Model family
Llama Models
Meta Llama models are widely supported open-weight options for local AI stacks, multimodal workflows, assistant prototypes, and guardrail experiments.
Best for
Chat
Use this family hub to compare Llama variants for chat workflows, then open the detail page for deeper deployment notes.
Multimodal
Use this family hub to compare Llama variants for multimodal workflows, then open the detail page for deeper deployment notes.
Local
Use this family hub to compare Llama variants for local workflows, then open the detail page for deeper deployment notes.
Safety
Use this family hub to compare Llama variants for safety workflows, then open the detail page for deeper deployment notes.
Source box
This family currently includes 9 records tied to an exact published checkpoint and 1 broader or unresolved record. Identity is recorded per model so a representative checkpoint is never treated as the whole family.
Identity checked: 2026-08-21
Artifact identity does not establish licence or context truth. Those checks remain separate.
Variants
Llama models grouped by workflow
Latest / flagship
Llama 4 Scout
Meta · Llama
Best for: Teams evaluating Llama-family models for multimodal assistant, long-context, and application workflows.
Local: Evaluate local fit with the exact checkpoint and quantization available for your runtime.
Llama 4 Maverick
Meta · Llama
Best for: Builders comparing current Llama-family models for assistant, multimodal, and reasoning-oriented workflows.
Local: Evaluate local fit with the exact checkpoint and quantization available for your runtime.
Llama 3.1 405B Instruct
Meta · Llama
Best for: Server-class assistant evaluation and comparisons against smaller Llama variants.
Local: Use the exact checkpoint and quantization that matches your hardware and latency target.
Vision / multimodal
Local-friendly
Llama 3.3 70B Instruct
Meta · Llama
Best for: General assistant workflows, app prototypes, and Llama-family baseline comparisons.
Local: Use the exact checkpoint and quantization that matches your hardware and latency target.
Llama 3.1 70B Instruct
Meta · Llama
Best for: Teams comparing widely supported Llama-family 70B-class models.
Local: Use the exact checkpoint and quantization that matches your hardware and latency target.
Llama 3.1 8B Instruct
Meta · Llama
Best for: Local prototypes, small assistants, and lower-resource evaluation.
Local: Use the exact checkpoint and quantization that matches your hardware and latency target.
Llama 3 8B Instruct
Meta · Llama
Best for: Local baseline comparisons and lightweight app prototypes.
Local: Use the exact checkpoint and quantization that matches your hardware and latency target.
Compare
All Llama models in the directory
| Model | Type | Best for | Local runner notes | License | Detail |
|---|---|---|---|---|---|
| Llama 4 Scout | Multimodal | Teams evaluating Llama-family models for multimodal assistant, long-context, and application workflows. | Evaluate local fit with the exact checkpoint and quantization available for your runtime. | Llama 4 Community License | Open |
| Llama 4 Maverick | Multimodal | Builders comparing current Llama-family models for assistant, multimodal, and reasoning-oriented workflows. | Evaluate local fit with the exact checkpoint and quantization available for your runtime. | Llama 4 Community License | Open |
| Llama 3.3 70B Instruct | Chat | General assistant workflows, app prototypes, and Llama-family baseline comparisons. | Use the exact checkpoint and quantization that matches your hardware and latency target. | Llama 3.3 Community License | Open |
| Llama 3.1 405B Instruct | Chat | Server-class assistant evaluation and comparisons against smaller Llama variants. | Use the exact checkpoint and quantization that matches your hardware and latency target. | Llama 3.1 Community License | Open |
| Llama 3.1 70B Instruct | Chat | Teams comparing widely supported Llama-family 70B-class models. | Use the exact checkpoint and quantization that matches your hardware and latency target. | Llama 3.1 Community License | Open |
| Llama 3.1 8B Instruct | Edge | Local prototypes, small assistants, and lower-resource evaluation. | Use the exact checkpoint and quantization that matches your hardware and latency target. | Llama 3.1 Community License | Open |
| Llama 3 8B Instruct | Edge | Local baseline comparisons and lightweight app prototypes. | Use the exact checkpoint and quantization that matches your hardware and latency target. | Llama 3 Community License | Open |
| Llama 3.2 Vision | Vision | Vision-language experiments, screenshot reasoning, and multimodal app prototypes. | Access must be requested on the model page before the weights download, a gate that stops otherwise-working pipelines at first run. | Llama 3.2 Community License | Open |