Featured Tool

Llama 3.1

Open-weight LLM by Meta available in 8B, 70B, and 405B parameter sizes.

Open SourceSelf HostedOffline CapableGPU Required (8GB+ VRAM)
0.0 (0)

About

Meta released Llama 3.1 in July 2024 as an open weight language model family in 8B, 70B, and 405B parameter sizes, each in pretrained and instruction tuned form. The models support a 128K token context window, multilingual text, and built-in tool calling, and the 405B variant was among the strongest openly available models at launch. Weights are distributed through Meta's site and Hugging Face under the Llama 3.1 Community License, which permits research and commercial use subject to an acceptable use policy and a usage threshold for the very largest deployments. Alongside the release, Meta reorganized its GitHub presence around the Llama Stack, splitting model utilities, safety tooling, and agent components into separate repositories and deprecating the original llama3 repo. Developers and businesses use Llama 3.1 as a base for fine-tuning, distillation to smaller models, and self hosted deployments where data control matters.

Should you use Llama 3.1?

Pick it when

Pick this as a well-understood base for fine-tuning or distillation, with 128K context and tool calling at 8B or 70B, or the 405B when you need a large dense teacher model and can host it.

Look elsewhere when

Skip it if Meta's community license, acceptable use policy, or large-deployment threshold is a problem, or if you need image input. Qwen 2.5 / Qwen 3 is Apache-2.0 at comparable sizes, and Llama 3.2 or Gemma 4 add vision.

Alternatives to Llama 3.1

  • Qwen 2.5 / Qwen 3

    Apache-2.0 with thinking and non-thinking modes, 100+ languages, and more size steps from 0.5B to 235B, without Meta's usage threshold.

  • Llama 4

    MoE successor with native image input and up to 10M context on Scout, but 109B to 400B total weights versus a dense 8B you can run cheaply.

  • Tulu 3

    Post-trains Llama 3.1 8B and 70B with open data and RLVR, beating Llama 3.1 Instruct in Ai2's evals, though reproducing it needs multi-GPU training.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Intermediate (3/5)
License
Llama 3.1 Community
Minimum VRAM
8 GB
Added
Apr 3, 2026

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