README.md

metadata

base_model: MihaiPopa-1/OmniTranslate-1.0
tags:
  - text-generation-inference
  - translation
  - transformers
  - unsloth
  - qwen3
  - omnitranslate
license: apache-2.0
language:
  - abk
  - abq
  - abs
  - acm
  - adh
  - adi
  - ady
  - aeb
  - afr
  - agx
  - aii
  - aim
  - ain
  - ajz
  - akb
  - aln
  - als
  - alt
  - amh
  - anp
  - aoz
  - apc
  - apt
  - arb
  - arg
  - arq
  - ars
  - ary
  - arz
  - asm
  - ast
  - atb
  - ava
  - awa
  - ayp
  - ayr
  - azb
  - azj
  - bak
  - bam
  - ban
  - bar
  - bas
  - bbc
  - bbk
  - bcl
  - bdq
  - bel
  - ben
  - bew
  - bho
  - bhp
  - bis
  - biu
  - bjn
  - bod
  - bos
  - brh
  - brx
  - bts
  - btx
  - bug
  - bul
  - bwi
  - bxr
  - cat
  - cbk
  - ccp
  - ceb
  - ces
  - cfm
  - cha
  - che
  - chr
  - chu
  - chv
  - cjs
  - ckb
  - ckt
  - cmn
  - cnh
  - cnw
  - cos
  - crh
  - crj
  - crk
  - crl
  - crs
  - csb
  - csw
  - csy
  - ctd
  - cym
  - czt
  - dak
  - dan
  - dar
  - deu
  - dik
  - diu
  - div
  - dje
  - dks
  - dln
  - dng
  - dnw
  - doi
  - dru
  - dsb
  - dtp
  - dty
  - dzo
  - ekk
  - ell
  - emj
  - eng
  - enl
  - enm
  - epo
  - ess
  - eus
  - eve
  - ewo
  - ext
  - fao
  - fas
  - ffm
  - fij
  - fil
  - fin
  - fit
  - fkv
  - fmu
  - fra
  - fro
  - frp
  - fry
  - fuf
  - fur
  - fuv
  - gag
  - gaz
  - gcf
  - gla
  - gle
  - glg
  - glk
  - glv
  - gmh
  - gnb
  - goh
  - gom
  - gos
  - grc
  - gsw
  - gug
  - guj
  - guz
  - hac
  - hae
  - hak
  - hat
  - hau
  - haw
  - hbo
  - heb
  - her
  - hif
  - hil
  - hin
  - hmr
  - hne
  - hns
  - hrv
  - hrx
  - hsb
  - hun
  - hwc
  - hye
  - hyw
  - iba
  - ibg
  - ibo
  - ife
  - ike
  - ikt
  - ilo
  - ina
  - ind
  - inh
  - isl
  - ita
  - ivv
  - jav
  - jpn
  - jun
  - kaa
  - kab
  - kac
  - kak
  - kal
  - kam
  - kan
  - kas
  - kat
  - kaz
  - kbd
  - kca
  - kdh
  - kdr
  - kea
  - kei
  - kgp
  - kha
  - khk
  - khm
  - kik
  - kin
  - kir
  - kiu
  - kjb
  - kjh
  - kmr
  - knc
  - koi
  - kor
  - kos
  - kpv
  - krj
  - krl
  - kru
  - ksh
  - ksw
  - ktj
  - ktz
  - kua
  - kum
  - kwn
  - kyu
  - kzj
  - lad
  - lao
  - lat
  - lbe
  - ldn
  - lew
  - lez
  - lfn
  - lim
  - lin
  - lis
  - lit
  - lki
  - lld
  - lmk
  - lnd
  - lrc
  - ltg
  - ltz
  - lud
  - lug
  - luo
  - lus
  - lvs
  - lwg
  - lzh
  - mag
  - mah
  - mai
  - mak
  - mal
  - mar
  - mas
  - mbf
  - mdf
  - mer
  - mfe
  - mfg
  - mfy
  - mhi
  - mhr
  - mhy
  - min
  - mip
  - mjw
  - mkd
  - mlt
  - mni
  - mnk
  - mns
  - mnw
  - moh
  - mph
  - mqy
  - mri
  - mrj
  - mrw
  - mtg
  - mui
  - mup
  - mus
  - mvp
  - mwf
  - mwl
  - mww
  - mya
  - myv
  - myx
  - mzh
  - nah
  - nan
  - nap
  - naq
  - nbu
  - nde
  - ndo
  - nds
  - new
  - nio
  - njn
  - njo
  - nld
  - nmf
  - nmz
  - nno
  - nob
  - nog
  - non
  - npi
  - npo
  - nrf
  - nri
  - nrm
  - nse
  - nus
  - nya
  - nyn
  - nzm
  - obo
  - oci
  - ojb
  - olo
  - orv
  - ory
  - oss
  - ota
  - oto
  - otw
  - pam
  - pan
  - pap
  - pbt
  - pcd
  - pck
  - pcm
  - pfl
  - plt
  - pmq
  - pmx
  - pnb
  - pnt
  - pol
  - por
  - pov
  - ppk
  - pps
  - prg
  - pui
  - pxm
  - quc
  - qul
  - qup
  - qus
  - quz
  - raw
  - rcf
  - rel
  - rhg
  - ria
  - rjs
  - rmc
  - rml
  - rmn
  - rmy
  - rnl
  - roh
  - ron
  - rtm
  - rue
  - run
  - rus
  - sah
  - san
  - sat
  - sck
  - scn
  - sda
  - sdc
  - sdh
  - ses
  - sgc
  - sgh
  - sid
  - sin
  - sju
  - skr
  - slk
  - slv
  - sma
  - sme
  - smj
  - smn
  - smo
  - sms
  - smt
  - sna
  - snd
  - som
  - sot
  - spa
  - srd
  - srp
  - ssw
  - sul
  - sun
  - swe
  - swg
  - swh
  - syc
  - syl
  - szl
  - tab
  - tam
  - taq
  - tat
  - tcy
  - tcz
  - tel
  - tet
  - tgk
  - tha
  - thl
  - tig
  - tir
  - tkl
  - tkr
  - tlh
  - tly
  - tok
  - ton
  - tpi
  - tpw
  - trc
  - trp
  - trs
  - ttj
  - tuk
  - tur
  - tuv
  - twx
  - tyv
  - tzl
  - tzm
  - udm
  - uig
  - ukr
  - urd
  - uzn
  - uzs
  - vap
  - vie
  - vot
  - vro
  - war
  - way
  - wba
  - wbm
  - wes
  - whk
  - wlx
  - wol
  - wsg
  - wwa
  - xal
  - xho
  - xmm
  - xmv
  - xog
  - yaz
  - ydd
  - yor
  - yrk
  - yrl
  - yua
  - yue
  - zea
  - zgh
  - zom
  - zsm
  - zul
pipeline_tag: translation
datasets:
  - MihaiPopa-1/OmniSurgical-1.1

