← Model index
translation

mradermacher/Hy-MT2-30B-A3B-uncensored-heretic-i1-GGUF

mradermacher/Hy-MT2-30B-A3B-uncensored-heretic-i1-GGUF is a translation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

Parameters30.0B
Downloads4,007
Likes0
Licenseapache-2.0
Librarytransformers
Hardware tierProsumer
DEPLOYMENT NOTES

What to verify before deployment

  • Confirm the exact weight format and quantization.
  • Measure memory at your intended context or image size.
  • Review model-card limitations and evaluation methodology.
  • Test latency and throughput on your target runtime.
LICENSE SIGNAL

Likely commercial-friendly

License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.

Verify at the source →
RUN THIS MODEL

Choose how you want to deploy

GPU CLOUD · SIMPLE START

Rent a GPU sized for this model

Start with at least 48 GB VRAM, then measure memory and latency with your workload.

Check RunPod availability ↗Referral link. AI Pentium may earn credits or commission from qualifying new users.
GPU MARKETPLACE · PRICE SHOP

Compare marketplace GPU offers

Filter Vast.ai offers for a GPU with at least 48 GB VRAM and compare availability by region.

Compare GPUs on Vast.ai ↗Referral link. AI Pentium may earn commission from qualifying new users.
ORIGINAL SOURCE

Inspect weights and model card

Verify files, license terms, limitations and usage instructions before deploying.

View on Hugging Face ↗Source link; AI Pentium does not host model weights.
SIMILAR OPTIONS

More translation models

translation

google-t5/t5-small

google-t5/t5-small is a translation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

23,696,426600
Unknown8 GB+ VRAMapache-2.0
Deployment details
translation

google-t5/t5-base

google-t5/t5-base is a translation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

4,463,849791
Unknown8 GB+ VRAMapache-2.0
Deployment details
translation

facebook/nllb-200-distilled-600M

facebook/nllb-200-distilled-600M is a translation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

1,465,753969
Unknown8 GB+ VRAMcc-by-nc-4.0
Deployment details
translation

Helsinki-NLP/opus-mt-nl-en

Helsinki-NLP/opus-mt-nl-en is a translation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

1,174,66810
Unknown8 GB+ VRAMapache-2.0
Deployment details
translation

sarvamai/sarvam-translate

sarvamai/sarvam-translate is a translation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

16,588156
Unknown8 GB+ VRAMgpl-3.0
Deployment details
translation

tencent/Hy-MT2-30B-A3B-GGUF

tencent/Hy-MT2-30B-A3B-GGUF is a translation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

9,34616
30.0B24 GB+ VRAMapache-2.0
Deployment details

Operate a GPU cloud or inference API?

Reach developers after they have selected a model and are ready to run it.

Become a platform partner