss: 0.4 · 0.62 Training loss: 0.4 · 0.67 Training loss: 0.4 · 0.63 Training loss: 0.5 · 0.64 Training loss: 0.5 · 0.65 Training loss: 0.5 · 0.63 Training loss: 0.5 · 0.62 Training loss: 0.5 · 0.64 Training loss: 0.5 · 0.66 Training loss: 0.5 · 0.63 Training loss: 0.5 · 0.63 Training loss: 0.5 · 0.63 Training loss: 0.5 · 0.62 Training loss: 0.5 · 0.64 Training loss: 0.6 · 0.60 Training loss: 0.6 · 0.65 Training loss: 0.6 · 0.63 Training loss: 0.6 · 0.62 Training loss: 0.6 · 0.61 Training loss: 0.6 · 0.63 Training loss: 0.6 · 0.64 Training loss: 0.6 · 0.62 Training loss: 0.6 · 0.64 Training loss: 0.6 · 0.63 Training loss: 0.6 · 0.63 Training loss: 0.6 · 0.64 Training loss: 0.7 · 0.62 Training loss: 0.7 · 0.60 Training loss: 0.7 · 0.62 Training loss: 0.7 · 0.60 Training loss: 0.7 · 0.61 Training loss: 0.7 · 0.62 Training loss: 0.7 · 0.61 Training loss: 0.7 · 0.61 Training loss: 0.7 · 0.61 Training loss: 0.7 · 0.61 Training loss: 0.7 · 0.63 Training loss: 0.8 · 0.60 Training loss: 0.8 · 0.59 Training loss: 0.8 · 0.60 Training loss: 0.8 · 0.59 Training loss: 0.8 · 0.62 Training loss: 0.8 · 0.63 Training loss: 0.8 · 0.59 Training loss: 0.8 · 0.62 Training loss: 0.8 · 0.59 Training loss: 0.8 · 0.63 Training loss: 0.8 · 0.60 Training loss: 0.8 · 0.58 Training loss: 0.9 · 0.59 Training loss: 0.9 · 0.59 Training loss: 0.9 · 0.58 Training loss: 0.9 · 0.60 Training loss: 0.9 · 0.59 Training loss: 0.9 · 0.63 Training loss: 0.9 · 0.61 Training loss: 0.9 · 0.60 Training loss: 0.9 · 0.60 Training loss: 0.9 · 0.67 Training loss: 0.9 · 0.58 Training loss: 1.0 · 0.59 Training loss: 1.0 · 0.58 Training loss: 1.0 · 0.63 Training loss: 1.0 · 0.60 Training loss: 1.0 · 0.59 Training loss: 1.0 · 0.61 Training loss: 1.0 · 0.59 Validation loss: 0.1 · 0.78 Validation loss: 0.1 · 0.78 Validation loss: 0.2 · 0.70 Validation loss: 0.2 · 0.70 Validation loss: 0.3 · 0.68 Validation loss: 0.3 · 0.68 Validation loss: 0.3 · 0.66 Validation loss: 0.3 · 0.66 Validation loss: 0.4 · 0.65 Validation loss: 0.4 · 0.65 Validation loss: 0.5 · 0.65 Validation loss: 0.5 · 0.65 Validation loss: 0.6 · 0.64 Validation loss: 0.6 · 0.64 Validation loss: 0.6 · 0.64 Validation loss: 0.6 · 0.64 Validation loss: 0.7 · 0.62 Validation loss: 0.7 · 0.62 Validation loss: 0.8 · 0.61 Validation loss: 0.8 · 0.61 Validation loss: 0.8 · 0.61 Validation loss: 0.8 · 0.61 Validation loss: 0.9 · 0.61 Validation loss: 0.9 · 0.61 Validation loss: 1.0 · 0.60 Validation loss: 1.0 · 0.60 Validation loss: 1.0 · 0.61 Validation loss: 1.0 · 0.61

Each point is the average of 5 consecutive records.

Show values as a table
Training loss
0.012.0882
0.050.8227
0.100.7656
0.140.7346
0.180.6991
0.230.6836
0.270.6616
0.310.6667
0.360.6545
0.400.6291
0.450.6276
0.490.6401
0.530.6182
0.580.6186
0.620.6388
0.660.5980
0.710.6144
0.750.6025
0.800.6273
0.840.6025
0.880.6050
0.930.5961
0.970.6281
1.000.5878
Validation loss
0.140.7797
0.210.7025
0.280.6809
0.350.6608
0.420.6528
0.490.6549
0.560.6427
0.630.6439
0.700.6169
0.770.6117
0.840.6079
0.910.6055
0.980.6049
10.6050
Pre- and post-training exam
Before training After training
0% 25% 50% 75% 100% Court and juri… Procedural poi… Court and jurisdiction · Before training: 0.0% 0.0% Court and jurisdiction · After training: 95.7% 95.7% Procedural points · Before training: 12.9% 12.9% Procedural points · After training: 81.4% 81.4%

70 procedural questions, same questions before and after training.

Show values as a table
Before trainingAfter training
Court and jurisdiction0.0095.70
Procedural points12.9081.40

Technical sheet

Versionv1
ReleaseSeptember 2026
InputText and image
OutputText
LanguageTurkish-focused; responds in the same language for other languages
Runs onthe business's own server

Customer data is never used to train the models. This sheet was generated on 27.09.2026. See callmenta.com for the current version. Versions and improvements