AIPAI Pentium
← Model index
text-generation

ressl/Ornith-1.5-35B-A3B-uncensored-MLX-6bit

ressl/Ornith-1.5-35B-A3B-uncensored-MLX-6bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.

View on Hugging Face ↗Add to comparison
Parameters35.0B
Downloads627
Likes1
Licensemit
Librarymlx
Hardware tierDatacenter
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 128 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 128 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 text-generation models

text-generation

Qwen/Qwen3-0.6B

Qwen/Qwen3-0.6B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.

↓ 21,493,027♡ 1,588
600M4 GB+ VRAMapache-2.0
Deployment details →
text-generation

openai-community/gpt2

openai-community/gpt2 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 14,748,356♡ 3,732
Unknown8 GB+ VRAMmit
Deployment details →
text-generation

Qwen/Qwen3-8B

Qwen/Qwen3-8B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 13,046,829♡ 1,356
8.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation

Qwen/Qwen2.5-7B-Instruct

Qwen/Qwen2.5-7B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.

↓ 10,440,548♡ 1,586
7.0B24 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