#!/usr/bin/env python3
"""
colibrì — tiny engine, immense model.
Run GLM-5.2 (744B) locally on CPU with roughly 15-26 GB of RAM.
coli chat interactive chat (loads the model once)
coli serve OpenAI-compatible HTTP API (persistent engine)
coli run "prompt" one-shot generation
coli info model, RAM, disk, and configuration status
coli plan Disk / RAM / VRAM resource plan
coli doctor installation and execution-plan diagnostics
coli bench [task...] quality benchmarks (MMLU/HellaSwag/...)
coli convert convert GLM-5.2-FP8 to int4, one shard at a time
coli build build the engine
Configuration through environment variables or flags (also valid after the subcommand):
COLI_MODEL=
model directory (default /home/vincenzo/glm52_i4)
--ram N RAM budget in GB (automatically sizes the expert cache)
--repin N adapt RAM/VRAM experts every N tokens
--topp P adaptive expert top-p --topk N fixed top-k
--ngen N maximum response tokens --cap N cache slots/layer
"""
import os, sys, subprocess, argparse, json, time, signal, shutil, threading, re, codecs, tempfile, textwrap
# The engine mmaps every shard (144+ files); macOS default RLIMIT_NOFILE is 256.
if sys.platform != "win32":
try:
import resource
_soft, _hard = resource.getrlimit(resource.RLIMIT_NOFILE)
_want = min(65536 if _hard == resource.RLIM_INFINITY else _hard, 65536)
if _soft < _want:
resource.setrlimit(resource.RLIMIT_NOFILE, (_want, _hard))
except (ImportError, ValueError, OSError):
pass
# Windows: forza output UTF-8 (console cp1252 tronca Unicode box-drawing/emoji)
if sys.platform == "win32":
for s in (sys.stdout, sys.stderr):
try: s.reconfigure(encoding="utf-8")
except (AttributeError, OSError): pass
HERE = os.path.dirname(os.path.abspath(__file__))
# Run-in-place (source checkout, "cd c && ./coli ..."): the engine, the
# support modules (resource_plan.py, doctor.py, openai_server.py) and
# tools/ all live next to this script — unchanged from before.
#
# Installed layout ("make install"): this script is $(PREFIX)/bin/coli,
# while the engine binaries and support files live in
# $(PREFIX)/libexec/colibri, since they aren't meant to be run directly
# by users. COLI_ENGINE overrides the engine path explicitly if neither
# guess is right (e.g. a custom packaging layout).
_EXE = ".exe" if sys.platform == "win32" else ""
_LIBEXEC = os.path.join(os.path.dirname(HERE), "libexec", "colibri")
_here_glm = os.path.join(HERE, "glm" + _EXE)
if os.environ.get("COLI_ENGINE"):
GLM = os.environ["COLI_ENGINE"]
TOOLS = os.path.join(os.path.dirname(GLM), "tools")
elif os.path.exists(_here_glm):
GLM = _here_glm
TOOLS = os.path.join(HERE, "tools")
else:
GLM = os.path.join(_LIBEXEC, "glm" + _EXE)
TOOLS = os.path.join(_LIBEXEC, "tools")
sys.path.insert(0, _LIBEXEC) # so `import resource_plan`, `doctor`, `openai_server` still resolve
DEF_MODEL = os.environ.get("COLI_MODEL", "/home/vincenzo/glm52_i4")
END = b"\x01\x01END\x01\x01\n"
READY = b"\x01\x01READY\x01\x01\n"
# ---------- palette & stile ----------
def _c(n): return f"\033[38;5;{n}m"
class C:
teal=_c(37); cyan=_c(80); mag=_c(170); org=_c(208); grn=_c(78); yel=_c(179)
dim="\033[2m"; b="\033[1m"; r="\033[0m"; gray=_c(242); dgray=_c(238)
@staticmethod
def off():
for k,v in vars(C).items():
if isinstance(v,str) and v.startswith("\033"): setattr(C,k,"")
TTY = sys.stdout.isatty() or os.environ.get("COLI_COLOR")=="1"
if not TTY: C.off()
# ---------- colibrì 8-bit (pixel art, 2 pixel verticali per carattere) ----------
SPRITE = [
"....MMM.........",
"...MMMMM..w.....",
"....MMMM.ww.....",
"OOOOTTeTCC......",
"....TTTTTCC.....",
".....TTTTCC.....",
"......TTCC......",
".......TC.......",
"........C.......",
"................",
]
PAL = {"M":170, "T":37, "C":80, "O":208, "e":231, "w":80, ".":None}
def sprite_lines():
if not TTY:
return [" (\\ ", " )·> ", " / \\ ", " ", " "]
out=[]
for y in range(0,len(SPRITE),2):
top, bot = SPRITE[y], SPRITE[y+1] if y+1 1.02 tok/s. Upstream #162: 1.47x.
