Can Open Source LLMs Models Perform Common Business Tasks?

Can open source AI models actually handle real business work?

👉 https://localaibench.com
👉 https://bit.ly/dailyai-join Join the channel

Can open source AI models actually handle real business work?

No synthetic benchmarks. No PhD-level math problems. Just practical tasks like turning meeting notes into action items—the kind of work that eats up hours every week.

📊 SEE THE FULL RESULTS: https://localaibench.com

In this video:
Why I built LocalAI Bench
The testing setup (Promptfoo + LM Studio + local hardware)
How I'm using 3 AI judges for consistent scoring
First results: which models passed and which struggled
What's coming next

MODELS TESTED:
✅ Google Gemma 3n - 80%
✅ OpenAI OSS 20B - 80%
⚠️ Meta Llama 3.1 8B - 60%
⚠️ Qwen 3 - 60%
❌ DeepSeek R1 - 53%
❌ Mistral 7B - 20%

(Claude Sonnet 4 included as cloud baseline)

This is Phase 1—meeting notes extraction. More use cases coming soon:
→ Email response drafting
→ Document summarization
→ RFP to quote conversion
→ Code review assistance

🔔 Subscribe for updates as I add more models and test cases.

CHAPTERS:
0:00 - Why I'm doing this
1:00 - The testing setup
2:00 - First results breakdown
3:30 - What worked, what didn't
4:30 - What's next

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Hardware: AMD Strix Halo, 128GB RAM
Inference: LM Studio
Evaluation: Promptfoo
Judges: Claude, GPT-4, Gemini

#OpenSourceAI #LocalAI #LLMBenchmark #AIForBusiness