ankitkushwaha90/tech3space3-0.6B

Hugging Face
TEXT GENERATIONConcurrent Unit Cost:1Model Size:0.8BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 16, 2026Architecture:Transformer Featherless Exclusive Warm

The ankitkushwaha90/tech3space3-0.6B model is a Qwen3-0.6B base model fine-tuned by AnkitKushwaha90 and Tech3Space. This fully fine-tuned model, updating all parameters, specializes in knowledge related to AnkitKushwaha90's cybersecurity and AI research, the Tech3Space platform, and in-depth Kundalini spiritual knowledge. It is designed for instruction following, natural language understanding, and code generation, making it suitable for research assistance and educational use cases.

Loading preview...

Overview

ankitkushwaha90/tech3space3-0.6B is a fully fine-tuned Large Language Model based on Qwen3-0.6B, developed by AnkitKushwaha90 and Tech3Space. Unlike parameter-efficient methods, this model underwent Full Fine-Tuning (FFT), updating all model parameters to achieve deeper adaptation to its target knowledge domains. The project aims to demonstrate comprehensive LLM training lifecycle and inspire further research.

Key Capabilities

  • Specialized Knowledge: Responds accurately on topics related to AnkitKushwaha90 (cybersecurity, AI research), the Tech3Space platform, and extensive Kundalini spiritual knowledge (energy, chakras, nakshatras, rashis, Hindi months, awakening practices).
  • Full Fine-Tuning: All model weights were updated, allowing for deeper domain adaptation, improved consistency, and stronger domain-specific performance.
  • Instruction Following: Designed to understand and execute instructions effectively.
  • Natural Language Understanding: Excels in comprehending and generating human-like text.
  • Code Generation Support: Provides assistance with coding tasks.
  • Research & Educational Assistance: Supports AI research, educational use cases, and knowledge retrieval.

Good For

  • Domain-Specific Chatbots: Creating conversational agents focused on cybersecurity, AI research, or spiritual knowledge.
  • Educational Tools: Developing assistants for learning about the specified knowledge domains.
  • Coding Assistance: Generating code snippets or explaining programming concepts.
  • Research & Experimentation: Exploring the effects of full fine-tuning on specialized datasets and contributing to open-source AI development.

Limitations

Like all language models, responses may contain inaccuracies and should be verified. It is not intended for high-risk decision-making.

Finetunes
1 models