# A hacky little script from Concedo that exposes llama.cpp function bindings # allowing it to be used via a simulated kobold api endpoint # generation delay scales linearly with original prompt length. import ctypes import os import argparse import json, http.server, threading, socket, sys, time, asyncio from aiohttp import web stop_token_max = 10 class load_model_inputs(ctypes.Structure): _fields_ = [("threads", ctypes.c_int), ("blasthreads", ctypes.c_int), ("max_context_length", ctypes.c_int), ("batch_size", ctypes.c_int), ("f16_kv", ctypes.c_bool), ("executable_path", ctypes.c_char_p), ("model_filename", ctypes.c_char_p), ("lora_filename", ctypes.c_char_p), ("use_mmap", ctypes.c_bool), ("use_mlock", ctypes.c_bool), ("use_smartcontext", ctypes.c_bool), ("unban_tokens", ctypes.c_bool), ("clblast_info", ctypes.c_int), ("blasbatchsize", ctypes.c_int), ("debugmode", ctypes.c_bool), ("forceversion", ctypes.c_int), ("gpulayers", ctypes.c_int)] class generation_inputs(ctypes.Structure): _fields_ = [("seed", ctypes.c_int), ("prompt", ctypes.c_char_p), ("max_context_length", ctypes.c_int), ("max_length", ctypes.c_int), ("temperature", ctypes.c_float), ("top_k", ctypes.c_int), ("top_a", ctypes.c_float), ("top_p", ctypes.c_float), ("typical_p", ctypes.c_float), ("tfs", ctypes.c_float), ("rep_pen", ctypes.c_float), ("rep_pen_range", ctypes.c_int), ("mirostat", ctypes.c_int), ("mirostat_tau", ctypes.c_float), ("mirostat_eta", ctypes.c_float), ("stop_sequence", ctypes.c_char_p * stop_token_max)] class generation_outputs(ctypes.Structure): _fields_ = [("status", ctypes.c_int), ("text", ctypes.c_char * 16384)] handle = None def getdirpath(): return os.path.dirname(os.path.realpath(__file__)) def file_exists(filename): return os.path.exists(os.path.join(getdirpath(), filename)) def pick_existant_file(ntoption,nonntoption): ntexist = file_exists(ntoption) nonntexist = file_exists(nonntoption) if os.name == 'nt': if nonntexist and not ntexist: return nonntoption return ntoption else: if ntexist and not nonntexist: return ntoption return nonntoption lib_default = pick_existant_file("koboldcpp.dll","koboldcpp.so") lib_failsafe = pick_existant_file("koboldcpp_failsafe.dll","koboldcpp_failsafe.so") lib_openblas = pick_existant_file("koboldcpp_openblas.dll","koboldcpp_openblas.so") lib_openblas_noavx2 = pick_existant_file("koboldcpp_openblas_noavx2.dll","koboldcpp_openblas_noavx2.so") lib_clblast = pick_existant_file("koboldcpp_clblast.dll","koboldcpp_clblast.so") def init_library(): global handle global lib_default,lib_failsafe,lib_openblas,lib_openblas_noavx2,lib_clblast libname = "" use_blas = False # if true, uses OpenBLAS for acceleration. libopenblas.dll must exist in the same dir. use_clblast = False #uses CLBlast instead use_noavx2 = False #uses openblas with no avx2 instructions if args.noavx2: use_noavx2 = True if not file_exists(lib_openblas_noavx2) or (os.name=='nt' and not file_exists("libopenblas.dll")): print("Warning: OpenBLAS library file not found. Non-BLAS library will be used.") elif args.noblas: print("!!! Attempting to use FAILSAFE MODE !!!") else: use_blas = True print("Attempting to use non-avx2 compatibility library with OpenBLAS. A compatible libopenblas will be required.") elif args.useclblast: if not file_exists(lib_clblast) or (os.name=='nt' and not file_exists("clblast.dll")): print("Warning: CLBlast library file not found. Non-BLAS library will be used.") else: print("Attempting to use CLBlast library for faster prompt ingestion. A compatible clblast will be required.") use_clblast = True else: if not file_exists(lib_openblas) or (os.name=='nt' and not file_exists("libopenblas.dll")): print("Warning: OpenBLAS library file not found. Non-BLAS library will be used.") elif args.noblas: print("Attempting to library