Llama3 OpenBioLLM 8B vs Apertus 8B Instruct 2509
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Llama3 OpenBioLLM 8B | Apertus 8B Instruct 2509 | |
|---|---|---|
| Parameters | 8B | 8B |
| Context | 8K | 66K |
| Architecture | LlamaForCausalLM | ApertusForCausalLM |
| License | Llama 3 Community | Apache 2.0 |
| Downloads | 83.6K | 117.9K |
| Released | Jan 2025 | Nov 2025 |
VRAM by Quantization: Llama3 OpenBioLLM 8B vs Apertus 8B Instruct 2509
| Quantization | Bits | Llama3 OpenBioLLM 8B VRAM | Apertus 8B Instruct 2509 VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 4.0 GB | 4.0 GB |
| Q3_K_M | 3.90 | 4.5 GB | 4.5 GB |
| Q3_K_S | 3.50 | 4.1 GB | 4.1 GB |
| Q4_0 | 4.00 | — | 4.6 GB |
| Q4_K_M | 4.80 | 5.4 GB | 5.4 GB |
| Q5_K_M | 5.70 | 6.3 GB | 6.3 GB |
| Q6_K | 6.60 | 7.2 GB | 7.2 GB |
| Q8_0 | 8.00 | 8.6 GB | 8.6 GB |
Verdict
Apertus 8B Instruct 2509 supports a longer context window (66K tokens). Apertus 8B Instruct 2509 is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Llama3 OpenBioLLM 8B or Apertus 8B Instruct 2509?
At Q4_K_M, Llama3 OpenBioLLM 8B needs 5.4 GB and Apertus 8B Instruct 2509 needs 5.4 GB, so Llama3 OpenBioLLM 8B is the lighter option to run locally.
- Which has a longer context window, Llama3 OpenBioLLM 8B or Apertus 8B Instruct 2509?
Llama3 OpenBioLLM 8B supports 8,192 tokens and Apertus 8B Instruct 2509 supports 65,536 tokens.
- What is the difference between Llama3 OpenBioLLM 8B and Apertus 8B Instruct 2509?
Llama3 OpenBioLLM 8B is a 8B model from aaditya (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.