# - PIPE=1: overlap load/matmul, +8% sopra DIRECT (byte-identico, riordina
# solo l'I/O). PIPE_WORKERS resta al default 8 (sweep 4/8/16 piatto).
# - PILOT_REAL=1: prefetch cross-layer con load veri (unico prefetch
# funzionante su Windows: fadvise e' no-op), +11%, hit rate +19 punti.
e.setdefault("DIRECT", "1")
e.setdefault("PIPE", "1")
e.setdefault("PILOT_REAL", "1")
e["COLI_POLICY"]=a.policy
if a.ram: e["RAM_GB"]=str(a.ram)
if a.ngen: e["NGEN"]=str(a.ngen)
if a.topp: e["TOPP"]=str(a.topp)
if a.topk: e["TOPK"]=str(a.topk)
if a.temp is not None: e["TEMP"]=str(a.temp) # 0 = greedy; default motore: 1.0 + nucleus 0.95
if a.repin: e["REPIN"]=str(a.repin)
if a.ctx: e["CTX"]=str(a.ctx)
if a.auto_tier:
from resource_plan import build_plan, environment_for_plan, format_bytes
if a.gpu is not None:
e.pop("COLI_GPU",None); e.pop("COLI_GPUS",None)
if a.gpu=="none":
e["COLI_CUDA"]="0"; e.pop("CUDA_EXPERT_GB",None); e.pop("CUDA_DENSE",None)
else: e.pop("COLI_CUDA",None)
elif e.get("COLI_CUDA")=="0":
e.pop("COLI_GPU",None); e.pop("COLI_GPUS",None)
e.pop("CUDA_EXPERT_GB",None); e.pop("CUDA_DENSE",None)
if a.vram and a.gpu!="none": e["CUDA_EXPERT_GB"]=str(a.vram)
try:
ram,ctx,devices,vram=resource_request(a,e)
plan=build_plan(a.model,ram,ctx,devices,vram,policy=a.policy)
except (OSError,ValueError,json.JSONDecodeError) as error:
sys.exit(f"{C.yel}invalid resource plan:{C.r} {error}")
has_cuda=cuda_binary()
e=environment_for_plan(plan,e,has_cuda)
rt=plan["tiers"]["ram"]; vt=plan["tiers"]["vram"]
gpu=f" · VRAM {format_bytes(vt['budget_bytes'])}" if has_cuda and vt["devices"] else " · CPU"
print(f" {C.dim}[PLAN] RAM {format_bytes(rt['budget_bytes'])} · cap {rt['cache_slots_per_layer']}/layer{gpu}{C.r}",file=sys.stderr)
else:
# --gpu/--vram SENZA --auto-tier: prima venivano ignorati in silenzio e il run
# partiva CPU-only senza alcun avviso — benchmark "GPU" pubblicati per errore (#121).
if a.gpu is not None:
e.pop("COLI_GPU",None); e.pop("COLI_GPUS",None)
if a.gpu=="none":
e["COLI_CUDA"]="0"; e.pop("CUDA_EXPERT_GB",None); e.pop("CUDA_DENSE",None)
else:
if not cuda_binary():
sys.exit(f"{C.yel}--gpu needs the CUDA build:{C.r} make glm CUDA=1 (this binary is CPU-only)")
e["COLI_CUDA"]="1"
if a.gpu!="auto": e["COLI_GPUS"]=a.gpu
e.setdefault("CUDA_DENSE","1")
if a.vram and a.gpu!="none":
if not cuda_binary():
sys.exit(f"{C.yel}--vram needs the CUDA build:{C.r} make glm CUDA=1 (this binary is CPU-only)")
e["COLI_CUDA"]="1"; e["CUDA_EXPERT_GB"]=str(a.vram)
return e
# ---------- rendering markdown in STREAMING per il terminale ----------
class MDStream:
"""Interpreta il markdown della risposta mentre arriva: i ``` diventano riquadri,
**x** grassetto vero, `x` colorato, # titoli, - puntini. I marker non si vedono mai.
Regge i chunk spezzati a meta' marker (hold-back) e l'output sporco (``` doppi)."""
