Mistral-7B-Insurance
Mistral-7B-Insurance is a 7 billion parameter chat model from bitext, released August 15, 2024. Mistral-7B-Insurance is an open-weights chat model with roughly 7 billion parameters.
by bitext · 7B parameters
Best for
Ways to use Mistral-7B-Insurance in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your bitext API key. osFoundry discovers Mistral-7B-Insurance 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
Mistral-7B-Insurance 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 Mistral-7B-Insurance
Mistral-7B-Insurance 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).
Mistral-7B-Insurance vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Mistral-7B-Insurance
Is Mistral-7B-Insurance free to use?
Mistral-7B-Insurance 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 Mistral-7B-Insurance 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 Mistral-7B-Insurance need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Mistral-7B-Insurance locally?
Yes. Mistral-7B-Insurance is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Mistral-7B-Insurance best at?
Mistral-7B-Insurance is well-suited to text generation.
How do I use Mistral-7B-Insurance in osFoundry?
Paste your bitext API key in the key dialog (or deploy the open weights for self-hostable models), assign Mistral-7B-Insurance to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by bitext on August 15, 2024. Source: https://huggingface.co/bitext/Mistral-7B-Insurance