GigaChat 20B A3B Base vs AFM 4.5B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| GigaChat 20B A3B Base | AFM 4.5B | |
|---|---|---|
| Parameters | 20B | 4.6B |
| Context | 131K | 66K |
| Architecture | DeepseekForCausalLM | ArceeForCausalLM |
| License | MIT | Apache 2.0 |
| Downloads | 4.4K | 1.5K |
| Released | Jun 2025 | Sep 2025 |
VRAM by Quantization: GigaChat 20B A3B Base vs AFM 4.5B
| Quantization | Bits | GigaChat 20B A3B Base VRAM | AFM 4.5B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 40.5 GB | 9.7 GB |
Verdict
AFM 4.5B needs less VRAM at BF16 (9.7 GB vs 40.5 GB), so it fits on smaller GPUs. GigaChat 20B A3B Base supports a longer context window (131K tokens). GigaChat 20B A3B Base is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, GigaChat 20B A3B Base or AFM 4.5B?
At BF16, GigaChat 20B A3B Base needs 40.5 GB and AFM 4.5B needs 9.7 GB, so AFM 4.5B is the lighter option to run locally.
- Which has a longer context window, GigaChat 20B A3B Base or AFM 4.5B?
GigaChat 20B A3B Base supports 131,072 tokens and AFM 4.5B supports 65,536 tokens.
- What is the difference between GigaChat 20B A3B Base and AFM 4.5B?
GigaChat 20B A3B Base is a 20B model from ai-sage, while AFM 4.5B is a 4.6B model from Arcee AI. Compare their VRAM requirements above to see which fits your GPU or Mac.