def __init__(self, indent=" "):
self.ind=indent
self.cur="" # riga parziale non ancora emessa
self.code=False; self.lang=""
self.bold=False; self.icode=False
self.justclosed=False # l'ultima riga era una chiusura ```? (anti ``` doppi)
self.printed=0 # caratteri della riga corrente gia' emessi
def _fence(self, line):
lang=line.strip()[3:].strip().strip("`")
if not self.code:
if not lang and self.justclosed: return # ``` orfano dopo una chiusura: rumore, ignora
self.code=True; self.lang=lang
sys.stdout.write(f"{self.ind}{C.dgray}\u256d\u2500 {lang or 'code'}{C.r}\n")
elif lang: # ```lang mentre siamo GIA' in code: chiudi e riapri
sys.stdout.write(f"{self.ind}{C.dgray}\u2570\u2500{C.r}\n{self.ind}{C.dgray}\u256d\u2500 {lang}{C.r}\n")
self.lang=lang
else:
self.code=False; self.justclosed=True
sys.stdout.write(f"{self.ind}{C.dgray}\u2570\u2500{C.r}\n")
def _inline(self, txt, out):
i=0
while i=2: # **/***: grassetto on/off, gli asterischi spariscono
self.bold=not self.bold
out.append(C.b if self.bold else C.r)
else: out.append("*") # * singolo: lascialo (moltiplicazioni ecc.)
i=j; continue
out.append(ch); i+=1
def _line(self, line, partial=False):
if not partial and line.lstrip().startswith("```"):
self._fence(line); self.printed=0; return
if line.strip(): self.justclosed=False
seg=line[self.printed:] # emetti solo la parte nuova della riga
out=[]
if self.code:
if self.printed==0: out.append(f"{self.ind}{C.dgray}\u2502{C.r} {C.cyan}")
out.append(seg)
else:
if self.printed==0:
out.append(self.ind)
st=seg.lstrip()
if st.startswith("#"): # titolo: via i #, grassetto teal
seg=st.lstrip("#").strip(); out.append(f"{C.teal}{C.b}"); self.bold=True
elif st.startswith(("- ","* ")): # lista: puntino vero
seg=st[2:]; out.append(f"{C.teal}\u2022{C.r} ")
self._inline(seg,out)
sys.stdout.write("".join(out)); sys.stdout.flush()
self.printed=len(line)
if not partial: # fine riga: reset stati inline (robusto ai marker orfani)
sys.stdout.write(C.r+"\n"); sys.stdout.flush()
self.bold=self.icode=False
self.printed=0
def feed(self, s):
self.cur+=s
while "\n" in self.cur:
line,self.cur=self.cur.split("\n",1)
self._line(line)
st=self.cur.lstrip() # riga parziale: possibile fence? aspetta il newline
if st and (st.startswith("```") or (len(st)<3 and "```".startswith(st))):
return
if st.startswith("#") and self.printed==0:
return # titolo: rendi la riga intera al newline
hold=0 # trattieni marker potenzialmente spezzati in coda
while holdself.printed: self._line(safe, partial=True)
def close(self):
if self.cur: self._line(self.cur); self.cur=""
if self.code:
sys.stdout.write(f"\n{self.ind}{C.dgray}\u2570\u2500{C.r}"); self.code=False
sys.stdout.write(C.r); sys.stdout.flush()
class Spinner:
FRAMES=["⠋","⠙","⠹","⠸","⠼","⠴","⠦","⠧","⠇","⠏"]
def __init__(self,label,tick=None):
self.label=label; self.tick=tick; self.suffix=""
self.stop_evt=threading.Event(); self.t0=time.time(); self.th=None
def start(self):
if not TTY: return
def run():
i=0
while not self.stop_evt.is_set():
el=time.time()-self.t0
if self.tick and i%8==0: # ~1 Hz: legge il progresso dal log
try: self.suffix=self.tick() or self.suffix
except Exception: pass
suf=f" {C.dgray}· {self.suffix}{C.r}" if self.suffix else ""
sys.stdout.write(f"\r {C.teal}{self.FRAMES[i%10]}{C.r} {C.dim}{self.label} {el:.0f}s{C.r}{suf}\033[K")
sys.stdout.flush(); i+=1; time.sleep(0.12)
self.th=threading.Thread(target=run,daemon=True); self.th.start()
def stop(self):
self.stop_evt.set()
if self.th: self.th.join(timeout=0.4)
if TTY: sys.stdout.write("\r\033[K"); sys.stdout.flush()
def engine_diag(p, errlog=None):
"""Lo stdout del motore ha chiuso: il processo e' morto. Dire PERCHE'.
Un SIGKILL dell'OOM-killer del kernel e' altrimenti invisibile — niente errore,
niente exit code, il motore muore muto e sembra un bug nostro (issue #305).
