01
Model compression
Quantization and checkpoint optimization to shrink models without sacrificing your quality targets.
QuantizationGGUFSafetensors
AI model optimization
Faster, smaller, production-ready AI models.
We compress and tune large language and mixture-of-experts models so they run smaller, faster, and cheaper — without giving up the quality bar you set. Open weights on Hugging Face; custom engagements for teams shipping models in production.
Diffuse weightsCompressed
- Focus
- Compression
- Architectures
- MoE + dense
- Public catalog
- 8 releases · 24 GGUFs
- Engagements
- Custom
QuantizationMixture-of-expertsExpert routingLoRA / fine-tuningInference latency
01 — Services
Optimization that ships.
Strategy, engineering, and validation delivered as one system — from checkpoint assessment through artifacts you can actually deploy.
02
MoE optimization
Expert routing, utilization tuning, and deployment-friendly formats for mixture-of-experts architectures.
MoERoutingInference
03
Fine-tuning support
Training observability, checkpoint gating, and production-safe release workflows for custom models.
LoRATrainingEvals
04
Inference performance
Latency, throughput, and hardware-aware tuning so optimized models actually perform in production.
LatencyGPUServing
05
Custom engagements
Scoped optimization projects for enterprise ML teams — from assessment through validated delivery.
EnterpriseConsultingPartnerships
Not sure which of these you need?
Send us the model and the constraint you are up against — hardware, latency, cost, or memory — and we will tell you what is realistic.
Start a conversation02 — Process
A clear path from checkpoint to production.
Focused sprints, direct collaboration, and a measurable result at every stage — no black boxes.
- 01
Assess
Profile your model, hardware target, and quality bar before we touch a checkpoint.
- 02
Optimize
Compression, routing, and training or inference tuning with measurable benchmarks.
- 03
Ship
Validated artifacts, deployment guidance, and optional Hugging Face publication.
03 — Open weights
Optimized checkpoints, published in the open.
We publish certified precision ladders on our Omega‑Factory organization — 8 live open-weight releases comprising 24 immutable GGUF artifacts across Q8_0, Q4_K_M, and Q2_K rungs. Every release ships with deterministic holdout benchmarks (ARC-MC, GSM8K, MATH-500), item-level McNemar flip diagnostics, and cryptographic SHA-256 verification markers.
huggingface.co/Omega-Factory8 Releases Live
- Public checkpoints
- 8 models · 24 GGUFs
- Precision ladder
- Q8_0 · Q4_K_M · Q2_K
- License posture
- Apache 2.0 / Gemma / LFM
- Verification
- SHA-256 + N=200 evals
Featured certified ladders
View all 8Qwen3-Coder-Next MoE GGUF
MoE · 3.14B active · 48.5 GB (Q4_K_M)
Muse Glimmer 30B GGUF
Dense · 29.60B · 16.9 GB (Q4_K_M)
Granite 4.2 30B GGUF
Dense · 29.30B · 17.7 GB (Q4_K_M)
Qwen3-30B-A3B GGUF
MoE · 3.30B active · 14.2 GB (Q4_K_M)
Ready to make your model smaller?
Tell us what you are shipping, the hardware you are targeting, and the quality bar you cannot cross. We will tell you what is achievable before you commit to anything.
Or email us directly at hello@omega-factory.ai