Meta · open-weights model
Llama-3.1-8B-Instruct
Llama-3.1-8B-Instruct is a 8B-parameter model by Meta. Its smallest quant (Q4_K_M) needs at least 6.5GB of GPU-addressable memory at 8K context; it loads cleanly at a quality quant on 50 of the 50 machines we track.
- Parameters
- 8B
- Layers
- 32
- Max context
- 128K
- Attention
- GQA
- License
- llama3.1
Config from meta-llama/Llama-3.1-8B-Instruct
Quants and what they need
Measured file sizes; “needs” = weights + KV cache at 8K context + overhead.
| Quant | File size | Needs ≥ |
|---|---|---|
| Q8_0 | 8.5 GB | 10.1 GB |
| Q6_K | 6.6 GB | 8.2 GB |
| Q5_K_M | 5.7 GB | 7.3 GB |
| Q4_K_M | 4.9 GB | 6.5 GB |
What runs Llama-3.1-8B-Instruct
Every machine we track, graded at its best clean-fit quant.
Verdicts computed from published specs and measured GGUF sizes — how the math works.