From 01f8845bf30d89fff293c7bd50187bc59d9d53ea Mon Sep 17 00:00:00 2001
From: City <125218114+city96@users.noreply.github.com>
Date: Mon, 1 Dec 2025 01:32:43 +0100
Subject: [PATCH] Add VL version of Qwen3 4B as valid arch

According to #361 the thinking/abliterated versions work even though the model wasn't trained with them, maybe the vision one does too.
Does not have mmproj support, since nothing uses that atm.
---
 loader.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/loader.py b/loader.py
index a81f37f..72dd010 100644
--- a/loader.py
+++ b/loader.py
@@ -10,7 +10,7 @@ from .ops import GGMLTensor
 from .dequant import is_quantized, dequantize_tensor
 
 IMG_ARCH_LIST = {"flux", "sd1", "sdxl", "sd3", "aura", "hidream", "cosmos", "ltxv", "hyvid", "wan", "lumina2", "qwen_image"}
-TXT_ARCH_LIST = {"t5", "t5encoder", "llama", "qwen2vl", "qwen3"}
+TXT_ARCH_LIST = {"t5", "t5encoder", "llama", "qwen2vl", "qwen3", "qwen3vl"}
 VIS_TYPE_LIST = {"clip-vision", "mmproj"}
 
 def get_orig_shape(reader, tensor_name):
@@ -381,7 +381,7 @@ def gguf_clip_loader(path):
             logging.warning(f"Dequantizing {temb_key} to prevent runtime OOM.")
             sd[temb_key] = dequantize_tensor(sd[temb_key], dtype=torch.float16)
         sd = sd_map_replace(sd, T5_SD_MAP)
-    elif arch in {"llama", "qwen2vl", "qwen3"}:
+    elif arch in {"llama", "qwen2vl", "qwen3", "qwen3vl"}:
         # TODO: pass model_options["vocab_size"] to loader somehow
         temb_key = "token_embd.weight"
         if temb_key in sd and sd[temb_key].shape[0] >= (64 * 1024):