# 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

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_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_noavx2 = pick_existant_file("koboldcpp_noavx2.dll","koboldcpp_noavx2.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_noavx2,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 non-avx2 compatibility library without OpenBLAS.")
        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_noavx2
    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

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=100,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_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 ""

#################################################################
### 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 = 128
modelbusy = False
defaultport = 5001
KcppVersion = "1.23.1"

class ServerRequestHandler(http.server.SimpleHTTPRequestHandler):
    sys_version = ""
    server_version = "ConcedoLlamaForKoboldServer"

    def __init__(self, addr, port, embedded_kailite):
        self.addr = addr
        self.port = port
        self.embedded_kailite = embedded_kailite

    def __call__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)

    def do_GET(self):
        global maxctx, maxlen, friendlymodelname, KcppVersion
        self.path = self.path.rstrip('/')
        response_body = None

        if self.path in ["", "/?"] or self.path.startswith(('/?','?')): #it's possible for the root url to have ?params without /
            if args.stream and not "streaming=1" in self.path:
                self.path = self.path.replace("streaming=0","")
                if self.path.startswith(('/?','?')):
                    self.path += "&streaming=1"
                else:
                    self.path = self.path + "?streaming=1"
                self.send_response(302)
                self.send_header("Location", self.path)
                self.end_headers()
                print("Force redirect to streaming mode, as --stream is set.")
                return None

            if self.embedded_kailite is None:
                response_body = (f"Embedded Kobold Lite is not found.<br>You will have to connect via the main KoboldAI client, or <a href='https://lite.koboldai.net?local=1&port={self.port}'>use this URL</a> to connect.").encode()
            else:
                response_body = self.embedded_kailite

        elif self.path.endswith(('/api/v1/model', '/api/latest/model')):
            response_body = (json.dumps({'result': friendlymodelname }).encode())

        elif self.path.endswith(('/api/v1/config/max_length', '/api/latest/config/max_length')):
            response_body = (json.dumps({"value": maxlen}).encode())

        elif self.path.endswith(('/api/v1/config/max_context_length', '/api/latest/config/max_context_length')):
            response_body = (json.dumps({"value": maxctx}).encode())

        elif self.path.endswith(('/api/v1/config/soft_prompt', '/api/latest/config/soft_prompt')):
            response_body = (json.dumps({"value":""}).encode())

        elif self.path.endswith(('/api/v1/config/soft_prompts_list', '/api/latest/config/soft_prompts_list')):
            response_body = (json.dumps({"values": []}).encode())

        elif self.path.endswith(('/api/v1/info/version', '/api/latest/info/version')):
            response_body = (json.dumps({"result":"1.2.2"}).encode())

        elif self.path.endswith(('/api/extra/version')):
            response_body = (json.dumps({"result":"KoboldCpp","version":KcppVersion}).encode())

        if response_body is None:
            self.send_response(404)
            self.end_headers()
            rp = 'Error: HTTP Server is running, but this endpoint does not exist. Please check the URL.'
            self.wfile.write(rp.encode())
        else:
            self.send_response(200)
            self.send_header('Content-Length', str(len(response_body)))
            self.end_headers()
            self.wfile.write(response_body)
        return

    def do_POST(self):
        global modelbusy
        content_length = int(self.headers['Content-Length'])
        body = self.rfile.read(content_length)
        basic_api_flag = False
        kai_api_flag = False
        self.path = self.path.rstrip('/')

        if modelbusy:
            self.send_response(503)
            self.end_headers()
            self.wfile.write(json.dumps({"detail": {
                    "msg": "Server is busy; please try again later.",
                    "type": "service_unavailable",
                }}).encode())
            return

        if self.path.endswith('/request'):
            basic_api_flag = True

        if self.path.endswith(('/api/v1/generate', '/api/latest/generate')):
            kai_api_flag = True

        if basic_api_flag or kai_api_flag:
            genparams = None
            try:
                genparams = json.loads(body)
            except ValueError as e:
                self.send_response(503)
                self.end_headers()
                return
            print("\nInput: " + json.dumps(genparams))

            modelbusy = True
            if kai_api_flag:
                fullprompt = genparams.get('prompt', "")
            else:
                fullprompt = genparams.get('text', "")
            newprompt = fullprompt

            recvtxt = ""
            res = {}
            if kai_api_flag:
                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', 200),
                    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=-1,
                    stop_sequence=genparams.get('stop_sequence', [])
                    )
                print("\nOutput: " + recvtxt)
                res = {"results": [{"text": recvtxt}]}
            else:
                recvtxt = generate(
                    prompt=newprompt,
                    max_length=genparams.get('max', 50),
                    temperature=genparams.get('temperature', 0.8),
                    top_k=genparams.get('top_k', 200),
                    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=-1,
                    stop_sequence=genparams.get('stop_sequence', [])
                    )
                print("\nOutput: " + recvtxt)
                res = {"data": {"seqs":[recvtxt]}}

