ExLlamaV3 Major Updates!

Turboderp has a been on [an absolute tear](https://github.com/turboderp-org/exllamav3/commits/dev) recently, in the endless battle to cram new llamas into smaller, faster boxes. We started off last month with the release of [gemma 4 support](https://github.com/turboderp-org/exllamav3/releases/tag/v0.0.29), and continued with [improved caching efficiency](https://github.com/turboderp-org/exllamav3/releases/tag/v0.0.30). [DFlash support](https://github.com/turboderp-org/exllamav3/releases/tag/v0.0.31) came 2 weeks ago with these impressive results: |Category|Baseline|N-gram/suffix|DFlash| |:-|:-|:-|:-| |Agentic, code|55.98 t/s|89.58 t/s (1.60x)|140.61 t/s (2.51x)| |Agentic, curl|54.03 t/s|74.62 t/s (1.38x)|125.94 t/s (2.33x)| |Coding|59.21 t/s|75.34 t/s (1.27x)|177.67 t/s (3.00x)| |Creative|59.10 t/s|67.26 t/s (1.13x)|89.19 t/s (1.50x)| |Creative (reasoning)|59.03 t/s|64.25 t/s (1.09x)|93.54 t/s (1.58x)| |Translation|58.11 t/s|55.39 t/s (0.95x)|75.73 t/s (1.30x)| |Translation (reasoning)|58.08 t/s|80.21 t/s (1.38x)|119.43 t/s (2.06x)| [More model optimization](https://github.com/turboderp-org/exllamav3/releases/tag/v0.0.32) last week, with these improvements: |Model|3090¹|4090¹|5090¹|6000 Pro¹|5090²|6000 Pro²| |:-|:-|:-|:-|:-|:-|:-| |Qwen3.5-35B-A3B 4.00bpw|5.3%|5.8%|8.6%|10.3%|21.0%|23.5%| |Qwen3.5-27B 4.00bpw|0.0%|1.9%|8.1%|11.7%|13.1%|15.0%| |Trinity-Nano 4.15bpw|29.5%|48.6%|52.3%|52.9%|70.5%|72.4%| |Gemma4-26B-A4B 4.10bpw|3.1%|2.9%|7.8%|9.6%|16.4%|19.2%| |Gemma4-31B 4.00bpw|4.0%|4.9%|10.0%|8.0%|16.0%|12.0%| [DFlash model quantization](https://github.com/turboderp-org/exllamav3/releases/tag/v0.0.33) and more bugfixes + efficiency in the last 2 days, and more work on the dev branch already! Come say hi at the [exllama discord](https://discord.gg/AD2mVhZzf).