Image-Text-to-Text
Transformers
Safetensors
lfm3_vl
feature-extraction
liquid
lfm3
edge
decision
classification
extraction
calibration
system-one
multimodal
decision-model
custom_code
conversational
Eval Results
Instructions to use LiquidAI/d1-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiquidAI/d1-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="LiquidAI/d1-2B", trust_remote_code=True) messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LiquidAI/d1-2B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use LiquidAI/d1-2B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "LiquidAI/d1-2B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LiquidAI/d1-2B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/LiquidAI/d1-2B
- SGLang
How to use LiquidAI/d1-2B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "LiquidAI/d1-2B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LiquidAI/d1-2B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "LiquidAI/d1-2B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LiquidAI/d1-2B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use LiquidAI/d1-2B with Docker Model Runner:
docker model run hf.co/LiquidAI/d1-2B
File size: 16,157 Bytes
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from __future__ import annotations
import datetime as dt
import math
import re
import unicodedata
from decimal import Decimal
from functools import cache
# Month names a date is written with (accents folded; Polish and Russian in the genitive a date uses), and weekdays,
# which a date may lead with.
_MONTHS = (
"january janvier januar enero gennaio janeiro januari stycznia styczen января",
"february fevrier februar febrero febbraio fevereiro februari lutego luty февраля",
"march mars marz marzo marco maart marca марта",
"april avril abril aprile kwietnia kwiecien апреля",
"may mai mayo maggio maio mei maj maja мая",
"june juin juni junio giugno junho czerwca czerwiec июня",
"july juillet juli julio luglio julho lipca lipiec июля",
"august aout agosto augustus augusti sierpnia sierpien августа",
"september septembre septiembre settembre setembro wrzesnia wrzesien сентября",
"october octobre oktober octubre ottobre outubro pazdziernika pazdziernik октября",
"november novembre noviembre novembro listopada listopad ноября",
"december decembre dezember diciembre dicembre dezembro grudnia grudzien декабря",
)
MONTHS = {name: month for month, names in enumerate(_MONTHS, 1) for name in names.split()}
_ABBREVIATIONS = {}
for _name, _month in MONTHS.items():
_ABBREVIATIONS.setdefault(_name[:3], set()).add(_month)
MONTHS.update({name: next(iter(months)) for name, months in _ABBREVIATIONS.items() if len(months) == 1})
MONTHS.update(janv=1, fevr=2, juil=7, sept=9)
WEEKDAYS = set("""monday tuesday wednesday thursday friday saturday sunday mon tue tues wed thu thur thurs fri sat sun
lundi mardi mercredi jeudi vendredi samedi dimanche montag dienstag mittwoch donnerstag freitag samstag sonntag lunes
martes miercoles jueves viernes sabado domingo lunedi martedi mercoledi giovedi venerdi sabato domenica segunda terca
quarta quinta sexta""".split())
CJK_DATE = re.compile(r"(\d{4})\s*[年년]\s*(\d{1,2})\s*[月월]\s*(\d{1,2})\s*[日일]") # 2026年10月20日, 2026년 10월 20일
NUMERIC_DATE = re.compile(r"(?<!\d)(\d{1,4})([/.-])(\d{1,2})\2(\d{2,4})(?!\d)")
_MONTH_NAME = "|".join(sorted(MONTHS, key=len, reverse=True))
WORD_DATE = re.compile(rf"\b(?:\d{{1,2}}\w*[ .]+(?:de\s+)?(?:{_MONTH_NAME})[ ,.]+(?:de\s+)?\d{{4}}"
rf"|(?:{_MONTH_NAME})[ .]+\d{{1,2}}\w*[ ,.]+\d{{4}})\b") # in folded text: 20 octobre 2026
# Currencies by the decimal mark their amounts are written with: "" for none (whole units), None for both in use.
CURRENCIES = {
".": ("$", "£", "₹", "USD", "GBP", "CAD", "AUD", "NZD", "INR", "Rs.", "Rs", "MXN", "CNY", "RMB", "元", "HKD", "SGD"),
",": ("R$", "BRL", "₽", "RUB", "zł", "PLN", "kr", "SEK", "NOK", "DKK", "₺", "TRY"),
"": ("¥", "¥", "円", "₩", "₫", "Rp.", "Rp", "IDR", "JPY", "KRW", "VND", "CLP"),
None: ("€", "EUR", "CHF"),
}
_NAMES = {c.casefold(): c for cs in CURRENCIES.values() for c in cs}
_MARK = {c.casefold(): mark for mark, cs in CURRENCIES.items() for c in cs}
_CURRENCY = "(?i:" + "|".join(rf"\b{re.escape(c)}(?![a-z])" if c[0].isascii() and c[0].isalpha() else re.escape(c)
for c in sorted(_NAMES.values(), key=len, reverse=True)) + ")"
