@@ -10,7 +10,7 @@ from .ops import GGMLTensor
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||||
from .dequant import is_quantized, dequantize_tensor
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||||
IMG_ARCH_LIST = {"flux", "sd1", "sdxl", "sd3", "aura", "hidream", "cosmos", "ltxv", "hyvid", "wan", "lumina2", "qwen_image"}
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||||
TXT_ARCH_LIST = {"t5", "t5encoder", "llama", "qwen2vl"}
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||||
TXT_ARCH_LIST = {"t5", "t5encoder", "llama", "qwen2vl", "qwen3"}
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||||
VIS_TYPE_LIST = {"clip-vision", "mmproj"}
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||||
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def get_orig_shape(reader, tensor_name):
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||||
@@ -157,6 +157,9 @@ T5_SD_MAP = {
|
||||
LLAMA_SD_MAP = {
|
||||
"blk.": "model.layers.",
|
||||
"attn_norm": "input_layernorm",
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||||
"attn_q_norm.": "self_attn.q_norm.",
|
||||
"attn_k_norm.": "self_attn.k_norm.",
|
||||
"attn_v_norm.": "self_attn.v_norm.",
|
||||
"attn_q": "self_attn.q_proj",
|
||||
"attn_k": "self_attn.k_proj",
|
||||
"attn_v": "self_attn.v_proj",
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||||
@@ -335,7 +338,7 @@ def gguf_clip_loader(path):
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||||
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"}:
|
||||
elif arch in {"llama", "qwen2vl", "qwen3"}:
|
||||
# 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):
|
||||
|
||||
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