llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2
Built by kmseong, llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 is an chat model. llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 is an open-weights chat model.
by kmseong
Best for
Ways to use llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your kmseong API key. osFoundry discovers llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 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
llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 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.
llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 | kmseong | — | — | Free (local) | Yes |
| vosk-tts-ru-0.9-multi | drakulavich | — | — | Free (local) | Yes |
| aischeduler-llm | loitranyuki | — | — | Free (local) | Yes |
| kosmo-TEST | aixk | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2
Is llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 free to use?
llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 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 llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 locally?
Yes. llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 best at?
llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 is well-suited to text generation.
How do I use llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 in osFoundry?
Paste your kmseong API key in the key dialog (or deploy the open weights for self-hostable models), assign llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by kmseong on April 30, 2026. Source: https://huggingface.co/kmseong/llama2_7b_chat-SSFT-MMLU-FT-SafeInstr-0.1-lr3e-5_2