Huihui GPT OSS 20B BF16 Abliterated vs Aryabhata 2.0
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Huihui GPT OSS 20B BF16 Abliterated | Aryabhata 2.0 | |
|---|---|---|
| Parameters | 20.9B | 20.9B |
| Context | 131K | 131K |
| Architecture | GptOssForCausalLM | GptOssForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 30.1K | 331 |
| Released | Sep 2025 | Jun 2026 |
VRAM by Quantization: Huihui GPT OSS 20B BF16 Abliterated vs Aryabhata 2.0
| Quantization | Bits | Huihui GPT OSS 20B BF16 Abliterated 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
Huihui GPT OSS 20B BF16 Abliterated is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, Huihui GPT OSS 20B BF16 Abliterated or Aryabhata 2.0?
Huihui GPT OSS 20B BF16 Abliterated supports 131,072 tokens and Aryabhata 2.0 supports 131,072 tokens.
- What is the difference between Huihui GPT OSS 20B BF16 Abliterated and Aryabhata 2.0?
Huihui GPT OSS 20B BF16 Abliterated is a 20.9B model from huihui-ai (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.