OmniTranslate 1.1

OmniTranslate 1.1 is a massively multilingual machine translation model supporting over 500 languages. Fine-tuned from Qwen 3 0.6B (with Unsloth), this model is designed for translation tasks on any device!

Features

• 500+ Languages Supported: The broadest coverage of languages supported for a translation model that's under 1 billion parameters!
• Tiny Size: Beats any other large model on speed and memory usage. No other model is able to compete with this!

Improvements over 1.0

• OmniTranslate now makes less hiccups when translating to Romanian (like "ami"), and the diacritic bug on Romanian translations has been mostly fixed!

There's a tiny chance that the model will spit out without diacritics (mostly due to seeds) though, so try a different one.

Experimental Features

• We added 2 new languages, Emoji and Sulfuristic Speak (my own language for OmniTranslate 1.1 to quite fit the Chaos Cubed Minecraft vibe!). Try these out:

Emoji

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

# 1. Load from your Hugging Face Repo
model_id = "MihaiPopa-1/OmniTranslate-1.1"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.float32, # Standard for CPU
    device_map="cpu"           # Forces CPU usage
)

# 2. Translate to Emoji
prompt = "<|im_start|>user\nTranslate to emj_Emoj: We love the world!<|im_end|>\n<|im_start|>assistant\n<think>\n"
inputs = tokenizer(prompt, return_tensors="pt").to("cpu")

with torch.no_grad():
    outputs = model.generate(**inputs, max_new_tokens=64, temperature=0.1)
    
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Sulfuristic Speak

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

# 1. Load from your Hugging Face Repo
model_id = "MihaiPopa-1/OmniTranslate-1.1"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.float32, # Standard for CPU
    device_map="cpu"           # Forces CPU usage
)

# 2. Translate to Sulfuristic Speak ("Translate to Sulfuristic Speak" also works too!)
prompt = "<|im_start|>user\nTranslate to sul_Latn: Let's ride a Sulfur Cube!<|im_end|>\n<|im_start|>assistant\n<think>\n"
inputs = tokenizer(prompt, return_tensors="pt").to("cpu")

with torch.no_grad():
    outputs = model.generate(**inputs, max_new_tokens=128, temperature=0.1)
    
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Notes

OmniTranslate 1.1 is still a experimental model and shouldn't be used for tasks where accurate translations matter.

Notes

Providing the ISO code instead of the language name can improve the results a lot.

Usage

Code is by Gemini 3 Flash (then some little modifications by myself):

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

# 1. Load from your Hugging Face Repo
model_id = "MihaiPopa-1/OmniTranslate-1.1"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.float32, # Standard for CPU
    device_map="cpu"           # Forces CPU usage
)

# 2. Translate (replace ron_Latn with your language here)
prompt = "<|im_start|>user\nTranslate to ron_Latn: OmniTranslate is a massively multilingual machine translation model supporting over 500 languages!<|im_end|>\n<|im_start|>assistant\n<think>\n"
inputs = tokenizer(prompt, return_tensors="pt").to("cpu")

with torch.no_grad():
    outputs = model.generate(**inputs, max_new_tokens=256, temperature=0.1)
    
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Data Used

I used my own OmniSurgical 1.1, which the dataset itself contains a part of HF's FineTranslations

---

Uploaded finetuned model

• Developed by: MihaiPopa-1
• License: apache-2.0
• Finetuned from model : unsloth/qwen3-0.6b-unsloth-bnb-4bit

This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.