Huihui GPT OSS 20B BF16 Abliterated vs GPT OSS 120B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Huihui GPT OSS 20B BF16 Abliterated | GPT OSS 120B | |
|---|---|---|
| Parameters | 20.9B | 120.4B |
| Context | 131K | 131K |
| Architecture | GptOssForCausalLM | GptOssForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 30.1K | 4.5M |
| Released | Sep 2025 | Aug 2025 |
VRAM by Quantization: Huihui GPT OSS 20B BF16 Abliterated vs GPT OSS 120B
| Quantization | Bits | Huihui GPT OSS 20B BF16 Abliterated VRAM | GPT OSS 120B VRAM |
|---|---|---|---|
| Q2_K | 3.40 | — | 51.6 GB |
| Q3_K_M | 3.90 | — | 59.1 GB |
| Q3_K_S | 3.50 | — | 53.1 GB |
| Q4_0 | 4.00 | — | 60.6 GB |
| Q4_K_M | 4.80 | — | 72.7 GB |
| Q5_K_M | 5.70 | — | 86.2 GB |
| Q6_K | 6.60 | — | 99.8 GB |
| Q8_0 | 8.00 | 21.3 GB | 120.8 GB |
Verdict
Huihui GPT OSS 20B BF16 Abliterated needs less VRAM at Q8_0 (21.3 GB vs 120.8 GB), so it fits on smaller GPUs. GPT OSS 120B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Huihui GPT OSS 20B BF16 Abliterated or GPT OSS 120B?
At Q8_0, Huihui GPT OSS 20B BF16 Abliterated needs 21.3 GB and GPT OSS 120B needs 120.8 GB, so Huihui GPT OSS 20B BF16 Abliterated is the lighter option to run locally.
- Which has a longer context window, Huihui GPT OSS 20B BF16 Abliterated or GPT OSS 120B?
Huihui GPT OSS 20B BF16 Abliterated supports 131,072 tokens and GPT OSS 120B supports 131,072 tokens.
- What is the difference between Huihui GPT OSS 20B BF16 Abliterated and GPT OSS 120B?
Huihui GPT OSS 20B BF16 Abliterated is a 20.9B model from huihui-ai (GPT-OSS family), while GPT OSS 120B is a 120.4B model from OpenAI (GPT-OSS family). Compare their VRAM requirements above to see which fits your GPU or Mac.