Llama 3.1 70B Instruct
CurrentLatestLlama 3.1 70B Instruct is a mid-size open-weights instruct model balancing quality and deployability on a single large GPU or small multi-GPU nodes.
Open weights LLM · Release — · Llama 3.1 Community License
Updated 1 day ago · Verified Apr 2026 · Score 78
Decision summary
Why teams reach for it, where it fits, and what to watch for — before you dive into specs.
Why teams choose it
- Quantized deployments (4/8-bit) are common—track eval drift vs fp16.
- License requires acceptable use review for commercial redistribution.
Best use cases
- Use this when on-prem chat for regulated industries
- Use this when fine-tunes on proprietary documents
Tradeoffs
- Still weaker than frontier closed models on hardest tasks.
- Ops overhead for monitoring and safety layers.
Technical details
Modalities, benchmarks, and release context.
Modalities
What goes in and what comes out.
- Inputs
- text
- Outputs
- text
- Capabilities
- reasoning, coding, fine-tuning
Benchmarks snapshot
Structured JSON for reproducible comparisons.
No benchmark data yet — see comparisons for relative performance.
Family lineup
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Continue exploring
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Compare with
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Learn & build
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