            try:
                self.send_response(200)
                self.end_headers()
                self.wfile.write(json.dumps(res).encode())
            except:
                print("Generate: The response could not be sent, maybe connection was terminated?")
            modelbusy = False
            return
        self.send_response(404)
        self.end_headers()

    def do_OPTIONS(self):
        self.send_response(200)
        self.end_headers()

    def do_HEAD(self):
        self.send_response(200)
        self.end_headers()

    def end_headers(self):
        self.send_header('Access-Control-Allow-Origin', '*')
        self.send_header('Access-Control-Allow-Methods', '*')
        self.send_header('Access-Control-Allow-Headers', '*')
        if "/api" in self.path:
            self.send_header('Content-type', 'application/json')
        else:
            self.send_header('Content-type', 'text/html')

        return super(ServerRequestHandler, self).end_headers()


def RunServerMultiThreaded(addr, port, embedded_kailite = None):
    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
    sock.bind((addr, port))
    sock.listen(5)

    class Thread(threading.Thread):
        def __init__(self, i):
            threading.Thread.__init__(self)
            self.i = i
            self.daemon = True
            self.start()

        def run(self):
            handler = ServerRequestHandler(addr, port, embedded_kailite)
            with http.server.HTTPServer((addr, port), handler, False) as self.httpd:
                try:
                    self.httpd.socket = sock
                    self.httpd.server_bind = self.server_close = lambda self: None
                    self.httpd.serve_forever()
                except (KeyboardInterrupt,SystemExit):
                    self.httpd.server_close()
                    sys.exit(0)
                finally:
                    self.httpd.server_close()
                    sys.exit(0)
        def stop(self):
            self.httpd.server_close()

    numThreads = 6
    threadArr = []
    for i in range(numThreads):
        threadArr.append(Thread(i))
    while 1:
        try:
            time.sleep(10)
        except KeyboardInterrupt:
            for i in range(numThreads):
                threadArr[i].stop()
            sys.exit(0)


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("460x320")
        root.title("KoboldCpp v"+KcppVersion)
        tk.Label(root, text = "KoboldCpp Easy Launcher",
                font = ("Arial", 12)).pack(pady=4)
        tk.Label(root, text = "(Note: KoboldCpp only works with GGML model formats!)",
                font = ("Arial", 9)).pack()


        opts = ["Use OpenBLAS","Use CLBLast GPU #1","Use CLBLast GPU #2","Use CLBLast GPU #3","Use No BLAS","Use OpenBLAS (Old Devices)","Use No BLAS (Old Devices)"]
        runchoice = tk.StringVar()
        runchoice.set("Use OpenBLAS")
        tk.OptionMenu( root , runchoice , *opts ).pack()

        stream = tk.IntVar()
        smartcontext = tk.IntVar()
        launchbrowser = tk.IntVar(value=1)
        unbantokens = tk.IntVar()
        tk.Checkbutton(root, text='Streaming Mode',variable=stream, onvalue=1, offvalue=0).pack()
        tk.Checkbutton(root, text='Use SmartContext',variable=smartcontext, onvalue=1, offvalue=0).pack()
        tk.Checkbutton(root, text='Unban Tokens',variable=unbantokens, onvalue=1, offvalue=0).pack()
        tk.Checkbutton(root, text='Launch Browser',variable=launchbrowser, onvalue=1, offvalue=0).pack()

        # Create button, it will change label text
        tk.Button( root , text = "Launch", font = ("Impact", 18), bg='#54FA9B', command = guilaunch ).pack(pady=10)
        tk.Label(root, text = "(Please use the Command Line for more advanced options)",
                font = ("Arial", 9)).pack()

        root.mainloop()

        if launchclicked==False:
            print("Exiting by user request.")
            time.sleep(2)
            sys.exit()

        #load all the vars
        args.stream = (stream.get()==1)
        args.smartcontext = (smartcontext.get()==1)
        args.launch = (launchbrowser.get()==1)
        args.unbantokens = (unbantokens.get()==1)
        selchoice = runchoice.get()

        if selchoice==opts[1]:
            args.useclblast = [0,0]
        if selchoice==opts[2]:
            args.useclblast = [1,0]
        if selchoice==opts[3]:
            args.useclblast = [0,1]
        if selchoice==opts[4]:
            args.noblas = True
        if selchoice==opts[5]:
            args.nonoavx2 = True
        if selchoice==opts[6]:
            args.nonoavx2 = True
            args.noblas = True

        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.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}")
    RunServerMultiThreaded(args.host, args.port, embedded_kailite)

if __name__ == '__main__':
    print("Welcome to KoboldCpp - Version " + KcppVersion) # just update version manually
    parser = argparse.ArgumentParser(description='Kobold llama.cpp 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)", type=int,choices=[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')
    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)