Quasi sempre e' memoria: il picco reale ha sforato la RAM della macchina."""
try: rc=p.wait(timeout=5)
except Exception: rc=p.poll()
if rc is None: why="its output closed but the process is still alive"
elif rc<0: # POSIX: morte per segnale
try: why=f"killed by {signal.Signals(-rc).name}"
except Exception: why=f"killed by signal {-rc}"
elif rc>0: why=f"exit code {rc}"
else: why="exited cleanly"
print(f"\n {C.yel}[engine terminated: {why}]{C.r}")
if rc is not None and rc<0 and -rc==getattr(signal,"SIGKILL",-1):
print(f" {C.yel}nothing in the engine sends SIGKILL to itself: this is the kernel's\n"
f" OOM-killer. The peak RSS exceeded the machine's free memory.\n"
f" Lower --ram, lower PIN_GB, or shorten the context.{C.r}")
if errlog is not None:
try:
errlog.flush()
for _ in range(20): # il drain thread scrive su errlog quando il child chiude
tail=open(errlog.name).read().strip()
if tail: break
time.sleep(0.05)
if tail: print(f" {C.dgray}" + "\n ".join(tail.splitlines()[-6:]) + f"{C.r}")
except Exception: pass
def stream_turn(p, sentinel, on_bytes):
"""legge fino alla sentinella; on_bytes riceve i chunk della risposta. Poi legge la riga STAT.
Il PRIMO Ctrl-C durante lo stream non chiude la sessione: il motore (handler SIGINT)
chiude il turno per la via del tetto NGEN e noi dreniamo fino alla sentinella.
Un SECONDO Ctrl-C esce davvero."""
pend=b""; interrupted=False
while True:
try:
b=p.stdout.read(1)
except KeyboardInterrupt:
if interrupted or p.poll() is not None: raise
interrupted=True
try: p.send_signal(signal.SIGINT) # non-TTY: il motore potrebbe non aver visto il Ctrl-C
except Exception: pass
print(f"\n {C.yel}⏹ stopping… (Ctrl-C again to quit){C.r}", flush=True)
continue
if b==b"": return None
pend+=b
if pend.endswith(sentinel):
rest=pend[:-len(sentinel)]
if rest: on_bytes(rest)
line=p.stdout.readline().decode("utf-8","replace").strip() # STAT tok tps hit rss
m=re.match(r"STAT (\S+) (\S+) (\S+) (\S+)", line)
st={"tok":int(m.group(1)),"tps":float(m.group(2)),"hit":float(m.group(3)),"rss":float(m.group(4))} if m else {}
if interrupted: st["interrupted"]=True
return st
if len(pend)>len(sentinel):
out=pend[:-len(sentinel)]; pend=pend[-len(sentinel):]
on_bytes(out)
# ---------- comandi ----------
def cmd_build(a):
banner("build")
if not os.path.exists(os.path.join(HERE, "Makefile")):
sys.exit(f"{C.yel}coli build{C.r} only works from a source checkout (this is an installed copy).\n"
f" Clone https://github.com/JustVugg/colibri and run ./setup.sh, or make -C c glm.")
sys.exit(subprocess.call(["make","-C",HERE,"glm"]))
def cmd_info(a):
banner("info")
cfgp=os.path.join(a.model,"config.json")
def row(k,v): print(f" {C.gray}{k:<10}{C.r} {v}")
if os.path.exists(cfgp):
c=json.load(open(cfgp))
row("model", a.model)
row("arch", f"hidden {c.get('hidden_size')} · {c.get('num_hidden_layers')} layer · "
f"{c.get('n_routed_experts')} expert/layer · top-{c.get('num_experts_per_tok')}")
sts=[x for x in os.listdir(a.model) if x.endswith('.safetensors')]
sz=sum(os.path.getsize(os.path.join(a.model,x)) for x in sts)
row("shards", f"{len(sts)} files · {sz/1e9:.0f} GB on disk")
else:
print(f" {C.yel}config.json is missing (incomplete conversion?){C.r}")
try:
mi=open('/proc/meminfo').read()
tot=int(re.search(r'MemTotal:\s+(\d+)',mi).group(1))/1e6
av=int(re.search(r'MemAvailable:\s+(\d+)',mi).group(1))/1e6
row("RAM", f"{tot:.0f} GB total · {av:.1f} GB available")
except Exception: pass
try:
fs = shutil.disk_usage(a.model if os.path.isdir(a.model) else HERE)
