Strata 0.2.0-beta 最新

0.2.0: Strata is now an app, a Terminal and an engine; installers that carry the engine; pictures on by default on NVIDIA and AMD cards; faster defaults for NVIDIA 12-16 GB cards, AMD RX 9000 / R9700 on Linux and Intel Arc. Each new default below says whether the answers are identical to 0.1.45 (the identity gate) or change slightly, with the measured difference. Engine package version 0.1.45.3. Update with strata update (Terminal), Settings > Update (app), or UPDATE.bat / ./update.sh (source installs).

Which file to download

| System | Your graphics card | File | | --- | --- | --- | | Windows 10 / 11 | NVIDIA RTX, driver 580 or newer | Strata-0.2.0-beta-windows-cuda13.exe | | | NVIDIA, older card or driver older than 580 | Strata-0.2.0-beta-windows-cuda12.exe | | | AMD Radeon RX 9000 series or Radeon AI PRO R9700 | Strata-0.2.0-beta-windows-hip.exe | | Linux | NVIDIA RTX, driver 580 or newer | Strata-0.2.0-beta-linux-nvidia-cuda13.AppImage | | | NVIDIA, older card or driver older than 580 | Strata-0.2.0-beta-linux-nvidia-cuda12.AppImage | | | AMD Radeon RX 9000 series or Radeon AI PRO R9700 | Strata-0.2.0-beta-linux-amd-rx9070.AppImage | | | AMD Radeon RX 7000 series | Strata-0.2.0-beta-linux-amd-rx7900.AppImage | | Mac | Apple silicon, macOS 15 or newer | Strata-0.2.0-beta-mac.dmg (signed and notarised by Apple) |

The Terminal installs with one line (below) and picks its engine by itself. The other files in this release are the engine and Terminal packages, the signed update feed and the in-app update files; you do not need to download them.

What is new

Three parts that share one engine.

• The Strata app for Windows (installer), Linux (AppImage) and Mac (Apple silicon, macOS 15 or newer, .dmg). Chat with a coding agent that asks before it acts (Manual) or works freely (Bypass), web search, /loop, pictures pasted or dropped into the chat, a Models page, a Storage page, a choice of which graphics cards a model uses, two models on two GPUs, sharing with other devices (needs an API key first) and setup of your coding apps.
• The Terminal, one line to install (curl -fsSL https://github.com/Niko1221/Strata/releases/latest/download/install.sh | sh, irm https://github.com/Niko1221/Strata/releases/latest/download/install.ps1 | iex on Windows). strata launch is the guided flow (choose a model, tune it, serve it, watch it) and also runs without screens from flags; strata connect writes and checks the setup of OpenCode, Codex CLI, Claude Code, oh-my-pi, pi, Hermes Agent and OpenClaw; strata models, strata update, strata doctor and strata bench run are there too. The monitor strata launch opens has seven views, 1-7, the seventh is Connect. See docs/TERMINAL_LAUNCH.md.
• The engine, the part that talks to your card, is a separate package per platform and card. The installers carry one, so a new install starts a model without a download. Later engines come from a feed that is signed (Ed25519) and checked file by file, test-started before the switch and rolled back on any failure; models and saved tunings are never replaced. Update with strata update or Settings > Update. See packaging/UPDATES.md and SECURITY.md.
• A missing engine is a warning. strata launch and the app say in plain words what is missing and what to do next, and still download the model.
• Starting a model and serving never download anything; downloads are one explicit step.

Pictures are on by default on NVIDIA and AMD cards. The picture reader runs on the CPU for a card under 24 GB (a few seconds per picture, nothing taken from the card) and on the graphics card from 24 GB. NVIDIA, AMD and Intel follow the same rule; --vision gpu / --vision cpu / off still choose per model. AMD now has a GPU reader with an automatic CPU fallback (the server prints one line when the GPU reader cannot start). Measured on a Radeon AI PRO R9700: a 260-token picture 57 ms on the GPU reader against 3.13 s on the CPU, a 972-token picture 0.40 s against 14.1 s; the GPU reader keeps 1,470 MiB of VRAM. On a Radeon 780M 0.40 s against 2.42 s. Gyro and the NVFP4 models read pictures too (Gyro needs engine 0.1.45.1 or newer). The Mac app has no picture reader yet.

