Buckets:
| 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 | |
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| - agx | |
| - aii | |
| - aim | |
| - ain | |
| - ajz | |
| - akb | |
| - aln | |
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| - amh | |
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| - aoz | |
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| - ars | |
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| - cat | |
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| - cfm | |
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| - chu | |
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| - cjs | |
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| - cmn | |
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| - cnw | |
| - cos | |
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| - crl | |
| - crs | |
| - csb | |
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| - csy | |
| - ctd | |
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| - 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 | |
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| - hbo | |
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| - her | |
| - hif | |
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| - 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) | |
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