without OpenBLAS.") else: use_blas = True print("Attempting to use OpenBLAS library for faster prompt ingestion. A compatible libopenblas will be required.") if sys.platform=="darwin": print("Mac OSX note: Some people have found Accelerate actually faster than OpenBLAS. To compare, run Koboldcpp with --noblas instead.") if use_noavx2: if use_blas: libname = lib_openblas_noavx2 else: libname = lib_failsafe else: if use_clblast: libname = lib_clblast elif use_blas: libname = lib_openblas else: libname = lib_default print("Initializing dynamic library: " + libname) dir_path = getdirpath() #OpenBLAS should provide about a 2x speedup on prompt ingestion if compatible. handle = ctypes.CDLL(os.path.join(dir_path, libname)) handle.load_model.argtypes = [load_model_inputs] handle.load_model.restype = ctypes.c_bool handle.generate.argtypes = [generation_inputs, ctypes.c_wchar_p] #apparently needed for osx to work. i duno why they need to interpret it that way but whatever handle.generate.restype = generation_outputs handle.new_token.restype = ctypes.c_char_p def load_model(model_filename): inputs = load_model_inputs() inputs.model_filename = model_filename.encode("UTF-8") inputs.lora_filename = args.lora.encode("UTF-8") inputs.batch_size = 8 inputs.max_context_length = maxctx #initial value to use for ctx, can be overwritten inputs.threads = args.threads inputs.blasthreads = args.blasthreads inputs.f16_kv = True inputs.use_mmap = (not args.nommap) inputs.use_mlock = args.usemlock if args.lora and args.lora!="": inputs.use_mmap = False inputs.use_smartcontext = args.smartcontext inputs.unban_tokens = args.unbantokens inputs.blasbatchsize = args.blasbatchsize inputs.forceversion = args.forceversion inputs.gpulayers = args.gpulayers clblastids = 0 if args.useclblast: clblastids = 100 + int(args.useclblast[0])*10 + int(args.useclblast[1]) inputs.clblast_info = clblastids inputs.executable_path = (getdirpath()+"/").encode("UTF-8") inputs.debugmode = args.debugmode ret = handle.load_model(inputs) return ret def generate(prompt,max_length=20, max_context_length=512,temperature=0.8,top_k=120, top_a=0.0 ,top_p=0.85, typical_p=1.0, tfs=1.0 ,rep_pen=1.1,rep_pen_range=128,seed=-1,stop_sequence=[]): inputs = generation_inputs() outputs = ctypes.create_unicode_buffer(ctypes.sizeof(generation_outputs)) inputs.prompt = prompt.encode("UTF-8") inputs.max_context_length = max_context_length # this will resize the context buffer if changed inputs.max_length = max_length inputs.temperature = temperature inputs.top_k = top_k inputs.top_a = top_a inputs.top_p = top_p inputs.typical_p = typical_p inputs.tfs = tfs inputs.rep_pen = rep_pen inputs.rep_pen_range = rep_pen_range if args.usemirostat and args.usemirostat[0]>0: inputs.mirostat = int(args.usemirostat[0]) inputs.mirostat_tau = float(args.usemirostat[1]) inputs.mirostat_eta = float(args.usemirostat[2]) else: inputs.mirostat = inputs.mirostat_tau = inputs.mirostat_eta = 0 inputs.seed = seed for n in range(0,stop_token_max): if not stop_sequence or n >= len(stop_sequence): inputs.stop_sequence[n] = "".encode("UTF-8") else: inputs.stop_sequence[n] = stop_sequence[n].encode("UTF-8") ret = handle.generate(inputs,outputs) if(ret.status==1): return ret.text.decode("UTF-8","ignore") return "" def utfprint(str): try: print(str) except UnicodeEncodeError: # Replace or omit the problematic character utf_string = str.encode('ascii', 'ignore').decode('ascii') print(utf_string) ################################################################# ### A hacky simple HTTP server simulating a kobold api by Concedo ### we are intentionally NOT using flask, because we want MINIMAL dependencies ################################################################# friendlymodelname = "concedo/koboldcpp" # local kobold api