Henbane-7b-attempt2
Edens-Gate's Henbane-7b-attempt2 packs 7 billion parameters into a chat model. Henbane-7b-attempt2 is an open-weights chat model with roughly 7 billion parameters.
by Edens-Gate · 7B parameters
Best for
Ways to use Henbane-7b-attempt2 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Edens-Gate API key. osFoundry discovers Henbane-7b-attempt2 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
Henbane-7b-attempt2 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 Henbane-7b-attempt2
Henbane-7b-attempt2 runs on a single 16GB consumer GPU (~5 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~17 GB).
Henbane-7b-attempt2 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Henbane-7b-attempt2
Is Henbane-7b-attempt2 free to use?
Henbane-7b-attempt2 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 Henbane-7b-attempt2 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 Henbane-7b-attempt2 need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Henbane-7b-attempt2 locally?
Yes. Henbane-7b-attempt2 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Henbane-7b-attempt2 best at?
Henbane-7b-attempt2 is well-suited to text generation.
How do I use Henbane-7b-attempt2 in osFoundry?
Paste your Edens-Gate API key in the key dialog (or deploy the open weights for self-hostable models), assign Henbane-7b-attempt2 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Edens-Gate on September 13, 2024. Source: https://huggingface.co/Edens-Gate/Henbane-7b-attempt2