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Model: mradermacher/OmniTranslate-1.1-GGUF Source: Original Platform
2026-04-20 08:05:25 +08:00
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 ---
 base_model: MihaiPopa-1/OmniTranslate-1.1
 datasets:
 - MihaiPopa-1/OmniSurgical-1.1
 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
 library_name: transformers
 license: apache-2.0
 mradermacher:
  readme_rev: 1
 quantized_by: mradermacher
 tags:
 - text-generation-inference
 - translation
 - transformers
 - unsloth
 - qwen3
 - omnitranslate
 ---
 ## About
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags:  -->
 <!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
 <!-- ### quants_skip:  -->
 <!-- ### skip_mmproj:  -->
 static quants of https://huggingface.co/MihaiPopa-1/OmniTranslate-1.1
 <!-- provided-files -->
 ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#OmniTranslate-1.1-GGUF).***
 weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
 ## Usage
 If you are unsure how to use GGUF files, refer to one of [TheBloke's
 READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
 more details, including on how to concatenate multi-part files.
 ## Provided Quants
 (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
 | [GGUF](https://huggingface.co/mradermacher/OmniTranslate-1.1-GGUF/resolve/main/OmniTranslate-1.1.Q2_K.gguf) | Q2_K | 0.4 |  |
 | [GGUF](https://huggingface.co/mradermacher/OmniTranslate-1.1-GGUF/resolve/main/OmniTranslate-1.1.Q3_K_S.gguf) | Q3_K_S | 0.4 |  |
 | [GGUF](https://huggingface.co/mradermacher/OmniTranslate-1.1-GGUF/resolve/main/OmniTranslate-1.1.Q3_K_M.gguf) | Q3_K_M | 0.4 | lower quality |
 | [GGUF](https://huggingface.co/mradermacher/OmniTranslate-1.1-GGUF/resolve/main/OmniTranslate-1.1.Q3_K_L.gguf) | Q3_K_L | 0.5 |  |
 | [GGUF](https://huggingface.co/mradermacher/OmniTranslate-1.1-GGUF/resolve/main/OmniTranslate-1.1.IQ4_XS.gguf) | IQ4_XS | 0.5 |  |
 | [GGUF](https://huggingface.co/mradermacher/OmniTranslate-1.1-GGUF/resolve/main/OmniTranslate-1.1.Q4_K_S.gguf) | Q4_K_S | 0.5 | fast, recommended |
 | [GGUF](https://huggingface.co/mradermacher/OmniTranslate-1.1-GGUF/resolve/main/OmniTranslate-1.1.Q4_K_M.gguf) | Q4_K_M | 0.5 | fast, recommended |
 | [GGUF](https://huggingface.co/mradermacher/OmniTranslate-1.1-GGUF/resolve/main/OmniTranslate-1.1.Q5_K_S.gguf) | Q5_K_S | 0.5 |  |
 | [GGUF](https://huggingface.co/mradermacher/OmniTranslate-1.1-GGUF/resolve/main/OmniTranslate-1.1.Q5_K_M.gguf) | Q5_K_M | 0.5 |  |
 | [GGUF](https://huggingface.co/mradermacher/OmniTranslate-1.1-GGUF/resolve/main/OmniTranslate-1.1.Q6_K.gguf) | Q6_K | 0.6 | very good quality |
 | [GGUF](https://huggingface.co/mradermacher/OmniTranslate-1.1-GGUF/resolve/main/OmniTranslate-1.1.Q8_0.gguf) | Q8_0 | 0.7 | fast, best quality |
 | [GGUF](https://huggingface.co/mradermacher/OmniTranslate-1.1-GGUF/resolve/main/OmniTranslate-1.1.f16.gguf) | f16 | 1.3 | 16 bpw, overkill |
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):
 ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
 And here are Artefact2's thoughts on the matter:
 https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
 ## FAQ / Model Request
 See https://huggingface.co/mradermacher/model_requests for some answers to
 questions you might have and/or if you want some other model quantized.
 ## Thanks
 I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
 me use its servers and providing upgrades to my workstation to enable
 this work in my free time.
 <!-- end -->