row("disk", f"{fs.free/1e9:.0f} GB free")
except OSError:
row("disk", "? GB (unavailable)")
row("engine", "ready ✓" if os.path.exists(GLM) else "not built (coli build)")
knobs=[]
if a.ram: knobs.append(f"ram {a.ram}GB")
if a.topp: knobs.append(f"topp {a.topp}")
if a.topk: knobs.append(f"topk {a.topk}")
if knobs: row("tuning", " · ".join(knobs))
print()
def cmd_plan(a):
from resource_plan import build_plan, format_plan
try:
ram,ctx,devices,vram=resource_request(a,os.environ)
if ctx<1: raise ValueError("--ctx must be positive")
if a.vram<0: raise ValueError("--vram cannot be negative")
plan=build_plan(a.model,ram,ctx,devices,vram,policy=a.policy)
except (OSError, ValueError, json.JSONDecodeError) as error:
sys.exit(f"{C.yel}cannot create resource plan:{C.r} {error}")
if a.json:
print(json.dumps(plan,indent=2))
return
banner("plan · Disk / RAM / VRAM")
print(textwrap.indent(format_plan(plan)," "))
print()
def cmd_doctor(a):
from doctor import exit_code, format_doctor, run_doctor
try:
ram,ctx,devices,vram=resource_request(a,os.environ)
if ctx<1: raise ValueError("--ctx must be positive")
if ram<0: raise ValueError("--ram cannot be negative")
if vram<0: raise ValueError("--vram cannot be negative")
except ValueError as error:
report={"schema_version":1,"status":"error","model":os.path.abspath(a.model),
"checks":[{"id":"config.arguments","status":"fail","summary":str(error)}],
"plan":None}
print(json.dumps(report,indent=2) if a.json else format_doctor(report))
return 2
report=run_doctor(a.model,ram,ctx,devices,vram,engine_path=GLM)
print(json.dumps(report,indent=2) if a.json else format_doctor(report))
return exit_code(report)
def cmd_run(a):
need_model(a.model)
prompt=" ".join(a.prompt) if a.prompt else sys.exit('usage: coli run "your prompt"')
banner("run")
# template ufficiale GLM-5.2: niente \n dopo i ruoli; = risposta diretta (nothink)
e=env_for(a); e["PROMPT"]=f"[gMASK]<|user|>{prompt}<|assistant|>"
sys.exit(subprocess.call([GLM, str(a.cap)], env=e))
def cmd_chat(a):
need_model(a.model)
banner(f"chat · {os.path.basename(a.model)} · ram {a.ram or '-'}GB · topp {a.topp or 'off'}")
errlog=tempfile.NamedTemporaryFile(mode="w+", suffix=".log", delete=False)
e=env_for(a); e["SERVE"]="1"
# stderr -> PIPE, NOT stderr=errlog (file). On Windows/MinGW, pointing the
# child's stderr at a file/DEVNULL handle stalls the CRT so stdout (the byte
# protocol coli reads one byte at a time) never flushes and chat hangs at
# ~10 GB resident. A PIPE whose read end nobody drains still works: the
# engine emits only ~400 bytes of status to stderr, which fits comfortably
# in the OS pipe buffer, so it never blocks. We snapshot stderr into errlog
# once the READY sentinel arrives, so the status-line display below works
# exactly as before. (Do NOT add a concurrent stderr drain thread: on
# Windows, reading two child pipes simultaneously deadlocks CPython's IO.)
p=subprocess.Popen([GLM,str(a.cap)], env=e, stdin=subprocess.PIPE,
stdout=subprocess.PIPE, stderr=subprocess.PIPE, bufsize=0)
sp=Spinner("waking the giant (744B)…"); sp.start()
st=stream_turn(p, READY, lambda b: None)
sp.stop()
if st is None:
try: errlog.write(p.stderr.read().decode("utf-8","replace"))
except (OSError, ValueError): pass
errlog.flush(); errlog.seek(0); print(errlog.read()[-1500:])
engine_diag(p) # perche' e' morto (OOM-kill compreso); errlog e' gia' stampato sopra
sys.exit("the engine exited while loading")
p.stdout.readline() # TIERS line (web-dashboard protocol): emitted once right after STAT;