Models. Qwen3.6-35B-A3B has its three sizes in the app's catalog; the NVFP4 models have clear names. The app and strata launch now suggest a model by RAM and graphics memory together: 40 GB, Swift 1.5 IQ2_XS (or Gyro-M, slower); 48 GB, IQ3_XXS; 64 GB or more, IQ3_S (the original or Swift 1.5). With less memory, low-RAM mode starts by itself and the model runs slower.

Downloads are faster and checked. Big files come over 8 connections at once (on the test PC 40 MB/s with one connection, 77 MB/s with eight) and continue where they stopped. Every model file has a fixed SHA-256 and size, and a download stops if the pinned version is gone from Hugging Face. Once a model is downloaded, Strata runs without internet. What Strata downloads and when is in docs/SAFETY.md.

The app's chat. A finished page, document or picture opens in the sidebar by itself (the Open button opens it in your browser or default app). A chat without a chosen folder uses Documents/Strata/Workspace, so its files open and show in their folder. The first message no longer fails while the assistant's tools start, and sending with no model loaded says so.

New defaults, with what we measured

Every speed number below is a median of interleaved pairs against the previous default on the same box (a fresh engine per run); "pairs faster" counts the pairs the new default won. Each default has an off switch.

• NVIDIA RTX 30 / A-series (sm_86) and Pascal (sm_60): decode. A per-architecture table of nine (sm_86) and seven (sm_60) switches, picked by removing one at a time and keeping only those that cost speed when removed. RTX 3060 12 GB 60.36 to 66.52 tok/s (+10.2%, 8 of 8 pairs), RTX A4000 16 GB 51.16 to 57.82 (+13.0%, 8 of 8), Tesla P100 16 GB 36.56 to 41.76 (+14.2%, 8 of 8). Same answers: the fixed-flag identity gate (10 prompts, 4K and 20K exact prompt checks) is identical on all three. STRATA_SM86_PERF=0 / STRATA_SM60_PERF=0 turn the table off. We left a prompt chunk above 8192 off on NVIDIA (not bit-exact on CUDA) and STRATA_ROUTE_PRIOR=0.5 opt-in (KL 0.0126 against a run-to-run floor of 0.0012).
• AMD RX 9000 / R9700 (gfx12), Linux: prompt reading. The WMMA prompt attention and the fused Q2_0 prompt experts are on. On an R9700 32 GB, Q2_0: a 4K prompt 1,151 to 2,286 tok/s and a 20K prompt 1,384 to 2,751 (1.99x, 5 of 5 pairs). IQ3_XXS: 4K 1,369 to 1,436 (1.05x), 20K 1,576 to 1,997 (1.27x). Decode is untouched (0.999 like for like, same tokens). The text changes slightly: teacher-forced KL 0.0003 (28 prompts) and 0.0015 (long documents), task suites equal; with both on: HumanEval 155/164, reasoning 27/30, agent 6/6, needles 6/6, tool calls 5/5. STRATA_HIP_WMMA=0 and STRATA_PF_FUSED=0 turn them off. On Windows they stay opt-in until tested there.
• Intel Arc A-series (Alchemist): prompt reading. The XMX path (STRATA_PF_XMX=2) is the default. On an A750, 4K prompt 79.5 to 113.0 tok/s; by length (previous default / new) 1K 35.1 / 46.4, 2K 61.7 / 83.1, 6K 66.3 / 114.8. The logits equal those of the old opt-in; STRATA_PF_XMX=0 brings back the previous default bit for bit. Not for Battlemage (it loses 7-11% there).
• Intel Arc A750: a prompt deadlock is fixed. A prompt of about 5,000 tokens could hang the engine in the driver on pageable memory (the engine stopped, HTTP 503); the reproduction hung 6 of 6 before, completes 3 of 3 now, with identical first-token logits and needles 9 of 9 twice.
• Intel Arc B-series (Battlemage, B70): int8 experts for prompt reading. On by default: 1K prompt 648 to 785 tok/s (+21%), 4K 1,264 to 1,419 (+12%), same output; STRATA_PREFILL_MMQ=0 turns it off. Setup now p