apparently needs a hardcoded known HF model name maxctx = 2048 maxlen = 256 modelbusy = False defaultport = 5001 KcppVersion = "1.29" class ServerRequestHandler: sys_version = "" server_version = "ConcedoLlamaForKoboldServer" app = web.Application() def __init__(self, addr, port, embedded_kailite): self.addr = addr self.port = port self.embedded_kailite = embedded_kailite async def send_sse_event(self, response, event, data): await response.write(f'event: {event}\n'.encode()) await response.write(f'data: {data}\n\n'.encode()) async def handle_sse_stream(self, request): response = web.StreamResponse(headers={"Content-Type": "text/event-stream"}) await response.prepare(request) stream_finished = False while True: if handle.has_finished(): stream_finished = True if not handle.is_locked(): token = ctypes.string_at(handle.new_token()).decode('utf-8') event_data = {"finished": stream_finished, "token": token} event_str = f"data: {json.dumps(event_data)}" await self.send_sse_event(response, "message", event_str) print(token) print(event_data) if stream_finished: break async def generate_text(self, newprompt, genparams): recvtxt = generate( prompt=newprompt, max_context_length=genparams.get('max_context_length', maxctx), max_length=genparams.get('max_length', 50), temperature=genparams.get('temperature', 0.8), top_k=genparams.get('top_k', 120), top_a=genparams.get('top_a', 0.0), top_p=genparams.get('top_p', 0.85), typical_p=genparams.get('typical', 1.0), tfs=genparams.get('tfs', 1.0), rep_pen=genparams.get('rep_pen', 1.1), rep_pen_range=genparams.get('rep_pen_range', 128), seed=genparams.get('sampler_seed', -1), stop_sequence=genparams.get('stop_sequence', []) ) res = {"results": [{"text": recvtxt}]} try: return web.json_response(res) except: print("Generate: The response could not be sent, maybe the connection was terminated?") async def handle_request(self, request, genparams, newprompt, stream_flag): if stream_flag: self.handle_sse_stream(request) # RUN THESE CONCURRENTLY WITHOUT BLOCKING EACHOTHER self.generate_text(newprompt, genparams) async def handle_get(self, request): global maxctx, maxlen, friendlymodelname, KcppVersion, streamLock path = request.path.rstrip('/') if path in ["", "/?"] or path.startswith(('/?','?')): if args.stream and not "streaming=1" in path: path = path.replace("streaming=0","") if path.startswith(('/?','?')): path += "&streaming=1" else: path = path + "?streaming=1" raise web.HTTPFound(path) if self.embedded_kailite is None: return web.Response( text="Embedded Kobold Lite is not found.
You will have to connect via the main KoboldAI client, or use this URL to connect." ) else: return web.Response(body=self.embedded_kailite) elif path.endswith(('/api/v1/model', '/api/latest/model')): return web.json_response({'result': friendlymodelname}) elif path.endswith(('/api/v1/config/max_length', '/api/latest/config/max_length')): return web.json_response({"value": maxlen}) elif path.endswith(('/api/v1/config/max_context_length', '/api/latest/config/max_context_length')): return web.json_response({"value": maxctx}) elif path.endswith(('/api/v1/config/soft_prompt', '/api/latest/config/soft_prompt')): return web.json_response({"value": ""}) elif path.endswith(('/api/v1/config/soft_prompts_list', '/api/latest/config/soft_prompts_list')): return web.json_response({"values": []}) elif path.endswith(('/api/v1/info/version', '/api/latest/info/version')): return web.json_response({"result": "1.2.2"}) elif path.endswith(('/api/extra/version')): return web.json_response({"result": "KoboldCpp", "version": KcppVersion}) return web.Response(status=404, text="Error: HTTP Server is running, but this endpoint does not exist. Please check the URL.") async def handle_post(self, request): global modelbusy body = await