OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf
OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf is a 34 billion parameter chat model from RichardErkhov, released September 16, 2024. OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf is an open-weights chat model with roughly 34 billion parameters.
by RichardErkhov · 34B parameters
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your RichardErkhov API key. osFoundry discovers OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf 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
OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf 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 OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf
OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf runs on a 24GB consumer or workstation GPU (~21 GB VRAM with KV-cache headroom). Full-precision inference requires an H200 141GB or 2x A100 80GB at FP16 (~82 GB).
OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf
Is OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf free to use?
OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf 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 OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf 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 OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf need?
Approximately 21 GB at Q4 quantisation, or 82 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf locally?
Yes. OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf best at?
OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf in osFoundry?
Paste your RichardErkhov API key in the key dialog (or deploy the open weights for self-hostable models), assign OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by RichardErkhov on September 16, 2024. Source: https://huggingface.co/RichardErkhov/OpenBuddy_-_openbuddy-yi1.5-34b-v21.3-32k-gguf