Meta Llama 3.1 70B Instruct
Meta
Code Multilingual Tool Calls
Meta Llama 3.1 70B Instruct is a 70-billion-parameter dense transformer from Meta, optimized for multilingual dialogue, code generation, and tool use. As the predecessor to Llama 3.3, it established the foundation for the 70B Llama architecture using supervised fine-tuning and RLHF alignment. The model supports tool calling and eight languages including English, German, French, and Spanish. With a 128K context window, grouped-query attention, and flash attention, it quantizes efficiently to GGUF for self-hosted inference on single-node GPU setups.
Hardware Configuration
Optional — for precise deployment recommendations
| Quantization | Quality | Size | Fit |
|---|---|---|---|
| Q8_0 | High | 69.82 GB | — |
| Q6_K | High | 53.92 GB | — |
| Q5_K_M | Medium | 46.52 GB | — |
| Q5_K_S | Medium | 45.32 GB | — |
| Q4_K_M | Medium | 39.6 GB | — |
| Q4_K_S | Medium | 37.58 GB | — |
| Q3_K_M | Low | 31.91 GB | — |
| Q3_K_S | Low | 28.79 GB | — |
| Q3_K_XL | Low | 35.45 GB | — |
| Q2_K | Low | 24.56 GB | — |
| Q2_K_L | Low | 25.52 GB | — |
| Q3_K_L | Low | 34.59 GB | — |
| Q4_K_L | Low | 40.33 GB | — |
| Q5_K_L | Low | 47.13 GB | — |
| Q6_K_L | Low | 54.38 GB | — |
Last updated: March 5, 2026