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multipart downloading up to 9 parts

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Concedo 2025-05-02 22:34:20 +08:00
parent d8f1f73dd7
commit 423a68c45d
1 changed files with 29 additions and 5 deletions
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34
koboldcpp.py
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@ -963,11 +963,11 @@ def autoset_gpu_layers(ctxsize, sdquanted, bbs, qkv_level): #shitty algo to dete
if fsize > (10*1024*1024): #dont bother with models < 10mb if fsize > (10*1024*1024): #dont bother with models < 10mb
cs = ctxsize cs = ctxsize
mem = gpumem mem = gpumem
if "-00001-of-000" in fname: if "-00001-of-0000" in fname:
match = re.search(r'-(\d{5})-of-(\d{5})\.', fname) match = re.search(r'-(\d{5})-of-(\d{5})\.', fname)
if match: if match:
total_parts = int(match.group(2)) total_parts = int(match.group(2))
if total_parts > 1 and total_parts < 99: if total_parts > 1 and total_parts <= 9:
print("Multi-Part GGUF detected. Layer estimates may not be very accurate - recommend setting layers manually.") print("Multi-Part GGUF detected. Layer estimates may not be very accurate - recommend setting layers manually.")
fsize *= total_parts fsize *= total_parts
if modelfile_extracted_meta[3] > 1024*1024*1024*5: #sdxl tax if modelfile_extracted_meta[3] > 1024*1024*1024*5: #sdxl tax
@ -4161,10 +4161,23 @@ def show_gui():
resp = make_url_request(f"https://huggingface.co/api/models/{modelsearch1_var.get()}",None,'GET',{},10) resp = make_url_request(f"https://huggingface.co/api/models/{modelsearch1_var.get()}",None,'GET',{},10)
for m in resp["siblings"]: for m in resp["siblings"]:
if ".gguf" in m["rfilename"]: if ".gguf" in m["rfilename"]:
if "-of-0" in m["rfilename"] and "00001" not in m["rfilename"]:
continue
searchedmodels.append(m["rfilename"]) searchedmodels.append(m["rfilename"])
searchbox2.configure(values=searchedmodels) searchbox2.configure(values=searchedmodels)
if len(searchedmodels)>0: if len(searchedmodels)>0:
modelsearch2_var.set(searchedmodels[0]) quants = ["q4k","q4_k","q4", "q3", "q5", "q6", "q8"] #autopick priority
chosen_model = searchedmodels[0]
found_good = False
for quant in quants:
for filename in searchedmodels:
if quant in filename.lower():
chosen_model = filename
found_good = True
break
if found_good:
break
modelsearch2_var.set(chosen_model)
else: else:
modelsearch2_var.set("") modelsearch2_var.set("")
except Exception as e: except Exception as e:
@ -5779,7 +5792,7 @@ def downloader_internal(input_url, output_filename, capture_output, min_file_siz
return output_filename return output_filename
def download_model_from_url(url, permitted_types=[".gguf",".safetensors", ".ggml", ".bin"], min_file_size=64): def download_model_from_url(url, permitted_types=[".gguf",".safetensors", ".ggml", ".bin"], min_file_size=64,handle_multipart=False):
if url and url!="": if url and url!="":
if url.endswith("?download=true"): if url.endswith("?download=true"):
url = url.replace("?download=true","") url = url.replace("?download=true","")
@ -5790,6 +5803,17 @@ def download_model_from_url(url, permitted_types=[".gguf",".safetensors", ".ggml
break break
if ((url.startswith("http://") or url.startswith("https://")) and end_ext_ok): if ((url.startswith("http://") or url.startswith("https://")) and end_ext_ok):
dlfile = downloader_internal(url, "auto", False, min_file_size) dlfile = downloader_internal(url, "auto", False, min_file_size)
if handle_multipart and "-00001-of-0000" in url: #handle multipart files up to 9 parts
match = re.search(r'-(\d{5})-of-(\d{5})\.', url)
if match:
total_parts = int(match.group(2))
if total_parts > 1 and total_parts <= 9:
current_part = 1
base_url = url
for part_num in range(current_part + 1, total_parts + 1):
part_str = f"-{part_num:05d}-of-{total_parts:05d}"
new_url = re.sub(r'-(\d{5})-of-(\d{5})', part_str, base_url)
downloader_internal(new_url, "auto", False, min_file_size)
return dlfile return dlfile
return None return None
@ -6082,7 +6106,7 @@ def kcpp_main_process(launch_args, g_memory=None, gui_launcher=False):
# handle model downloads if needed # handle model downloads if needed
if args.model_param and args.model_param!="": if args.model_param and args.model_param!="":
dlfile = download_model_from_url(args.model_param,[".gguf",".bin", ".ggml"],min_file_size=500000) dlfile = download_model_from_url(args.model_param,[".gguf",".bin", ".ggml"],min_file_size=500000,handle_multipart=True)
if dlfile: if dlfile:
args.model_param = dlfile args.model_param = dlfile
if args.model and isinstance(args.model, list) and len(args.model)>1: #handle multi file downloading if args.model and isinstance(args.model, list) and len(args.model)>1: #handle multi file downloading