# Scale words, written apart or attached: unambiguous, so no context needed (German "Billion" is 10^12: left out).
SCALES = {**dict.fromkeys(("thousand", "mil", "tausend", "тыс", "千"), 10**3), **dict.fromkeys(("万", "萬"), 10**4),
**dict.fromkeys(("lakh", "lakhs"), 10**5), **dict.fromkeys(("crore", "crores"), 10**7),
**dict.fromkeys(("million", "millions", "mio", "mln", "millón", "millones", "milhão", "milhões", "milione",
"milioni", "млн"), 10**6), **dict.fromkeys(("亿", "億"), 10**8),
**dict.fromkeys(("billion", "billions", "milliard", "milliards", "milliarde", "milliarden", "mrd", "miliardo",
"miliardi", "млрд"), 10**9), "trillion": 10**12}
_SCALE = re.compile(r"\s*(" + "|".join(sorted(map(re.escape, SCALES), key=len, reverse=True)) + r")\.?$", re.I)
_SUFFIX = re.compile(r"(?<=\d)(k|m|bn|b)$", re.I) # attached k, M, B: a magnitude only beside money or a count
_COUNTED = re.compile(r"\b(?:money|price|invoice|revenue|cost|count|quantity|population|people|items|units|users|"
r"downloads)\b", re.I)
_GROUPED = re.compile(r"(?<![\d.,])\d{1,3}(?:([,. \u00a0\u202f'’])\d{3})+(?!\1)([.,])\d+(?![\d.,])") # 1 234,50
_SHORT = re.compile(r"(?<![\d.,])\d+([.,])\d{1,2}(?![\d.,])") # 12,50: a decimal, never a group
_REPEATED = re.compile(r"(?<![\d.,])\d{1,3}(?:([.,])\d{3}){2,}(?![\d.,])") # 1.234.567: a group, never a decimal
_LOCALE = re.compile(r'\b(?:locale|language|lang)["\']?\s*[=:]\s*["\']?(en|fr|de|es|it|pt|nl|pl|ru|sv|ja|zh|ko)'
r"(?:[-_][a-z]{2})?\b")
def _one(values: set):
"""The one value evidence settles on; None when it holds none or disagrees with itself."""
return next(iter(values)) if len(values) == 1 else None
def written_unit(text: str) -> str | None:
"""Only an explicitly written percent or currency marker; a currency sign stays a sign."""
if text.rstrip().endswith("%"):
return "%"
markers = re.findall(_CURRENCY, text)
return _NAMES[markers[0].casefold()] if len(markers) == 1 else None
def _currency_marks(text: str) -> set[str]:
"""The decimal marks of the currencies `text` writes ("" for whole units); a currency of both says nothing."""
return {_MARK[c.casefold()] for c in re.findall(_CURRENCY, text)} - {None}
def _decimal_mark(written: str, context: str) -> str | None:
"""The decimal mark ("" when amounts have none), from the first evidence that speaks: the span's own currency,
the document's other numbers, the document's currencies, a declared locale. Evidence that disagrees with itself
decides nothing; a markup declaration's numbers (`<?xml version="1.0"?>`) are not the document's."""
context = re.sub(r"<\?[^>]*\?>", "", context)
numbers = {m[2] for m in _GROUPED.finditer(context)} | {m[1] for m in _SHORT.finditer(context)}
numbers |= {"," if m[1] == "." else "." for m in _REPEATED.finditer(context)}
locales = {"." if lang in ("en", "ja", "zh", "ko") else "," for lang in _LOCALE.findall(context.casefold())}
return _one(next((marks for marks in (_currency_marks(written), numbers, _currency_marks(context), locales) if marks),
set()))
def parse_number(text: str, context: str = "", *, unit: str | None = None) -> int | float | None:
"""The written magnitude, percent points included: its currency and percent sign set apart, its scale word
applied; no implicit unit and no conversion. None when the writing does not settle one value."""
