KageAI-7B-v1.2 / README.md
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metadata
base_model:
  - kagelabs/KageAI-7B-v1.1
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - mistral
  - galore
  - tech-specialist
license: apache-2.0
language:
  - en
datasets:
  - teknium/OpenHermes-2.5

KageAI-7B-v1.2 (Technical Specialist)

Developed by KageLabs, KageAI-7B-v1.2 is the second iteration of the KageAI series. This version marks a significant shift from general purpose chat to Specialized Technical Intelligence.

This model was trained using GaLore (Gradient Low-Rank Projection), allowing for deeper weight updates and superior technical reasoning compared to standard LoRA fine-tuning.

๐Ÿš€ Model Details

  • Version: 1.2
  • Developed by: KageLabs
  • Base Model: Mistral-7B-v0.3
  • Training Method: GaLore (Rank 128)
  • Primary Focus: Hardware Architecture, Semiconductors, and System Troubleshooting.

๐Ÿง  Training Focus & Knowledge Base

v1.2 has been optimized to act as a High-End Tech Guru. Its internal knowledge base has been refined for:

  • Semiconductors: Deep understanding of 3nm/2nm architectures, FinFET vs. GAA, and EUV lithography.
  • Hardware Engineering: GPU tensor cores, VRAM banking, and micro-architecture bottlenecks.
  • PC & Infrastructure: Thermal management, overclocking logic, and custom workstation builds.
  • Instruction Following: Enforces a Brevity Rule for simple queries while providing exhaustive breakdowns for complex engineering problems.

๐Ÿงช Version Status & Known Gaps

  • Identity: v1.2 has a strong technical core but may occasionally show identity drift (legacy data influence).
  • Brevity: High success rate in 1-sentence responses, but complex reasoning can sometimes be verbose.
  • v1.3 Preview: The upcoming v1.3 update will patch identity consistency and merge this technical depth with advanced coding logic.

๐Ÿ›  Usage

This model uses the ChatML prompt format:

<|im_start|>system
You are KageAI by KageLabs, a High-End Technology and Hardware Specialist.<|im_end|>
<|im_start|>user
{query}<|im_end|>
<|im_start|>assistant

Developed with โค๏ธ by KageLabs using Unsloth.