# left unread it leaks into the first answer's text
# READY received. Drain the child's stderr into errlog without blocking:
# the engine is still alive (blocked on stdin), so a plain read() would
# hang forever waiting for EOF. A short bounded drain grabs the ~400 bytes
# of load-time status ([RAM_GB], [MTP], ...) that were already emitted.
_drain_box={"done":False}
def _drain():
try: errlog.write(p.stderr.read().decode("utf-8","replace"))
except (OSError, ValueError): pass
_drain_box["done"]=True
threading.Thread(target=_drain, daemon=True).start()
_drain_box["th"]=threading.current_thread()
for _ in range(20): # up to ~1s for the load-status lines
if _drain_box["done"]: break
time.sleep(0.05)
errlog.flush()
try:
elog=open(errlog.name).read()
mload=re.search(r"loaded in ([0-9.]+)s \| resident dense: ([0-9.]+) MB", elog)
if mload: print(f" {C.grn}✓{C.r} ready in {mload.group(1)}s {C.dim}· resident {float(mload.group(2))/1000:.1f} GB · RSS {st.get('rss','?')} GB{C.r}")
for l in elog.splitlines(): # una riga di stato per riga, senza path
if l.startswith(("[RAM_GB","[PIN]","[MTP]","[USAGE]","[DSA]","[KV]")):
l=re.sub(r" ?\(?/[^ )]+\)?","",l.strip()) # via i percorsi lunghi
l=re.sub(r" from$","",l)
for chunk in textwrap.wrap(l, term_w()-4) or [l]:
print(f" {C.dgray}{chunk}{C.r}")
except Exception: pass
print(f" {C.dim}type and press Enter · Ctrl-C stops the answer · :more continues · :reset clears memory · :q exits{C.r}\n")
w=term_w()-4
def user_box(msg):
"""ri-disegna il messaggio dentro una box che si ADATTA su piu' righe:
l'input grezzo (che sborda) viene cancellato e sostituito dal testo avvolto."""
cols=shutil.get_terminal_size((80,20)).columns
used=max(1, (6+len(msg)+cols-1)//cols) # righe occupate dall'input (" │ › "+msg)
sys.stdout.write(f"\x1b[{used}A\x1b[0J") # su di N righe e pulisci fino in fondo
inner=w-3 # spazio utile: " │ › "+testo+"│" = w+4 colonne
lines=textwrap.wrap(msg, inner) or [""]
for i,ln in enumerate(lines):
pre = f"{C.teal}{C.b}›{C.r}" if i==0 else " "
print(f" {C.dgray}│{C.r} {pre} {ln}{' '*(inner-len(ln))}{C.dgray}│{C.r}")
print(f" {C.dgray}╰{'─'*w}╯{C.r}")
try:
while True:
if TTY:
print(f" {C.dgray}╭{'─'*w}╮{C.r}")
try: msg=input(f" {C.dgray}│{C.r} {C.teal}{C.b}›{C.r} ")
except EOFError: print(); break
try: user_box(msg.strip())
except Exception: print(f" {C.dgray}╰{'─'*w}╯{C.r}")
else:
try: msg=input()
except EOFError: break
msg=msg.strip()
if msg in (":q",":quit","exit"): break
if not msg: continue
if msg==":reset":
p.stdin.write(b"\x02RESET\n"); p.stdin.flush()
stream_turn(p, END, lambda b: None)
print(f" {C.dim}✦ memory cleared{C.r}\n"); continue
if msg in (":piu",":più",":more",":continua"):
p.stdin.write(b"\x02MORE\n"); p.stdin.flush()
else:
p.stdin.write((msg.replace("\n"," ")+"\n").encode()); p.stdin.flush()
print(f"\n {C.teal}◆ colibrì{C.r}")
dec=codecs.getincrementaldecoder("utf-8")("replace")
state={"first":True}
def prefill_tick(path=errlog.name):
try:
with open(path) as f:
f.seek(max(0, os.path.getsize(path)-1500)); tail=f.read()
pl=[l for l in tail.splitlines() if l.startswith("[prefill]")]
return pl[-1].replace("[prefill] ","prefill ") if pl else ""
except Exception: return ""
sp2=Spinner("thinking…", tick=prefill_tick); sp2.start()
md=MDStream(" ") # markdown -> terminale, in streaming
raw=os.environ.get("COLI_RAW")=="1"
def echo(bs, _dec=dec, _st=state):
if _st["first"]:
sp2.stop(); _st["first"]=False
if raw: sys.stdout.write(" ")
s=_dec.decode(bs)
if not s: return
if raw: sys.stdout.write(s.replace("\n","\n ")); sys.stdout.flush()
else: md.feed(s)
t0=time.time()
st=stream_turn(p, END, echo)
if not raw: md.close()
sp2.stop()
if st is None: engine_diag(p, errlog); break
el=time.time()-t0
if st.get("tok"):
print(f"\r {C.dgray}└─ {st['tok']} tok · {st['tps']:.2f} tok/s · hit {st['hit']:.0f}% · RSS {st['rss']:.1f} GB · {el:.0f}s{C.r}")
if st.get("interrupted"):
print(f" {C.yel}⏹ interrupted; type :more to continue the response{C.r}")
elif st["tok"]>=a.ngen:
print(f" {C.yel}…stopped at --ngen ({a.ngen}); type :more to continue the response{C.r}")
print()
else:
if st.get("interrupted"): print(f" {C.yel}⏹ interrupted{C.r}")
print()
except KeyboardInterrupt:
print(f"\n {C.dim}interrupted{C.r}")
finally:
try: p.stdin.close(); p.terminate()
except Exception: pass
try: os.unlink(errlog.name)
except Exception: pass
print(f" {C.teal}goodbye{C.r} {C.dim}— the hummingbird returns to its nest{C.r} 🐦\n")
def cmd_serve(a):
need_model(a.model)
from openai_server import serve
serve(a.model, a.host, a.port, a.model_id, a.api_key,
a.cap,a.ngen,GLM,env_for(a),a.cors_origin,
a.max_queue,a.queue_timeout,a.kv_slots)
def cmd_web(a):
"""serve + open the dashboard in the browser once the API answers."""
