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Atomic.Chat_2.0.23_x64_en-US.msi (116.1 MB)
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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| latest.json | 2026-08-05 | 2.4 kB | |
| Atomic.Chat_2.0.7_x64-setup.exe.sig | 2026-08-05 | 424 Bytes | |
| Atomic.Chat_2.0.7_x64_en-US.msi | 2026-08-05 | 112.3 MB | |
| Atomic.Chat_2.0.7_x64-setup.exe | 2026-08-05 | 75.6 MB | |
| Atomic.Chat.app.tar.gz | 2026-08-05 | 341.3 MB | |
| Atomic.Chat_2.0.7_universal.dmg | 2026-08-05 | 338.4 MB | |
| atomic-chat-mac-universal-2.0.7.zip | 2026-08-05 | 337.6 MB | |
| Atomic.Chat_2.0.7_amd64.AppImage.sig | 2026-08-05 | 424 Bytes | |
| Atomic.Chat_2.0.7_amd64.AppImage | 2026-08-05 | 228.1 MB | |
| Atomic Chat v2.0.7 source code.tar.gz | 2026-08-05 | 235.9 MB | |
| Atomic Chat v2.0.7 source code.zip | 2026-08-05 | 237.1 MB | |
| README.md | 2026-08-05 | 1.4 kB | |
| Totals: 12 Items | 1.9 GB | 1 | |
🚀 New Features
New models on llama.cpp TurboQuant
- DeepSeek V4 Flash 0731 — 284B MoE, 13B active, 1M context, re-post-trained for coding and agents
- Kimi K3 — 2.8T MoE, 104B active, 1M context. Native vision included
- Ling-3.0-flash — 124B hybrid-reasoning MoE, only 5.1B active per token
- LFM2.5-2.6B — fully on-device agentic model: plans, calls tools, 128K context
🔧 Improvements & Fixes
- AMD on Linux x64 now covers RDNA2–RDNA4 and CDNA on llama.cpp TurboQuant
- Synced with the latest upstream llama.cpp TurboQuant
- Engines now update on their own — the app detects your hardware and pulls the right TurboQuant build, so new engine releases land without waiting for an app update
- Autostart setting now actually sticks
- Downloads no longer fail when the pre-check does
- Clearer model-load errors, and recoverable ones now retry
- Windows: models in folders with non-Latin names now load
- MLX models with legacy or misnamed shards now load
- Favorites no longer list the same model twice
- Proper icon for the Codex integration
- Clearer wording around engine update checks
- Smaller UI and stability cleanups
🙏 Contributors
Thanks to @Vect0rM, @worthant, @yl-atomic for their contributions to this release!
