Llama 3.1 8B Instruct
CurrentLatestLlama 3.1 8B Instruct is a small open-weights model for edge laptops, single-GPU servers, and ultra-low-latency assistants.
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
- Great for local dev loops before scaling to larger checkpoints.
- Pair with retrieval for factual tasks—param memory alone is limited.
Best use cases
- Use this when on-device assistants
- Use this when high-volume classification
Tradeoffs
- Struggles with complex multi-step reasoning.
- Safety filters are deployment-specific.
Technical details
Modalities, benchmarks, and release context.
Modalities
What goes in and what comes out.
- Inputs
- text
- Outputs
- text
- Capabilities
- edge, low latency, fine-tuning
Benchmarks snapshot
Structured JSON for reproducible comparisons.
No benchmark data yet — see comparisons for relative performance.
Family lineup
Explore other versions in this family after you have the headline on this model.
Continue exploring
A short set of comparisons, nearby models, and links to go deeper — without repeating the same paths.
Compare with
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Llama 3.2 3B Instruct
Llama 3.2 3B Instruct is a compact instruct model in Meta’s 3.2 generation aimed at mobile and edge scenarios with multilingual support on supported checkpoints. Verify hardware targets and license terms for your distribution channel.
Learn & build
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