Liquid-A1B-8B-PL-Coder
HattoriHanzo1's Liquid-A1B-8B-PL-Coder packs 1 billion parameters into a chat model. Liquid-A1B-8B-PL-Coder is an open-weights chat model with roughly 1 billion parameters.
by HattoriHanzo1 · 1B parameters
Best for
Ways to use Liquid-A1B-8B-PL-Coder in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your HattoriHanzo1 API key. osFoundry discovers Liquid-A1B-8B-PL-Coder automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
Liquid-A1B-8B-PL-Coder is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
What hardware can run Liquid-A1B-8B-PL-Coder
Liquid-A1B-8B-PL-Coder runs on a single 16GB consumer GPU (~1 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~3 GB).
Liquid-A1B-8B-PL-Coder vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Liquid-A1B-8B-PL-Coder
Is Liquid-A1B-8B-PL-Coder free to use?
Liquid-A1B-8B-PL-Coder is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use Liquid-A1B-8B-PL-Coder commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does Liquid-A1B-8B-PL-Coder need?
Approximately 1 GB at Q4 quantisation, or 3 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Liquid-A1B-8B-PL-Coder locally?
Yes. Liquid-A1B-8B-PL-Coder is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Liquid-A1B-8B-PL-Coder best at?
Liquid-A1B-8B-PL-Coder is well-suited to text generation.
How do I use Liquid-A1B-8B-PL-Coder in osFoundry?
Paste your HattoriHanzo1 API key in the key dialog (or deploy the open weights for self-hostable models), assign Liquid-A1B-8B-PL-Coder to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by HattoriHanzo1 on January 29, 2026. Source: https://huggingface.co/HattoriHanzo1/Liquid-A1B-8B-PL-Coder