From 2f5af6b246d3a1fcfa78ffbe6db75261cffd034a Mon Sep 17 00:00:00 2001 From: Ettore Di Giacinto Date: Fri, 4 Jul 2025 18:39:36 +0200 Subject: [PATCH] chore(model gallery): add agentica-org_deepswe-preview (#5792) Signed-off-by: Ettore Di Giacinto --- gallery/index.yaml | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/gallery/index.yaml b/gallery/index.yaml index 18f385615..5a2cb3744 100644 --- a/gallery/index.yaml +++ b/gallery/index.yaml @@ -1593,6 +1593,23 @@ - filename: HelpingAI_Dhanishtha-2.0-preview-Q4_K_M.gguf sha256: 026a1f80187c9ecdd0227816a35661f3b6b7abe85971121b4c1c25b6cdd7ab86 uri: huggingface://bartowski/HelpingAI_Dhanishtha-2.0-preview-GGUF/HelpingAI_Dhanishtha-2.0-preview-Q4_K_M.gguf +- !!merge <<: *qwen3 + name: "agentica-org_deepswe-preview" + icon: https://hebbkx1anhila5yf.public.blob.vercel-storage.com/IMG_3783-N75vmFhDaJtJkLR4d8pdBymos68DPo.png + urls: + - https://huggingface.co/agentica-org/DeepSWE-Preview + - https://huggingface.co/bartowski/agentica-org_DeepSWE-Preview-GGUF + description: | + DeepSWE-Preview is a fully open-sourced, state-of-the-art coding agent trained with only reinforcement learning (RL) to excel at software engineering (SWE) tasks. DeepSWE-Preview demonstrates strong reasoning capabilities in navigating complex codebases and viewing/editing multiple files, and it serves as a foundational model for future coding agents. The model achieves an impressive 59.0% on SWE-Bench-Verified, which is currently #1 in the open-weights category. + + DeepSWE-Preview is trained on top of Qwen3-32B with thinking mode enabled. With just 200 steps of RL training, SWE-Bench-Verified score increases by ~20%. + overrides: + parameters: + model: agentica-org_DeepSWE-Preview-Q4_K_M.gguf + files: + - filename: agentica-org_DeepSWE-Preview-Q4_K_M.gguf + sha256: 196a7128d3b7a59f1647792bb72c17db306f773e78d5a47feeeea92e672d761b + uri: huggingface://bartowski/agentica-org_DeepSWE-Preview-GGUF/agentica-org_DeepSWE-Preview-Q4_K_M.gguf - &gemma3 url: "github:mudler/LocalAI/gallery/gemma.yaml@master" name: "gemma-3-27b-it"