ALMA-13B-Pretrain
haoranxu's ALMA-13B-Pretrain packs 13 billion parameters into a chat model. ALMA-13B-Pretrain is an open-weights chat model with roughly 13 billion parameters.
by haoranxu · 13B parameters
Best for
Ways to use ALMA-13B-Pretrain in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your haoranxu API key. osFoundry discovers ALMA-13B-Pretrain 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
ALMA-13B-Pretrain 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 ALMA-13B-Pretrain
ALMA-13B-Pretrain runs on a single 16GB consumer GPU (~8 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~32 GB).
ALMA-13B-Pretrain vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ALMA-13B-Pretrain
Is ALMA-13B-Pretrain free to use?
ALMA-13B-Pretrain 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 ALMA-13B-Pretrain 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 ALMA-13B-Pretrain need?
Approximately 8 GB at Q4 quantisation, or 32 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run ALMA-13B-Pretrain locally?
Yes. ALMA-13B-Pretrain is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ALMA-13B-Pretrain best at?
ALMA-13B-Pretrain is well-suited to text generation.
How do I use ALMA-13B-Pretrain in osFoundry?
Paste your haoranxu API key in the key dialog (or deploy the open weights for self-hostable models), assign ALMA-13B-Pretrain to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by haoranxu on September 17, 2023. Source: https://huggingface.co/haoranxu/ALMA-13B-Pretrain