Request a quant or abliteration
Robinson Labs forges open models on a real homelab cluster: abliterated builds, REAP expert-pruned MoE variants, importance-matrix (imatrix) GGUF quant ladders, and custom cluster-fit quants. This repo is where you ask for one.
See what we have published: huggingface.co/RobinsonLabs.
How to request
Open a new Discussion (the Community tab at the top of this repo) with:
- A link to the model on Hugging Face (the original or base repo).
- What you want: a GGUF quant ladder, an abliterated build, a REAP-pruned variant, or a fit-quant tuned to a specific VRAM and context budget.
- Your target, if you have one: VRAM size, context length, or a specific quant (for example IQ4_XS, Q6_K).
One model per Discussion keeps things easy to track.
What we prioritize
We are a one-person homelab, not a quant farm, so we bias toward the gaps, the builds that do not already exist:
- Abliterated builds where there is no good uncensored variant yet.
- Abliterated REAP / expert-pruned MoE, a niche almost nobody fills.
- Custom cluster-fit quants tuned to a real VRAM and context budget (attention-path precision kept high where it counts, experts run lighter).
- Models that lack a solid imatrix GGUF ladder.
If a model already has good quants from the usual sources, we will likely point you there. Where we add value is the build that is missing.
What to expect
Best-effort, on hardware we own. No SLA, no queue promises. Every release ships with full provenance and credits the upstream base author. On abliterated builds, harm guardrails stay intact by design (self-harm prompts still redirect to help, and the build is not meant to assist genuine wrongdoing).
You are responsible for your use of any model published here.