request.content.read() basic_api_flag = False kai_api_flag = False kai_stream_flag = True path = request.path.rstrip('/') print(request) if modelbusy: return web.json_response( {"detail": {"msg": "Server is busy; please try again later.", "type": "service_unavailable"}}, status=503, ) if path.endswith('/request'): basic_api_flag = True if path.endswith(('/api/v1/generate', '/api/latest/generate')): kai_api_flag = True if path.endswith('/api/v1/generate/stream'): kai_api_flag = True kai_stream_flag = True if basic_api_flag or kai_api_flag: genparams = None try: genparams = json.loads(body) except ValueError as e: return web.Response(status=503) utfprint("\nInput: " + json.dumps(genparams)) modelbusy = True if kai_api_flag: fullprompt = genparams.get('prompt', "") else: fullprompt = genparams.get('text', "") newprompt = fullprompt await self.handle_request(request, genparams, newprompt, kai_stream_flag) modelbusy = False return web.Response() return web.Response(status=404) async def handle_options(self): return web.Response() async def handle_head(self): return web.Response() async def start_server(self): self.app.router.add_route('GET', '/{tail:.*}', self.handle_get) self.app.router.add_route('POST', '/{tail:.*}', self.handle_post) self.app.router.add_route('OPTIONS', '/', self.handle_options) self.app.router.add_route('HEAD', '/', self.handle_head) runner = web.AppRunner(self.app) await runner.setup() site = web.TCPSite(runner, self.addr, self.port) await site.start() # Keep Alive try: while True: await asyncio.sleep(3600) except KeyboardInterrupt: await runner.cleanup() async def run_server(addr, port, embedded_kailite=None): handler = ServerRequestHandler(addr, port, embedded_kailite) await handler.start_server() def show_gui(): import tkinter as tk from tkinter.filedialog import askopenfilename if len(sys.argv) == 1: #no args passed at all. Show nooby gui root = tk.Tk() launchclicked = False def guilaunch(): nonlocal launchclicked launchclicked = True root.destroy() pass # Adjust size root.geometry("480x360") root.title("KoboldCpp v"+KcppVersion) root.grid_columnconfigure(0, weight=1) tk.Label(root, text = "KoboldCpp Easy Launcher", font = ("Arial", 12)).grid(row=0,column=0) tk.Label(root, text = "(Note: KoboldCpp only works with GGML model formats!)", font = ("Arial", 9)).grid(row=1,column=0) blasbatchopts = ["Don't Batch BLAS","BLAS = 32","BLAS = 64","BLAS = 128","BLAS = 256","BLAS = 512","BLAS = 1024"] blaschoice = tk.StringVar() blaschoice.set("BLAS = 512") runopts = ["Use OpenBLAS","Use CLBLast GPU #1","Use CLBLast GPU #2","Use CLBLast GPU #3","Use No BLAS","Use OpenBLAS (Old CPU, noavx2)","Failsafe Mode (Old CPU, noavx)"] runchoice = tk.StringVar() runchoice.set("Use OpenBLAS") def onDropdownChange(event): sel = runchoice.get() if sel==runopts[1] or sel==runopts[2] or sel==runopts[3]: frameC.grid(row=4,column=0,pady=4) else: frameC.grid_forget() frameA = tk.Frame(root) tk.OptionMenu( frameA , runchoice , command = onDropdownChange ,*runopts ).grid(row=0,column=0) tk.OptionMenu( frameA , blaschoice ,*blasbatchopts ).grid(row=0,column=1) frameA.grid(row=2,column=0) frameB = tk.Frame(root) threads_var=tk.StringVar() threads_var.set(str(default_threads)) threads_lbl = tk.Label(frameB, text = 'Threads: ', font=('calibre',10, 'bold')) threads_input = tk.Entry(frameB,textvariable = threads_var, font=('calibre',10,'normal')) threads_lbl.grid(row=0,column=0) threads_input.grid(row=0,column=1) frameB.grid(row=3,column=0,pady=4) frameC = tk.Frame(root) gpu_layers_var=tk.StringVar() gpu_layers_var.set("0") gpu_lbl = tk.Label(frameC, text = 'GPU Layers (CLBlast only): ', font=('calibre',10, 'bold')) gpu_layers_input = tk.Entry(frameC,textvariable = gpu_layers_var, font=('calibre',10,'normal')) gpu_lbl.grid(row=0,column=0) gpu_layers_input.grid(row=0,column=1) frameC.grid(row=4,column=0,pady=4) onDropdownChange(None) stream = tk.IntVar() smartcontext = tk.IntVar() launchbrowser = tk.IntVar(value=1) unbantokens = tk.IntVar() highpriority = tk.IntVar() disablemmap = tk.IntVar() frm3 = tk.Frame(root) tk.Checkbutton(frm3, text='Streaming Mode',variable=stream, onvalue=1, offvalue=0).grid(row=0,column=0) tk.Checkbutton(frm3, text='Use SmartContext',variable=smartcontext, onvalue=1, offvalue=0).grid(row=0,column=1) tk.Checkbutton(frm3, text='High Priority',variable=highpriority, onvalue=1, offvalue=0).grid(row=1,column=0) tk.Checkbutton(frm3, text='Disable MMAP',variable=disablemmap, onvalue=1, offvalue=0).grid(row=1,column=1) tk.Checkbutton(frm3, text='Unban Tokens',variable=unbantokens, onvalue=1, offvalue=0).grid(row=2,column=0) tk.Checkbutton(frm3, text='Launch Browser',variable=launchbrowser, onvalue=1, offvalue=0).grid(row=2,column=1) frm3.grid(row=5,column=0,pady=4) # Create button, it will change label text tk.Button( root , text = "Launch", font = ("Impact", 18), bg='#54FA9B', command = guilaunch ).grid(row=6,column=0) tk.Label(root, text = "(Please use the Command Line for more advanced options)", font = ("Arial", 9)).grid(row=7,column=0) root.mainloop() if launchclicked==False: print("Exiting by user request.") time.sleep(2) sys.exit() #load all the vars args.threads = int(threads_var.get()) args.gpulayers = int(gpu_layers_var.get()) args.stream = (stream.get()==1) args.smartcontext = (smartcontext.get()==1) args.launch = (launchbrowser.get()==1) args.unbantokens = (unbantokens.get()==1) args.highpriority = (highpriority.get()==1) args.nommap = (disablemmap.get()==1) selrunchoice = runchoice.get() selblaschoice = blaschoice.get() if selrunchoice==runopts[1]: args.useclblast = [0,0] if selrunchoice==runopts[2]: args.useclblast = [1,0] if selrunchoice==runopts[3]: args.useclblast = [0,1] if selrunchoice==runopts[4]: args.noblas = True if selrunchoice==runopts[5]: args.noavx2 = True if selrunchoice==runopts[6]: args.noavx2 = True args.noblas = True args.nommap = True print("[Failsafe Mode : mmap is disabled.]") if selblaschoice==blasbatchopts[0]: args.blasbatchsize = -1 if selblaschoice==blasbatchopts[1]: args.blasbatchsize = 32 if selblaschoice==blasbatchopts[2]: args.blasbatchsize = 64 if selblaschoice==blasbatchopts[3]: args.blasbatchsize = 128 if selblaschoice==blasbatchopts[4]: args.blasbatchsize = 256 if selblaschoice==blasbatchopts[5]: args.blasbatchsize = 512 if selblaschoice==blasbatchopts[6]: args.blasbatchsize = 1024 root = tk.Tk() root.attributes("-alpha", 0) args.model_param = askopenfilename(title="Select ggml model .bin files") root.destroy() if not args.model_param: print("\nNo ggml model file was selected. Exiting.") time.sleep(2) sys.exit(2) else: root = tk.Tk() #we dont want the useless window to be visible, but we want it in taskbar root.attributes("-alpha", 0) args.model_param = askopenfilename(title="Select ggml model .bin files") root.destroy() if not args.model_param: print("\nNo ggml model file was selected. Exiting.") time.sleep(2) sys.exit(2) def main(args): embedded_kailite = None if not args.model_param: args.model_param = args.model if not args.model_param: #give them a chance to pick a file print("For command line arguments, please refer to --help") print("Otherwise, please manually select ggml file:") try: show_gui() except Exception as ex: print("File selection GUI unsupported. Please check command line: script.py --help") print("Reason for no GUI: " + str(ex)) time.sleep(2) sys.exit(2) if args.hordeconfig and args.hordeconfig[0]!