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Model: MihaiPopa-1/OmniTranslate-1.1 Source: Original Platform
2026-06-06 16:07:18 +08:00
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+---
+base_model: MihaiPopa-1/OmniTranslate-1.0
+# base_model: Unsloth/Qwen3-0.6B-Unsloth-bnb-4bit - Variant that I used for fine-tuning (4-bit BNB quant by Unsloth)
+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
+- 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](https://www.huggingface.co/Qwen/Qwen3-0.6B) (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
+```python
+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
+```python
+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):
+```python
+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](https://www.huggingface.co/datasets/MihaiPopa-1/OmniSurgical-1.1), which the dataset itself contains a part of [HF's FineTranslations](https://www.huggingface.co/datasets/HuggingFaceFW/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](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)