model_index.json

{
  "_class_name": "EndustriChatbotPipeline",
  "_diffusers_version": "0.21.0",
  "_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
  "model_type": "industrial-cost-calculation",
  "pipeline_tag": "text-generation",
  "library_name": "transformers",
  "tags": [
    "industrial",
    "cost-calculation",
    "chatbot",
    "langchain",
    "fastapi",
    "document-processing",
    "turkish",
    "english"
  ],
  "language": ["tr", "en"],
  "license": "apache-2.0",
  "base_model": "HuggingFaceH4/zephyr-7b-beta",
  "model_name": "Endüstri Chatbot",
  "model_description": "Industrial cost calculation AI chatbot with document processing capabilities",
  "version": "1.0.0",
  "framework": {
    "name": "transformers",
    "version": "4.34.0"
  },
  "components": {
    "text_encoder": {
      "class_name": "LlamaTokenizer",
      "config_file": "tokenizer_config.json"
    },
    "text_decoder": {
      "class_name": "MistralForCausalLM",
      "config_file": "config.json"
    },
    "agent_executor": {
      "class_name": "LangChainAgent",
      "tools": [
        "labor_cost",
        "material_cost",
        "margin_calculation"
      ]
    },
    "document_processor": {
      "class_name": "DocumentProcessor",
      "supported_formats": [
        "pdf",
        "docx",
        "xlsx",
        "images"
      ]
    },
    "report_generator": {
      "class_name": "DocumentGenerator",
      "output_formats": [
        "word",
        "excel"
      ],
      "templates": [
        "maliyet_raporu",
        "teklif"
      ]
    }
  },
  "inference": {
    "parameters": {
      "max_new_tokens": 512,
      "temperature": 0.7,
      "top_p": 0.95,
      "repetition_penalty": 1.15,
      "do_sample": true
    },
    "hardware_requirements": {
      "min_ram": "8GB",
      "recommended_ram": "16GB",
      "gpu": "optional",
      "gpu_memory": "8GB+"
    }
  },
  "deployment": {
    "docker": {
      "image": "endustri-chatbot:latest",
      "port": 8000,
      "environment": {
        "MODEL_NAME": "HuggingFaceH4/zephyr-7b-beta",
        "DATABASE_URL": "sqlite:///./chatbot.db"
      }
    },
    "api": {
      "framework": "fastapi",
      "endpoints": [
        "/chat",
        "/documents/upload",
        "/documents/generate",
        "/documents/templates",
        "/health"
      ]
    }
  },
  "training": {
    "base_model": "HuggingFaceH4/zephyr-7b-beta",
    "fine_tuning": "none",
    "domain_adaptation": "industrial-cost-calculation",
    "languages": ["tr", "en"],
    "dataset_size": "proprietary"
  },
  "evaluation": {
    "metrics": {
      "cost_calculation_accuracy": 0.95,
      "response_time_avg": "1.5s",
      "document_processing_success": 0.92,
      "turkish_language_support": 0.98
    },
    "benchmarks": {
      "industrial_cost_dataset": {
        "accuracy": 0.95,
        "f1_score": 0.93
      },
      "document_analysis_dataset": {
        "precision": 0.91,
        "recall": 0.89
      }
    }
  },
  "usage": {
    "primary_use_cases": [
      "Industrial cost calculation",
      "Document analysis and processing",
      "Automated report generation",
      "Cost estimation and quotation"
    ],
    "supported_industries": [
      "Manufacturing",
      "Construction",
      "Engineering",
      "Project Management"
    ]
  },
  "limitations": [
    "Specialized for industrial cost calculations",
    "Primarily optimized for Turkish language",
    "Requires domain-specific knowledge for accurate results",
    "Performance depends on quality of input documents"
  ],
  "ethical_considerations": {
    "bias": "Model may have bias towards Turkish industrial practices",
    "privacy": "Processes potentially sensitive business documents",
    "transparency": "Cost calculations are explainable through tool usage"
  },
  "contact": {
    "repository": "https://github.com/your-username/EndüstriChatbot",
    "issues": "https://github.com/your-username/EndüstriChatbot/issues",
    "documentation": "https://github.com/your-username/EndüstriChatbot/blob/main/README.md"
  }
}