solvrays/scribegene-llm-v1.1

TEXT GENERATIONConcurrency Cost:1Model Size:2.5BQuant:BF16Ctx Length:8kPublished:Apr 30, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

solvrays/scribegene-llm-v1.1 is a 2.5 billion parameter language model, fine-tuned by Solvrays from google/gemma-2b-it, specifically engineered for Zero-Hallucination Technical Retrieval. Optimized for deep contextual grounding on technical and architectural documentation, it prioritizes factual accuracy over generative speculation. With an 8192-token context length, this model excels at precise information extraction and analysis from structured documents, making it ideal for senior document AI applications.

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Scribegene LLM V1.1: Zero-Hallucination Technical Retrieval

solvrays/scribegene-llm-v1.1 is a specialized 2.5 billion parameter model, fine-tuned by Solvrays from google/gemma-2b-it, designed for high-precision technical document analysis. Its core innovation lies in Zero-Hallucination Technical Retrieval, ensuring factual accuracy by prioritizing documented information over speculative generation. The model is trained on proprietary technical and architectural documentation, providing deep contextual understanding within an 8192-token context window.

Key Capabilities

  • Technical Grounding: Focuses on factual documentation, minimizing generative speculation.
  • Chunk-Aware Memory: Optimized for processing overlapping document segments with a 256-token window.
  • Deterministic Precision: Best utilized with do_sample=False for consistent, architecturally accurate responses.
  • Hallucination Control: Trained to respond with 'Not Documented' or an empty response if information is unavailable, enhancing reliability.

Good For

  • Senior Document AI: Analyzing and extracting precise information from technical and architectural documents.
  • Factual Retrieval: Use cases requiring high-precision, verifiable answers from structured data.
  • Mitigating Hallucinations: Applications where factual integrity is paramount, such as regulatory compliance or critical system documentation.

This model is not intended for general conversation or creative writing, but rather as a specialized document analyst. Users should cross-verify critical numerical data with original source material.

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