="": global friendlymodelname, maxlen friendlymodelname = "koboldcpp/"+args.hordeconfig[0] if len(args.hordeconfig) > 1: maxlen = int(args.hordeconfig[1]) if args.highpriority: print("Setting process to Higher Priority - Use Caution") try: import psutil os_used = sys.platform process = psutil.Process(os.getpid()) # Set high priority for the python script for the CPU oldprio = process.nice() if os_used == "win32": # Windows (either 32-bit or 64-bit) process.nice(psutil.REALTIME_PRIORITY_CLASS) print("High Priority for Windows Set: " + str(oldprio) + " to " + str(process.nice())) elif os_used == "linux": # linux process.nice(psutil.IOPRIO_CLASS_RT) print("High Priority for Linux Set: " + str(oldprio) + " to " + str(process.nice())) else: # MAC OS X or other process.nice(-18) print("High Priority for Other OS Set :" + str(oldprio) + " to " + str(process.nice())) except Exception as ex: print("Error, Could not change process priority: " + str(ex)) if args.contextsize: global maxctx maxctx = args.contextsize init_library() # Note: if blas does not exist and is enabled, program will crash. print("==========") time.sleep(1) if not os.path.exists(args.model_param): print(f"Cannot find model file: {args.model_param}") time.sleep(2) sys.exit(2) if args.lora and args.lora!="": if not os.path.exists(args.lora): print(f"Cannot find lora file: {args.lora}") time.sleep(2) sys.exit(2) else: args.lora = os.path.abspath(args.lora) if args.psutil_set_threads: import psutil args.threads = psutil.cpu_count(logical=False) print("Overriding thread count, using " + str(args.threads) + " threads instead.") if not args.blasthreads or args.blasthreads <= 0: args.blasthreads = args.threads modelname = os.path.abspath(args.model_param) print(f"Loading model: {modelname} \n[Threads: {args.threads}, BlasThreads: {args.blasthreads}, SmartContext: {args.smartcontext}]") loadok = load_model(modelname) print("Load Model OK: " + str(loadok)) if not loadok: print("Could not load model: " + modelname) time.sleep(2) sys.exit(3) try: basepath = os.path.abspath(os.path.dirname(__file__)) with open(os.path.join(basepath, "klite.embd"), mode='rb') as f: embedded_kailite = f.read() print("Embedded Kobold Lite loaded.") except: print("Could not find Kobold Lite. Embedded Kobold Lite will not be available.") if args.port_param!=defaultport: args.port = args.port_param print(f"Starting Kobold HTTP Server on port {args.port}") epurl = "" if args.host=="": epurl = f"http://localhost:{args.port}" else: epurl = f"http://{args.host}:{args.port}" if args.launch: try: import webbrowser as wb wb.open(epurl) except: print("--launch was set, but could not launch web browser automatically.") print(f"Please connect to custom endpoint at {epurl}") asyncio.run(run_server(args.host, args.port, embedded_kailite)) if __name__ == '__main__': print("Welcome to KoboldCpp - Version " + KcppVersion) # just update version manually # print("Python version: " + sys.version) parser = argparse.ArgumentParser(description='KoboldCpp Server') modelgroup = parser.add_mutually_exclusive_group() #we want to be backwards compatible with the unnamed positional args modelgroup.add_argument("--model", help="Model file to load", nargs="?") modelgroup.add_argument("model_param", help="Model file to load (positional)", nargs="?") portgroup = parser.add_mutually_exclusive_group() #we want to be backwards compatible with the unnamed positional args portgroup.add_argument("--port", help="Port to listen on", default=defaultport, type=int, action='store') portgroup.add_argument("port_param", help="Port to listen on (positional)", default=defaultport, nargs="?", type=int, action='store') parser.add_argument("--host", help="Host IP to listen on. If empty, all routable interfaces are accepted.", default="") parser.add_argument("--launch", help="Launches a web browser when load is completed.", action='store_true') parser.add_argument("--lora", help="LLAMA models only, applies a lora file on top of model. Experimental.", default="") physical_core_limit = 1 if os.cpu_count()!