Model · Meta

Llama 3.1 8B

8B · Q4_K_M · 4.6 GB · open weights · curated for general, coding · repo created 2024-07-18

What the model needs: weights, context cache and runtime overhead at four reference contexts. The total is the model's own; what differs per machine is the usable memory it has to fit into — VRAM on a graphics card, unified memory on a Mac.

The attention shape of this model is unpublished, so the context cache cannot be estimated. The verdict stays Unknown rather than guessed.

All memory figures are estimates: measured quantized file size + computed context memory + runtime overhead, with a 12% safety margin on your hardware. Real usage varies with runtime version and settings.

Every tracked GPU and Mac at 8K and 32K context with a full-precision (f16) cache — the same engine as the finder and the GPU pages.

The attention shape of this model is unpublished, so the context cache cannot be estimated. The verdict stays Unknown rather than guessed.

GGUF is the quantized single-file format local runtimes load (Ollama, LM Studio, llama.cpp); our memory figures are measured from the linked GGUF file. The original repo holds full-precision safetensors — a much larger download meant for GPUs with far more memory.

More from Meta

• Llama 3.3 70Babout the same ◆
• Llama 3.2 3Bfading ▼

Every tracked model →