From 0802cba4911b377395334f76ee84fb39a688ac7c Mon Sep 17 00:00:00 2001 From: Qubitium Date: Tue, 25 Aug 2026 03:09:17 +0000 Subject: [PATCH] docs: consolidate verbose model-support entries in Latest News --- README.md | 28 +++++----------------------- 1 file changed, 5 insertions(+), 23 deletions(-) diff --git a/README.md b/README.md index 32cc36b50..c01586246 100644 --- a/README.md +++ b/README.md @@ -23,30 +23,12 @@ * 08/25/2026 7.4.0-dev `main`: ✨ Added `lm_head` and embedding quantization lifecycle. * 08/24/2026 7.4.0-dev `main`: ✨ Added Baidu `Unlimited-OCR` quantization support. -* 08/20/2026 7.4.0-dev `main`: ✨ Added `deepseek_v32` / DeepSeek V3.2 model support -* 08/19/2026 7.4.0-dev `main`: ✨ Added `muse_glimmer` / Muse Glimmer multimodal model support. -* 08/19/2026 7.4.0-dev `main`: ✨ Added `mage_vl` / Mage-VL model support -* 08/18/2026 7.4.0-dev `main`: ✨ Added Cohere `North Micro Vision` (`cohere_compass`) model support -* 08/04/2026 7.4.0-dev `main`: ✨ Added `axk2` (A.X-K2) model support +* 08/20/2026 7.4.0-dev `main`: ✨ Added `deepseek_v32` / DeepSeek V3.2; `muse_glimmer` / Muse Glimmer multimodal; `mage_vl` / Mage-VL; Cohere `North Micro Vision` (`cohere_compass`); `axk2` (A.X-K2) model support. * 08/04/2026 7.4.0-dev `main`: 🚀🔥⚡ Added `Swordfish` Blackwell (>= sm100) GPTQ/AWQ kernel from [AlpinDale](https://x.com/AlpinDale): [Paper](https://blog.alpindale.net/posts/swordfish/). -* 07/24/2026 7.3.1 `main`: ✨ Added `solar_open` and `solar_open2` model support -* 07/23/2026 7.3.1 `main`: ✨ Added `Intern S2 PreView` model support -* 07/23/2026 7.3.1 `main`: ✨ Added `inkling_mm_model` model support -* 07/22/2026 7.3.1 `main`: ✨ Added Poolside `Laguna S 2.1` model support -* 07/14/2026 7.3.0-dev `main`: ✨ Added `nemotron_h_puzzle` model support -* 07/07/2026 7.3.0-dev `main`: ✨ Added `deepseek_vl` model support -* 07/06/2026 7.3.0-dev `main`: ✨ Added `deepseek_ocr2` model support -* 04/07/2026 7.3.0-dev `main`: ✨ Added `deepseek_vl_v2` model support -* 02/07/2026 7.2.0-dev `main`: ✨ Added `lfm2` and `lfm2_vl` model support -* 06/30/2026 7.2.0-dev `main`: ✨ Added `minimax_m3_vl` / MiniMax M3 model support -* 06/25/2026 7.2.0-dev `main`: ✨ Added `cohere2_moe` model support -* 05/25/2026 7.1.0-dev `main`: ✨ Added `hy_3` and `ministral3` model support -* 05/25/2026 7.1.0-dev `main`: ✨ Added `hunyuan_v1_dense` and `hunyuan_v1_moe` model support -* 05/21/2026 7.1.0-dev `main`: ✨ Added `nemotron_labs_diffusion` model support -* 05/20/2026 7.1.0-dev `main`: ✨ Added `interns1`, `ovis2_5`, `ovis2_6_moe` and `ovis2_6_next` model support -* 05/15/2026 7.1.0-dev `main`: ✨ Added `mimo_v2` model support -* 05/13/2026 7.1.0-dev `main`: ✨ Added `minicpmv_4_6` and `DeepSeek V4` model support -* 05/07/2026 7.1.0-dev `main`: ✨ Added `GLM-4.5V`, `GLM-4.6V`, `Zamba` and `Zamba2` model support +* 07/24/2026 7.3.1 `main`: ✨ Added `solar_open` and `solar_open2`; `Intern S2 PreView`; `inkling_mm_model`; Poolside `Laguna S 2.1` model support. +* 07/14/2026 7.3.0-dev `main`: ✨ Added `nemotron_h_puzzle`; `deepseek_vl`; `deepseek_ocr2`; `deepseek_vl_v2` model support. +* 06/30/2026 7.2.0-dev `main`: ✨ Added `lfm2` and `lfm2_vl`; `minimax_m3_vl` / MiniMax M3; `cohere2_moe` model support. +* 05/25/2026 7.1.0-dev `main`: ✨ Added `hy_3` and `ministral3`; `hunyuan_v1_dense` and `hunyuan_v1_moe`; `nemotron_labs_diffusion`; `interns1`, `ovis2_5`, `ovis2_6_moe` and `ovis2_6_next`; `mimo_v2`; `minicpmv_4_6` and `DeepSeek V4`; `GLM-4.5V`, `GLM-4.6V`, `Zamba` and `Zamba2` model support. * 04/29/2026 7.1.0-dev `main`: ✨ Added PoolSideAI `Laguna` model support for fused Laguna MoE checkpoints. Added `ERNIE 4.5 VL MoE`, `Ling-2.6-flash` and NVIDIA `Nemotron 3 Nano Omni` model support. * 04/28/2026 [7.0.0](https://github.com/ModelCloud/GPTQModel/releases/tag/v7.0.0): 🚀 Added Huawei Ascend NPU support through native torch kernels for GPTQ, AWQ, ParoQuant, GGUF, QQQ, and EXL3. Added `internvl_chat`, `gemma3n`, `GLM-OCR`, `GLM-ASR`, and `falcon_mamba` model support. * 04/16/2026 [6.1.0](https://github.com/ModelCloud/GPTQModel/releases/tag/v6.1.0): 🚀🔥⚡ CUDA kernels are now fully JIT-compiled, shrinking the wheel by about 300x and building only what you use; Marlin now supports NVIDIA `Turing+` GPUs, Machete kernel validation now covers supported GPUs, `GLM 5/5.1` joins the lineup, and LazyTurtle plus AWQ / multi-GPU MoE fixes make large-model quantization easier, lighter, and smoother.