need_model(a.model)
dist = os.path.join(os.path.dirname(os.path.abspath(HERE)), "web", "dist")
if not os.path.exists(os.path.join(dist, "index.html")):
print(f"{C.yel}web UI not built:{C.r} run cd web && npm install && npm run build first;")
print("serving the API anyway (the dashboard will 404 until built).")
url = f"http://{a.host}:{a.port}/"
if not getattr(a, "no_browser", False):
import threading, urllib.request, webbrowser
def opener():
for _ in range(600): # the 744B engine takes minutes to load
time.sleep(2)
try:
urllib.request.urlopen(f"http://{a.host}:{a.port}/health", timeout=2)
webbrowser.open(url); return
except OSError:
continue
threading.Thread(target=opener, daemon=True).start()
print(f"dashboard: {url} (opens automatically when the engine is ready)")
cmd_serve(a)
def cmd_bench(a):
need_model(a.model)
banner("bench")
# python con `tokenizers`: l'ambiente del progetto se c'e', altrimenti quello corrente
venv_py = os.path.join(HERE, "mio_env", "Scripts" if sys.platform == "win32" else "bin", "python3")
py = venv_py if os.path.exists(venv_py) else sys.executable
tasks = ",".join(a.tasks) if a.tasks else "hellaswag,arc_challenge,mmlu"
# dataset mancanti -> li scarica una volta (fetch_benchmarks.py li mette in --data come JSONL)
missing=[t for t in tasks.split(",") if not os.path.exists(os.path.join(a.data,f"{t}.jsonl"))]
if missing:
print(f" {C.dim}downloading missing datasets: {', '.join(missing)}{C.r}")
subprocess.call([py, os.path.join(TOOLS,"fetch_benchmarks.py"),
"--out", a.data, "--tasks", ",".join(missing), "--limit", str(max(a.limit,200))])
cmd=[py, os.path.join(TOOLS,"eval_glm.py"), "--glm", GLM, "--snap",a.model,
"--tasks", tasks, "--limit", str(a.limit), "--data", a.data]
if a.ram: cmd+=["--ram",str(a.ram)]
e=env_for(a)
print(f" {C.dim}decode is disk-bound: this takes HOURS on slow hardware. Raise --limit on faster machines.{C.r}\n")
sys.exit(subprocess.call(cmd, env=e))
def cmd_convert(a):
banner("convert")
# python con torch/safetensors: l'ambiente del progetto se c'e', altrimenti quello corrente
venv_py = os.path.join(HERE, "mio_env", "Scripts" if sys.platform == "win32" else "bin", "python3")
py = venv_py if os.path.exists(venv_py) else sys.executable
base=[py, os.path.join(TOOLS,"convert_fp8_to_int4.py"),
"--repo", a.repo, "--outdir", a.model, "--ebits", str(a.ebits), "--io-bits", str(a.io_bits)]
if a.xbits: base+=["--xbits",str(a.xbits)]
# passo 1: modello principale (78 layer). Resumabile: riparte dagli shard mancanti.
print(f" {C.dim}[1/2] model: {' '.join(base)}{C.r}")
rc=subprocess.call(base)
if rc!=0: sys.exit(rc)
if a.no_mtp: sys.exit(0)
