Writing_Partner_Mistral_7B
Built by FPHam, Writing_Partner_Mistral_7B is a 7 billion parameter chat model. Writing_Partner_Mistral_7B is an open-weights chat model with roughly 7 billion parameters.
by FPHam · 7B parameters
Best for
Ways to use Writing_Partner_Mistral_7B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your FPHam API key. osFoundry discovers Writing_Partner_Mistral_7B 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
Writing_Partner_Mistral_7B 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 Writing_Partner_Mistral_7B
Writing_Partner_Mistral_7B 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).
Writing_Partner_Mistral_7B vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| Writing_Partner_Mistral_7B | FPHam | 7B | — | Free (local) | Yes |
| Trida-7B | trillionlabs | 7B | — | Free (local) | Yes |
| Evangelion-7B | VitalContribution | 7B | — | Free (local) | Yes |
| Seed-X-Instruct-7B-GGUF | mradermacher | 7B | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Writing_Partner_Mistral_7B
Is Writing_Partner_Mistral_7B free to use?
Writing_Partner_Mistral_7B 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 Writing_Partner_Mistral_7B 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 Writing_Partner_Mistral_7B need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Writing_Partner_Mistral_7B locally?
Yes. Writing_Partner_Mistral_7B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Writing_Partner_Mistral_7B best at?
Writing_Partner_Mistral_7B is well-suited to text generation.
How do I use Writing_Partner_Mistral_7B in osFoundry?
Paste your FPHam API key in the key dialog (or deploy the open weights for self-hostable models), assign Writing_Partner_Mistral_7B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by FPHam on November 13, 2023. Source: https://huggingface.co/FPHam/Writing_Partner_Mistral_7B