Meta made a bold move — Llama 2 is an open-source, commercially usable LLM. For enterprise: finally an alternative to vendor lock-in with OpenAI.
Llama 2 — What’s New¶
Three sizes: 7B, 13B, and 70B parameters. Chat versions fine-tuned with RLHF. The license allows commercial use.
Our Benchmarks¶
- Summarization: 85% of GPT-3.5 quality. Usable.
- Code generation: Java/Python solid, niche languages weaker.
- Czech language: Significantly worse than GPT-3.5.
- Reasoning: The 70B version is surprisingly good.
Self-Hosting¶
The 70B model needs ~140GB VRAM. Quantized versions run on consumer hardware — 13B on an RTX 4090. Data never leaves your infrastructure.
Enterprise Strategy¶
Open-source LLMs change the equation. For high-volume use cases, self-hosting can be more economical. Plus: no vendor lock-in, full control, data sovereignty.
Open-Source AI Is a Legitimate Enterprise Choice¶
We recommend a hybrid strategy — GPT-4 for complex reasoning, open-source for high-volume, privacy-sensitive tasks.
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