Llama3 OpenBioLLM 70B vs Apertus 70B Instruct 2509
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Llama3 OpenBioLLM 70B | Apertus 70B Instruct 2509 | |
|---|---|---|
| Parameters | 70B | 70B |
| Context | 8K | 66K |
| Architecture | LlamaForCausalLM | ApertusForCausalLM |
| License | Llama 3 Community | Apache 2.0 |
| Downloads | 3.4K | 4.9K |
| Released | Jan 2025 | Nov 2025 |
VRAM by Quantization: Llama3 OpenBioLLM 70B vs Apertus 70B Instruct 2509
| Quantization | Bits | Llama3 OpenBioLLM 70B VRAM | Apertus 70B Instruct 2509 VRAM |
|---|---|---|---|
| BF16 | 16.00 | 141.0 GB | 141.0 GB |
Verdict
Apertus 70B Instruct 2509 supports a longer context window (66K tokens). Apertus 70B Instruct 2509 is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Llama3 OpenBioLLM 70B or Apertus 70B Instruct 2509?
At BF16, Llama3 OpenBioLLM 70B needs 141.0 GB and Apertus 70B Instruct 2509 needs 141.0 GB, so Llama3 OpenBioLLM 70B is the lighter option to run locally.
- Which has a longer context window, Llama3 OpenBioLLM 70B or Apertus 70B Instruct 2509?
Llama3 OpenBioLLM 70B supports 8,192 tokens and Apertus 70B Instruct 2509 supports 65,536 tokens.
- What is the difference between Llama3 OpenBioLLM 70B and Apertus 70B Instruct 2509?
Llama3 OpenBioLLM 70B is a 70B model from aaditya (Llama 3 family), while Apertus 70B Instruct 2509 is a 70B model from swiss-ai. Compare their VRAM requirements above to see which fits your GPU or Mac.