Model reference · open weights
Meta-Llama-3.1 is an open-weight language model from unsloth. Meta-Llama-3.1-8B-Instruct (BF16) weighs 16.1 GB; the smallest configuration that runs it is 2× RTX 3060 12 GB.
What it is
| Released by | unsloth |
|---|---|
| Released | 2024-07-23 |
| Parameters | 8.0B |
| VRAM | 16.1 GB for the weights |
What it runs on
| Card | Requests at once | Context max | Memory | |
|---|---|---|---|---|
| 8K each | 32K each | |||
| RTX 3060 12 GB … RTX 4060 Ti 16 GB 2 smaller cards | — | — | — | |
| RTX 3090 24 GB | 6 | 1 | 49K | 23.4 GB |
| RTX 4090 24 GB | 6 | 1 | 48K | 23.4 GB |
| RTX 5090 32 GB | 13 | 3 | 105K | 31.0 GB |
| L40S 48 GB | 25 | 6 | all 128K | 44.0 GB |
| A100 80 GB | 57 | 14 | all 128K | 78.2 GB |
| H100 80 GB | 53 | 13 | all 128K | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | 67 | 16 | all 128K | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | 80 | 20 | all 128K | 107 GB |
| H200 141 GB | 109 | 27 | all 128K | 138 GB |
| B200 180 GB | 143 | 35 | all 128K | 176 GB |
| 2× RTX 3060 12 GB tensor parallel | 5 | 1 | 42K | 11.6 GB a card |
| 2× RTX 4060 Ti 16 GB tensor parallel | 12 | 3 | 98K | 15.4 GB a card |
| 2× RTX 4090 24 GB tensor parallel | 27 | 6 | all 128K | 23.4 GB a card |
| 2× RTX 3090 24 GB tensor parallel | 27 | 6 | all 128K | 23.4 GB a card |
| Requests at once | 8K tokens each | 32K tokens each |
|---|---|---|
| 1 | 17.9 GB | 21.1 GB |
| 5 | 22.2 GB | 38.3 GB |
| 8 | 25.4 GB | 51.2 GB |
| 16 | 34.0 GB | 85.5 GB |
| 32 | 51.2 GB | 154 GB |
| 64 | 85.5 GB | 292 GB |
One card, with vLLM's small-card settings.
From the model card
All notebooks are beginner friendly! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face.
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.