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Model · Meta · Text

Llama 3.1 8B

Meta's small open-weight model. Runs on consumer hardware (16GB GPU or modern laptop) and remains a strong default for local-first AI.

Modality
Text
License
Llama 3 Community License (Open weights)
Parameter size
8B
Context window
128,000 tokens
Released
July 23, 2024
Last verified
October 28, 2026
Runs locally
Yes

What you need to run it

Mac
Yes. Any Apple Silicon Mac (M1 or newer) with at least 8 GB (16 GB recommended) of memory. Newer chips are faster, but memory is what decides whether it runs.
Windows / Linux PC
NVIDIA works best. A graphics card with at least 6 GB (8 GB recommended) of video memory.
No graphics card
Works. Runs on a normal computer's processor, just slower.

One of the easiest models to run: Ollama and LM Studio handle it on any recent Mac, and it is usable on a plain CPU.

Numbers are for: 4-bit build of the 8B (about 5 GB). Our estimate from the model’s size — the maker publishes no figure.

Strengths

  • Runs on a single consumer GPU or modern laptop
  • 128k context window
  • Mature ecosystem — widely supported runners

Weaknesses

  • Reasoning depth modest compared to 70B
  • Community License restricts use at >700M MAU

Try it

WhereTypeNotes
Hugging Face weights Gated — accept license to download
Ollama local ollama run llama3.1
Groq hosted-api Free tier
OpenRouter hosted-api API key required

Version history

  1. Llama 3.3 70B Dec 2024
  2. Llama 3.2 Vision Sep 2024
  3. Llama 3.1 8B Jul 2024 Current

Change log

  • — Added hardware requirements (Mac support, memory, NVIDIA). Source: estimate from size; Ollama llama3.1 page (4.9 GB); mlx-community Meta-Llama-3.1-8B-Instruct-4bit.
  • — Not deprecated: Meta has released no newer small Llama — its latest models are Llama 4 Scout and Maverick (April 2025), with no 8B-class size. For local use it is now outclassed by Gemma 4 E4B / 12B and Qwen3.5 9B, which add image input and thinking mode under the more permissive Apache 2.0.
  • — Initial entry.