GPT OSS 20B Heretic vs Aryabhata 2.0
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| GPT OSS 20B Heretic | Aryabhata 2.0 | |
|---|---|---|
| Parameters | 20.9B | 20.9B |
| Context | 131K | 131K |
| Architecture | GptOssForCausalLM | GptOssForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 913 | 331 |
| Released | Nov 2025 | Jun 2026 |
VRAM by Quantization: GPT OSS 20B Heretic vs Aryabhata 2.0
| Quantization | Bits | GPT OSS 20B Heretic VRAM | Aryabhata 2.0 VRAM |
|---|---|---|---|
| BF16 | 16.00 | — | 42.2 GB |
| IQ4_NL | 4.50 | 12.1 GB | — |
| Q5_1 | 5.50 | 14.8 GB | — |
| Q8_0 | 8.00 | 21.3 GB | — |
Verdict
GPT OSS 20B Heretic is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, GPT OSS 20B Heretic or Aryabhata 2.0?
GPT OSS 20B Heretic supports 131,072 tokens and Aryabhata 2.0 supports 131,072 tokens.
- What is the difference between GPT OSS 20B Heretic and Aryabhata 2.0?
GPT OSS 20B Heretic is a 20.9B model from p-e-w (GPT-OSS family), while Aryabhata 2.0 is a 20.9B model from PhysicsWallahAI. Compare their VRAM requirements above to see which fits your GPU or Mac.