AtomGradient/Qwen3.5-9B-Chronos-4bit

ไธญๆ–‡็ฎ€ไป‹

Qwen3.5-9B-Chronos-4bit ๆ˜ฏไธ“ไธบ Neural Imprint Chronos ๆ‰“้€ ็š„็ซฏไพงๅŽŸ็”ŸๆŒ็ปญๅญฆไน ๏ผˆNative Continual Learning๏ผ‰ไธ“็”จๅŸบๅบงๆจกๅž‹๏ผŒ้œ€ๆญ่ฝฝ Chronos ไธ“็”จๅ†…ๆ ธ๏ผˆChronos Kernel๏ผ‰ ่ฟ่กŒใ€‚

ๆ ธๅฟƒ็‰นๆ€ง

  • ็ซฏไพงๅŽŸ็”ŸๆŒ็ปญๅญฆไน ๏ผšๆ— ้œ€ไบ‘็ซฏ่ฎญ็ปƒๆˆ–ๅๅ‘ไผ ๆ’ญๅพฎ่ฐƒ๏ผŒๅœจๆœฌๅœฐ่ฎพๅค‡่ฟ่กŒ่ฟ‡็จ‹ไธญๅณๅฏๅฎžๆ—ถๅธๆ”ถใ€ๆ›ดๆ–ฐไธŽๅทฉๅ›บ็”จๆˆท็š„้•ฟๆœŸๅๅฅฝใ€็”Ÿๆดปไน ๆƒฏใ€่ทจไบ‹ไปถๅ› ๆžœๅ…ณ่”ๅŠไธ“ๅฑžๅทฅๅ…ท่ฐƒ็”จๅ่ฎฎใ€‚
  • ๆ’ๅฎšไฝ“็งฏ่ฎฐๅฟ†ไธŽ่ทจ็ซฏๆต่ฝฌ๏ผšๆŒ็ปญๅญฆไน ไบง็”Ÿ็š„็”จๆˆท่ฎฐๅฟ†ไปฅๆ’ๅฎš่ถ…็ดงๅ‡‘็Šถๆ€ๅŒ…ๅฝขๅผๆŒไน…ๅŒ–๏ผŒไธ้šไบคไบ’่ฝฎๆฌก็บฟๆ€ง่†จ่ƒ€๏ผŒๆ”ฏๆŒๅœจๆ‰‹ๆœบใ€ๆกŒ้ขๅทฅไฝœ็ซ™ใ€ๆ™บ่ƒฝๅบง่ˆฑไธŽๅ…ท่บซ็ปˆ็ซฏไน‹้—ด็ง’็บง่ฟ็งปไธŽๆขๅคใ€‚
  • ๆ•ฐๆฎไธๅ‡บ็ซฏไธŽ็”จๆˆท่ต„ไบงไธปๆƒ๏ผšๆ‰€ๆœ‰ๅญฆไน ใ€ๅญ˜ๅ‚จไธŽๆŽจ็†ๅ…จ็จ‹ๅœจ็”จๆˆทๆœฌๅœฐ่ฎพๅค‡ๅฎŒๆˆ๏ผ›็Šถๆ€่ต„ไบงๅ—ๆœบไธปไธŽๅ†…ๆ ธๅŒ้‡ไธปๆƒไฟๆŠค๏ผŒ็กฎไฟไธชไบบ่ฎฐๅฟ†ๆ•ฐๆฎ็š„็ปๅฏน็งๅฏ†ๆ€งใ€‚

ไฝฟ็”จ่ฏดๆ˜Ž๏ผšๆœฌๆจกๅž‹ไธŽ Neural Imprint Chronos ไธ“็”จๅ†…ๆ ธ ๆทฑๅบฆๅๅŒ่€ฆๅˆ๏ผŒไธๆ”ฏๆŒ่„ฑ็ฆป Chronos ๅ†…ๆ ธ็›ดๆŽฅไฝฟ็”จ้€š็”จๆŽจ็†ๆก†ๆžถ่ฟ่กŒใ€‚


English Overview

Qwen3.5-9B-Chronos-4bit is a dedicated on-device backbone model purpose-built for Neural Imprint Chronos native continual learning. It requires the Chronos Kernel runtime to operate.

Key Capabilities

  • On-Device Native Continual Learning: Continuously learns, updates, and consolidates user preferences, temporal habits, multi-event causal context, and custom tool-calling protocols in real time on edge devicesโ€”without cloud retraining or gradient backpropagation.
  • Constant-Envelope Memory & Cross-Device Mobility: Continual learning states are persisted in an ultra-compact, constant-size state bundle with zero byte growth over time, enabling instant cold-start restoration and seamless migration across smartphones, desktops, vehicle cockpits, and embodied robotics.
  • Strict On-Device Privacy & User Sovereignty: User data physically never leaves the device. Learned memory states are cryptographically bound to the device owner and the Chronos runtime.

Runtime Requirement: This model is tightly coupled with the Neural Imprint Chronos Kernel and is not intended for standalone execution on generic inference runtimes without the Chronos kernel.

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