Negative_LLAMA_70B
SicariusSicariiStuff's Negative_LLAMA_70B packs 70 billion parameters into a chat model. Negative_LLAMA_70B is an open-weights chat model with roughly 70 billion parameters.
by SicariusSicariiStuff · 70B parameters
Best for
- complex multi-step reasoning
- agent orchestration with tool use
- long-document analysis and summarisation
Ways to use Negative_LLAMA_70B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your SicariusSicariiStuff API key. osFoundry discovers Negative_LLAMA_70B 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
Negative_LLAMA_70B 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 Negative_LLAMA_70B
Negative_LLAMA_70B runs on a single A100 80GB or H100 80GB at Q4 quantisation (~42 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~168 GB).
Negative_LLAMA_70B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Negative_LLAMA_70B
Is Negative_LLAMA_70B free to use?
Negative_LLAMA_70B 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 Negative_LLAMA_70B 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 Negative_LLAMA_70B need?
Approximately 42 GB at Q4 quantisation, or 168 GB at full FP16 precision. Fits on a single A100/H100 80GB.
Can I run Negative_LLAMA_70B locally?
Yes. Negative_LLAMA_70B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Negative_LLAMA_70B best at?
Negative_LLAMA_70B is well-suited to complex multi-step reasoning, agent orchestration with tool use, long-document analysis and summarisation.
How do I use Negative_LLAMA_70B in osFoundry?
Paste your SicariusSicariiStuff API key in the key dialog (or deploy the open weights for self-hostable models), assign Negative_LLAMA_70B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by SicariusSicariiStuff on January 11, 2025. Source: https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B