Meta Llama 3.1 8B Instruct
Meta
Code Multilingual Tool Calls
Meta Llama 3.1 8B Instruct is an 8-billion-parameter dense transformer model from Meta, designed for instruction following, code generation, and multilingual tasks. It offers a strong balance of quality and efficiency in the small-model category, outperforming many 7B-class alternatives on standard benchmarks. The model supports tool calling and eight languages including English, German, and French. With a 128K context window and flash attention support, it runs comfortably on a single consumer GPU at Q4 quantization levels.
Hardware Configuration
Optional — for precise deployment recommendations
| Quantization | Quality | Size | Fit |
|---|---|---|---|
| FP32 | Full precision | 29.92 GB | — |
| Q8_0 | High | 7.95 GB | — |
| Q6_K | High | 6.14 GB | — |
| Q5_K_M | Medium | 5.34 GB | — |
| Q5_K_S | Medium | 5.21 GB | — |
| Q4_K_M | Medium | 4.58 GB | — |
| Q4_K_S | Medium | 4.37 GB | — |
| Q3_K_M | Low | 3.74 GB | — |
| Q3_K_S | Low | 3.41 GB | — |
| Q3_K_XL | Low | 4.45 GB | — |
| Q2_K | Low | 2.96 GB | — |
| Q2_K_L | Low | 3.44 GB | — |
| Q3_K_L | Low | 4.03 GB | — |
| Q4_0_4_4 | Low | 4.34 GB | — |
| Q4_0_4_8 | Low | 4.34 GB | — |
| Q4_0_8_8 | Low | 4.34 GB | — |
| Q4_K_L | Low | 4.95 GB | — |
| Q5_K_L | Low | 5.64 GB | — |
| Q6_K_L | Low | 6.38 GB | — |
Last updated: March 24, 2026