SLT-AI/SLT-0.5b-GoToSpeak

TEXT GENERATIONConcurrent Unit Cost:1Model Size:0.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 19, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

SLT-AI/SLT-0.5b-GoToSpeak is a 0.5 billion parameter conversational model built upon the Qwen2.5-0.5B architecture. It has been fine-tuned on 7500 examples, specializing in bilingual conversational dialogues (Russian and English), up-to-date general knowledge, simple Python coding, and basic mathematics with step-by-step explanations. This model is optimized for interactive chat applications requiring compact size and diverse, practical knowledge.

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SLT-0.5b-GoToSpeak: A Compact Conversational Model

SLT-0.5b-GoToSpeak is a small, 0.5 billion parameter language model developed by SLT-AI, based on the Qwen2.5-0.5B architecture. It has undergone Supervised Fine-Tuning (SFT) using a dataset of 7500 examples, specifically curated to enhance its conversational abilities and practical knowledge.

Key Capabilities

  • Bilingual Conversation: Proficient in generating conversational dialogues in both Russian and English.
  • General Knowledge: Incorporates up-to-date general knowledge, current as of 2025-2026.
  • Basic Coding: Capable of assisting with simple Python coding tasks.
  • Mathematical Explanations: Provides basic mathematical solutions accompanied by step-by-step explanations.

Good For

This model is particularly well-suited for applications requiring a compact yet versatile conversational AI. Its fine-tuning on diverse datasets makes it effective for:

  • Developing lightweight chatbots for customer support or general information.
  • Educational tools that require basic coding assistance or mathematical explanations.
  • Interactive applications needing bilingual conversational capabilities in Russian and English.

Finetunes
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