context += f"\n{unit}" if unit and re.fullmatch(_CURRENCY, unit.strip()) else ""
written = text
text = text.strip().replace("\u2212", "-").replace("\u00a0", " ").replace("\u202f", " ").removesuffix("%").rstrip()
negative = text.startswith("(") and text.endswith(")")
text = text[1:-1].strip() if negative else text
sign = currency = None
for _ in range(2): # one currency and one sign, in either order
if currency is None and (m := re.fullmatch(rf"({_CURRENCY})\s*(.*)|(.*?)\s*({_CURRENCY})", text)):
currency, text = m[1] or m[4], (m[2] if m[1] else m[3]).strip()
if sign is None and text[:1] in ("-", "+"):
sign, text = text[0], text[1:].strip()
if negative and sign:
return None
sign = sign or ""
scale = 1
if word := _SCALE.search(text):
scale, text = SCALES[word[1].lower()] if word[1] != "Billion" else 0, text[: word.start()]
elif suffix := _SUFFIX.search(text):
if not (re.search(_CURRENCY, written + "\n" + context) or _COUNTED.search(context)):
return None
scale, text = {"k": 10**3, "m": 10**6, "b": 10**9, "bn": 10**9}[suffix[1].lower()], text[: suffix.start()]
digits = _digits(text, written, context)
if digits is None or not scale:
return None
value = Decimal(("-" if negative else sign) + digits) * scale
if value == value.to_integral_value():
return int(value)
result = float(value)
return result if math.isfinite(result) else None
def _digits(text: str, written: str, context: str) -> str | None:
"""`text`'s number as plain digits and a point: the decimal mark from the evidence, the other mark a complete
grouping (threes, or India's lakh grouping beside a rupee)."""
if not re.fullmatch(r"\d[\d., '’]*", text):
return None
if re.search(r"[ '’]", text): # a space or an apostrophe only groups
grouping = re.fullmatch(r"(\d{1,3}(?:[ '’]\d{3})+)([.,]\d+)?", text)
return None if grouping is None else _digits(re.sub(r"[ '’]", "", grouping[1]) + (grouping[2] or ""), written,
context)
if re.fullmatch(r"\d{1,2}(?:,\d{2})+,\d{3}(?:\.\d+)?", text) and re.search(r"₹|\bINR\b|\bRs\b|lakh|crore",
written + "\n" + context, re.I):
return text.replace(",", "")
if "." in text and "," in text:
point, group = (".", ",") if text.rfind(".") > text.rfind(",") else (",", ".")
if not re.fullmatch(rf"\d{{1,3}}(?:{re.escape(group)}\d{{3}})+{re.escape(point)}\d+", text):
return None
return text.replace(group, "").replace(point, ".")
if "." not in text and "," not in text:
return text
mark = "." if "." in text else ","
parts = text.split(mark)
if not all(parts):
return None
point = _decimal_mark(written, context)
if len(parts) > 2 or point is not None and point != mark: # the mark groups: complete threes
return "".join(parts) if 1 <= len(parts[0]) <= 3 and all(len(p) == 3 for p in parts[1:]) else None
if point is None and len(parts[1]) == 3 and len(parts[0]) <= 3: # 1,250: a group or a decimal, unsettled
return None
return ".".join(parts)
def _fold(text: str) -> str:
return "".join(c for c in unicodedata.normalize("NFKD", text.casefold()) if not unicodedata.combining(c))
# a declared numeric date format, in English, French (jj/mm/aaaa), German (tt.mm.jjjj), Spanish or Italian (gg/mm/aaaa)
_DAY, _MONTH, _YEAR = r"(?:dd?|jj?|tt?|gg?|day|jour|tag|dia|giorno)", r"(?:mm?|month|mois|monat|mes|mese)", \
r"(?:yy(?:yy)?|aa(?:aa)?|jj(?:jj)?|year|annee|jahr|ano|anno)"
DATE_FORMATS = ((rf"\b{_DAY}\s*[/.-]\s*{_MONTH}\s*[/.-]\s*{_YEAR}\b", "dmy"),
(rf"\b{_MONTH}\s*[/.-]\s*{_DAY}\s*[/.-]\s*{_YEAR}\b", "mdy"))
def date_order(context: str, folded: str | None = None) -> str | None:
"""Declared format/locale first, then the state's other unambiguous numeric dates; conflicts stay unresolved.
