model_details:
  name: Kirim1/Bert
  description: A multilingual instruction-following language model supporting 100+ languages with primary focus on English
  version: 1.0.0
  author: Kirim1
  license: apache-2.0
  model_type: bert
  base_model: BERT

model_characteristics:
  architecture: BertForCausalLM
  parameters: ~110M
  hidden_size: 768
  num_layers: 12
  num_attention_heads: 12
  vocab_size: 119547
  max_position_embeddings: 512
  context_window: 512

capabilities:
  primary_language: English
  supported_languages: 100+
  instruction_following: true
  text_generation: true
  multilingual_understanding: true
  cross_lingual_tasks: true

training:
  training_data: Multilingual corpus with English emphasis
  instruction_tuning: true
  optimization: Instruction-following and task completion

use_cases:
  - Natural language understanding
  - Text generation
  - Question answering
  - Text classification
  - Multilingual text processing
  - Instruction-following tasks
  - Cross-lingual information retrieval

limitations:
  - Performance varies across language families
  - Best results with English inputs
  - May require domain-specific fine-tuning
  - Limited performance on low-resource languages

ethical_considerations:
  - May reflect biases in training data
  - Requires careful deployment in production
  - Not suitable for sensitive decision-making without oversight
  - Regular monitoring recommended

technical_specifications:
  framework: PyTorch
  library: transformers
  minimum_transformers_version: 4.36.0
  precision: float32
  deployment: CPU and GPU compatible