=None and os.cpu_count()>1: physical_core_limit = int(os.cpu_count()/2) default_threads = (physical_core_limit if physical_core_limit<=3 else max(3,physical_core_limit-1)) parser.add_argument("--threads", help="Use a custom number of threads if specified. Otherwise, uses an amount based on CPU cores", type=int, default=default_threads) parser.add_argument("--blasthreads", help="Use a different number of threads during BLAS if specified. Otherwise, has the same value as --threads",metavar=('[threads]'), type=int, default=0) parser.add_argument("--psutil_set_threads", help="Experimental flag. If set, uses psutils to determine thread count based on physical cores.", action='store_true') parser.add_argument("--highpriority", help="Experimental flag. If set, increases the process CPU priority, potentially speeding up generation. Use caution.", action='store_true') parser.add_argument("--contextsize", help="Controls the memory allocated for maximum context size, only change if you need more RAM for big contexts. (default 2048)", type=int,choices=[512,1024,2048,4096,8192], default=2048) parser.add_argument("--blasbatchsize", help="Sets the batch size used in BLAS processing (default 512). Setting it to -1 disables BLAS mode, but keeps other benefits like GPU offload.", type=int,choices=[-1,32,64,128,256,512,1024], default=512) parser.add_argument("--stream", help="Uses pseudo streaming when generating tokens. Only for the Kobold Lite UI.", action='store_true') parser.add_argument("--smartcontext", help="Reserving a portion of context to try processing less frequently.", action='store_true') parser.add_argument("--unbantokens", help="Normally, KoboldAI prevents certain tokens such as EOS and Square Brackets. This flag unbans them.", action='store_true') parser.add_argument("--usemirostat", help="Experimental! Replaces your samplers with mirostat. Takes 3 params = [type(0/1/2), tau(5.0), eta(0.1)].",metavar=('[type]', '[tau]', '[eta]'), type=float, nargs=3) parser.add_argument("--forceversion", help="If the model file format detection fails (e.g. rogue modified model) you can set this to override the detected format (enter desired version, e.g. 401 for GPTNeoX-Type2).",metavar=('[version]'), type=int, default=0) parser.add_argument("--nommap", help="If set, do not use mmap to load newer models", action='store_true') parser.add_argument("--usemlock", help="For Apple Systems. Force system to keep model in RAM rather than swapping or compressing", action='store_true') parser.add_argument("--noavx2", help="Do not use AVX2 instructions, a slower compatibility mode for older devices. Does not work with --clblast.", action='store_true') parser.add_argument("--debugmode", help="Shows additional debug info in the terminal.", action='store_true') parser.add_argument("--skiplauncher", help="Doesn't display or use the new GUI launcher.", action='store_true') parser.add_argument("--hordeconfig", help="Sets the display model name to something else, for easy use on AI Horde. An optional second parameter sets the horde max gen length.",metavar=('[hordename]', '[hordelength]'), nargs='+') compatgroup = parser.add_mutually_exclusive_group() compatgroup.add_argument("--noblas", help="Do not use OpenBLAS for accelerated prompt ingestion", action='store_true') compatgroup.add_argument("--useclblast", help="Use CLBlast instead of OpenBLAS for prompt ingestion. Must specify exactly 2 arguments, platform ID and device ID (e.g. --useclblast 1 0).", type=int, choices=range(0,9), nargs=2) parser.add_argument("--gpulayers", help="Set number of layers to offload to GPU when using CLBlast. Requires CLBlast.",metavar=('[GPU layers]'), type=int, default=0) args = parser.parse_args() main(args)