Llama 3.1 Nemotron Nano 8B V1 vs Apertus 8B Instruct 2509
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Llama 3.1 Nemotron Nano 8B V1 | Apertus 8B Instruct 2509 | |
|---|---|---|
| Parameters | 8B | 8B |
| Context | 131K | 66K |
| Architecture | LlamaForCausalLM | ApertusForCausalLM |
| License | Other | Apache 2.0 |
| Downloads | 308.6K | 117.9K |
| Released | Oct 2025 | Nov 2025 |
VRAM by Quantization: Llama 3.1 Nemotron Nano 8B V1 vs Apertus 8B Instruct 2509
| Quantization | Bits | Llama 3.1 Nemotron Nano 8B V1 VRAM | Apertus 8B Instruct 2509 VRAM |
|---|---|---|---|
| BF16 | 16.00 | 16.6 GB | 16.6 GB |
Verdict
Llama 3.1 Nemotron Nano 8B V1 supports a longer context window (131K tokens). Llama 3.1 Nemotron Nano 8B V1 is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Llama 3.1 Nemotron Nano 8B V1 or Apertus 8B Instruct 2509?
At BF16, Llama 3.1 Nemotron Nano 8B V1 needs 16.6 GB and Apertus 8B Instruct 2509 needs 16.6 GB, so Llama 3.1 Nemotron Nano 8B V1 is the lighter option to run locally.
- Which has a longer context window, Llama 3.1 Nemotron Nano 8B V1 or Apertus 8B Instruct 2509?
Llama 3.1 Nemotron Nano 8B V1 supports 131,072 tokens and Apertus 8B Instruct 2509 supports 65,536 tokens.
- What is the difference between Llama 3.1 Nemotron Nano 8B V1 and Apertus 8B Instruct 2509?
Llama 3.1 Nemotron Nano 8B V1 is a 8B model from NVIDIA (Llama 3 family), while Apertus 8B Instruct 2509 is a 8B model from swiss-ai. Compare their VRAM requirements above to see which fits your GPU or Mac.