# passo 2: testa MTP (layer 78). SEMPRE int8: a int4 i draft sbagliano quasi sempre
# (acceptance 0-4% vs 39-59%, misurato — issue #8) e la speculazione non parte mai.
mtp_cmd=list(base); i=mtp_cmd.index("--ebits"); mtp_cmd[i+1]=str(max(8,a.ebits))
print(f" {C.dim}[2/2] int8 MTP head (speculative drafts){C.r}")
sys.exit(subprocess.call(mtp_cmd+["--mtp"]))
def main():
common=argparse.ArgumentParser(add_help=False)
common.add_argument("--model", default=DEF_MODEL); common.add_argument("--ram", type=int, default=0) # 0 = auto (il motore usa l'88% della RAM disponibile)
common.add_argument("--auto-tier",action="store_true",help="automatically apply the RAM/VRAM plan")
common.add_argument("--ctx",type=int,default=0)
common.add_argument("--gpu",default=None,help="auto, none, or a device list such as 0,1")
common.add_argument("--vram",type=float,default=0,help="total VRAM budget in GB (0=auto)")
common.add_argument("--policy",choices=("quality","balanced","experimental-fast"),
default=os.environ.get("COLI_POLICY","quality"),
help="resource policy (explicit --topk/--topp overrides warn and proceed)")
common.add_argument("--repin", type=int, default=0, help="adapt RAM/VRAM experts every N tokens")
common.add_argument("--cap", type=int, default=8); common.add_argument("--ngen", type=int, default=1024) # rete di sicurezza: la fine vera la decidono gli stop token
common.add_argument("--topp", type=float, default=0); common.add_argument("--topk", type=int, default=0)
common.add_argument("--temp", type=float, default=None) # temperatura token (0=greedy, default 1.0+nucleus .95)
ap=argparse.ArgumentParser(prog="coli", parents=[common], description="colibrì — run GLM-5.2 locally")
sub=ap.add_subparsers(dest="cmd")
sub.add_parser("build", parents=[common]); sub.add_parser("info", parents=[common])
pp=sub.add_parser("plan",parents=[common])
pp.add_argument("--json",action="store_true")
pd=sub.add_parser("doctor",parents=[common])
pd.add_argument("--json",action="store_true",help="emit a versioned JSON report")
pr=sub.add_parser("run", parents=[common]); pr.add_argument("prompt", nargs="*")
sub.add_parser("chat", parents=[common])
ps=sub.add_parser("serve", parents=[common])
ps.add_argument("--host",default="127.0.0.1"); ps.add_argument("--port",type=int,default=8000)
ps.add_argument("--model-id",default=os.environ.get("COLI_MODEL_ID","glm-5.2-colibri"))
ps.add_argument("--api-key",default=os.environ.get("COLI_API_KEY"))
ps.add_argument("--cors-origin",action="append",default=None)
ps.add_argument("--max-queue",type=int,default=int(os.environ.get("COLI_MAX_QUEUE","8")))
ps.add_argument("--queue-timeout",type=float,default=float(os.environ.get("COLI_QUEUE_TIMEOUT","300")))
ps.add_argument("--kv-slots",type=int,default=int(os.environ.get("COLI_KV_SLOTS","1")))
pw=sub.add_parser("web", parents=[common], help="serve + open the dashboard in a browser")
for arg,kw in (("--host",dict(default="127.0.0.1")),("--port",dict(type=int,default=8000)),
("--model-id",dict(default=os.environ.get("COLI_MODEL_ID","glm-5.2-colibri"))),
("--api-key",dict(default=os.environ.get("COLI_API_KEY"))),
("--cors-origin",dict(action="append",default=None)),
("--max-queue",dict(type=int,default=int(os.environ.get("COLI_MAX_QUEUE","8")))),
("--queue-timeout",dict(type=float,default=float(os.environ.get("COLI_QUEUE_TIMEOUT","300")))),
("--kv-slots",dict(type=int,default=int(os.environ.get("COLI_KV_SLOTS","1"))))):
pw.add_argument(arg,**kw)
pw.add_argument("--no-browser",action="store_true",help="don't auto-open the browser")
pb=sub.add_parser("bench", parents=[common]); pb.add_argument("tasks", nargs="*")
pb.add_argument("--limit",type=int,default=40)
if sys.platform == "win32":
_cache_root = os.environ.get("LOCALAPPDATA", os.path.expanduser("~\\AppData\\Local"))
else:
_cache_root = os.environ.get("XDG_CACHE_HOME", os.path.expanduser("~/.cache"))
_bench_cache = os.path.join(_cache_root, "colibri", "bench")
pb.add_argument("--data",default=_bench_cache)
pc=sub.add_parser("convert", parents=[common]); pc.add_argument("--repo",default="zai-org/GLM-5.2-FP8")
pc.add_argument("--ebits",type=int,default=4); pc.add_argument("--io-bits",type=int,default=8); pc.add_argument("--xbits",type=int,default=0)
pc.add_argument("--no-mtp",action="store_true",help="skip the MTP head (no speculative drafts)")
a=ap.parse_args()
handler={"build":cmd_build,"info":cmd_info,"plan":cmd_plan,"doctor":cmd_doctor,
"run":cmd_run,"chat":cmd_chat,"serve":cmd_serve,"bench":cmd_bench,
"convert":cmd_convert,"web":cmd_web}.get(a.cmd)
if handler: sys.exit(handler(a) or 0)
banner(); print(__doc__)
if __name__=="__main__":
signal.signal(signal.SIGINT, signal.default_int_handler)
main()