Populare: Date actualizate pe 13 noiembrie 2026

Categorii

Internet1.412
Comunicare327
Audio și video934
Grafică și design563
Birou și productivitate1.172
Instrumente pentru dezvoltatori3.272
Instrumente AI599
Securitate și confidențialitate407
Instrumente de sistem3.179
Jocuri543
Educație și știință240
Rețea și IT292

Strata: versiuni mai vechi, descărcare

Runs AI models on your own computer for chat, coding and image work.

Aici sunt listate 1 versiune ale programului Strata, de la 9 noiembrie 2026 până la versiunea actuală, 0.2.13. Fiecare trimite la instalatoarele oficiale ale dezvoltatorului.

2026: 1 1 26
VersiuneDataDimensiuneFișiere
0.2.13Cea mai nouă 9 noiembrie 2026 — 64 de biți EXE (NSIS)
Note de versiune
Strata 0.2.13: new DFlash2 defaults per card, a faster app start, a fix for the Strix Halo Terminal launch, and Qwen4 groundwork
The app and the Terminal are 0.2.13. Control and every engine package are 0.1.59. The update feed is sequence 123.
The DGX Spark (linux-aarch64) gets 0.2.13 too.
Highlights
- DFlash2 drafting, new defaults per card: Strix Halo, UD-Q4_K_XL, 46.6 to 49.1 tokens per second (+5.2%). RTX PRO 5000 72 GB, IQ3_S, 256-261 to 263-265 (+2.8%).
- Strix Halo (Windows): the Terminal launch of UD-Q4_K_XL with pictures off starts. Setup writes a 700 MB reserve, and the engine no longer applies its 2,560 MiB Windows floor on integrated graphics.
- Intel Arc: the same prompt gives the same answer on every run. 50 of 50 runs were identical on an A750, against 3 to 5 different answers in 5 runs before.
- App start: the main file went from 3.12 MB to 0.76 MB, and the start screen from 248.5 ms to 143.4 ms (headless Chrome, median of 10).
- Linux: the expert store loads again when free memory, the file cache or a reserved huge-page pool can hold it (#5327, PR #5531 by pjgmobile).
- Qwen4 groundwork: the signed update feed can carry a model list, and a model of a new shape gets its own engine download beside the Strata engine.
Speed against 0.2.12
Tokens per second, 0.2.12 to 0.2.13, on the DFlash2 defaults that changed. Other machines and models were not measured again.

| Machine, model | Output | Output text |
| ------------------------- | -------------------------- | -------------------------------------------------------------- |
| Strix Halo, UD-Q4_K_XL | 46.6 to 49.1 (+5.2%) | differs from 0.2.12 on 30 of 36 prompts, the same on every run |
| Strix Halo, UD-IQ4_XS-v31 | +2.0% | identical |
| RTX PRO 5000 72 GB, IQ3_S | 256-261 to 263-265 (+2.8%) | identical |

How it was measured: the 0.2.12 settings and the 0.2.13 settings side by side through the Terminal's own flags, 3 interleaved rounds, a fresh engine start per run, greedy answers of 300 tokens. Speeds were not measured again on the final 0.1.59 packages.
What changed for you
- DFlash2 window and confidence per card. Strix Halo: window 5 to 8. Blackwell cc 12.0 with 48 GB or more (the RTX PRO 5000 72 GB class): window 6 to 8, and confidence 0.35 to 0.55 for IQ3_S. The DGX Spark and other cards keep their 0.2.12 values.
- The app's Load fetches the tuned DFlash2 drafter by itself when Auto picks it (as on the RTX PRO 5000 72 GB), as the Terminal does. On an RTX PRO 5000 with IQ3_S (3 rounds of 12 prompts per kind): agent +10.1%, chat +4.8%, all +6.1%, output identical 72 of 72.
- Windows RX 9070 / R9700 (gfx1201) and RX 7900 (gfx1100): the hipBLASLt table is no longer used by default. This restores the 10-19 rule of gfx1151 only, which the engine had overridden since 0.2.10. STRATA_HIPBLASLT_TABLE=on uses the table.
- Settings the launcher used to write are now the engine's own defaults, so a plain engine start matches the app and the Terminal: the parallel stack on Linux CUDA with 2 or more slots, the GDN settings on Linux CUDA, the chunked GDN scan on Linux with all cards gfx12, the gfx1151 hipBLASLt table, the Q8_0 hyper-connection read for Unsloth UD files on CUDA, and fp16 decode windows on the Mac for a resident IQ3_S or Q2_0 pack.
- One fit label in the app and the Terminal: "fits" when the model files without the lookup table fit graphics memory plus RAM, otherwise "may run slower". The Unsloth sets used to be measured against RAM only, which showed "too big" on a V100 32 GB with 31 GB of RAM. DeepSeek's Needs column shows its whole size. NVFP4-QAD is sized at 76.8 GB, the pack that runs.
- Strix Halo (Windows): on UD-Q4_K_XL with pictures off, 22,991 expert-cache slots against 17,556 on 0.2.12, because the engine's reserve floor no longer applies. Configs saved before the fix work after the update.
- Linux: a data folder on an external drive (/run/media/..., /media/..., /mnt) is accepted. Real system folders are still refused. The doubled "Nothing was d

Cele mai populare în Asistenți AI și LLM

Vezi tot
  1. Claude CodeAsistenți AI și LLM · Anthropic PBC
  2. Codex CLIAsistenți AI și LLM · OpenAI, Inc.
  3. ChatGPT by lencxAsistenți AI și LLM · lencx
  4. GPT4AllAsistenți AI și LLM · Nomic
  5. JanAsistenți AI și LLM · Jan
  6. oh-my-piAsistenți AI și LLM · Can Bölük
  7. T3 CodeAsistenți AI și LLM · T3 Tools
  8. WSL ManagerAsistenți AI și LLM · Bostrot
  9. CC SwitchAsistenți AI și LLM · farion1231
  10. LobeHubAsistenți AI și LLM · LobeHub

Alte programe de la strata

Vezi tot

Etichete

Distribuie