`folded`: `context` already folded."""
folded = _fold(context) if folded is None else folded
explicit = set()
for pattern, order in DATE_FORMATS:
if re.search(pattern, folded):
explicit.add(order)
if explicit:
return _one(explicit)
locales = re.findall(
r'\b(?:locale|language|lang|langue|sprache|idioma|lingua)["\']?\s*[=:]\s*["\']?'
r"(en(?:[-_](?:us|gb|au|ca))?|fr(?:[-_]fr)?|de(?:[-_]de)?|es(?:[-_]es)?|it(?:[-_]it)?)\b",
folded,
)
if locales:
return _one({"mdy" if locale.replace("_", "-") in ("en", "en-us") else "dmy" for locale in locales})
orders = set()
for match in NUMERIC_DATE.finditer(context):
a, b, year = int(match[1]), int(match[3]), int(match[4])
if len(match[4]) != 4 or a > 31 or b > 31 or a < 1 or b < 1:
continue
for day, month, order in ((a, b, "dmy"), (b, a, "mdy")):
try:
dt.date(year, month, day)
except ValueError:
continue
if (a > 12) != (b > 12):
orders.add(order)
return _one(orders)
def _candidates(year: int, a: int, b: int, order: str | None) -> list[tuple[int, int, int]]:
"""(year, month, day) for `a`/`b`/year: day first, month first, or the one the context's `order` says."""
dmy, mdy = (year, b, a), (year, a, b)
return [dmy, mdy] if order is None else [dmy if order == "dmy" else mdy]
def parse_date(text: str, context: str = "") -> tuple[str | None, bool]:
"""ISO value and unresolved-ambiguity flag; an invalid or unrecognised span is (None, False)."""
folded = cache(lambda: _fold(context)) # the context folded and its date order, once, when a date needs them
return _parse_date(text, context, folded, cache(lambda: date_order(context, folded())))
def _parse_date(text: str, context: str, folded, order) -> tuple[str | None, bool]:
text = text.strip()
if not text:
return None, False
# Keep an explicitly written time and timezone, with no default time or timezone.
timed = re.fullmatch(r"(.+?)[T\s]+(\d{1,2}:\d{2}(?::\d{2}(?:\.\d+)?)?(?:Z|[+-]\d{2}:\d{2})?)", text)
if timed:
date, ambiguous = _parse_date(timed[1], context, folded, order)
if date is None:
return None, ambiguous
try:
clock = timed[2]
if clock[1] == ":":
clock = "0" + clock
return dt.datetime.fromisoformat(date + "T" + clock).isoformat(), False
except ValueError:
return None, False
numeric = NUMERIC_DATE.fullmatch(text)
if numeric:
a, b, c = int(numeric[1]), int(numeric[3]), int(numeric[4])
if len(numeric[1]) == 4:
candidates = [(a, b, c)]
elif len(numeric[4]) == 4:
candidates = _candidates(c, a, b, order())
else:
# A century is never invented: another unambiguous complete date must establish it.
if len(numeric[4]) != 2:
return None, False
centuries = set()
complete = [
match[0] for match in NUMERIC_DATE.finditer(context) if len(match[1]) == 4 or len(match[4]) == 4
]
complete.extend(match[0] for match in WORD_DATE.finditer(folded()))
for candidate in complete:
value, ambiguous = _parse_date(candidate, context, folded, order)
if value is not None and not ambiguous:
centuries.add(int(value[:4]) // 100 * 100)
if len(centuries) != 1:
return None, False
candidates = _candidates(centuries.pop() + c, a, b, order())
values = set()
for year, month, day in candidates:
try:
values.add(dt.date(year, month, day).isoformat())
except ValueError:
pass
if len(values) > 1:
return None, True
return next(iter(values), None), False
if cjk := CJK_DATE.fullmatch(text):
try:
return dt.date(*map(int, cjk.groups())).isoformat(), False
except ValueError:
return None, False
words = _fold(text)
words = re.sub(r"(?<=\d)(?:st|nd|rd|th|er)\b", "", words)
words = re.sub(r"(?<=\d)\.?(?:o|a|°)\b", "", words)
words = re.sub(r"\b(?:de|of|the|le|el|il|den)\b", " ", words)
words = re.sub(r"[,.]", " ", words).split()
if words and words[0].removesuffix("-feira") in WEEKDAYS: # Tue, 20 Oct 2026; segunda-feira, 20 de ...
words = words[1:]
if len(words) != 3:
return None, False
if words[0] in MONTHS:
month, day, year = MONTHS[words[0]], words[1], words[2]
elif words[1] in MONTHS:
day, month, year = words[0], MONTHS[words[1]], words[2]
else:
return None, False
if not day.isdigit() or not year.isdigit() or len(year) != 4:
return None, False
try:
return dt.date(int(year), month, int(day)).isoformat(), False
except ValueError:
return None, False
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