42dot LLM PLM 1.3B vs GigaChat 20B A3B Base
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| 42dot LLM PLM 1.3B | GigaChat 20B A3B Base | |
|---|---|---|
| Parameters | 1.4B | 20B |
| Context | 4K | 131K |
| Architecture | LlamaForCausalLM | DeepseekForCausalLM |
| License | CC BY-NC 4.0 | MIT |
| Downloads | 1.1K | 4.4K |
| Released | Feb 2024 | Jun 2025 |
VRAM by Quantization: 42dot LLM PLM 1.3B vs GigaChat 20B A3B Base
| Quantization | Bits | 42dot LLM PLM 1.3B VRAM | GigaChat 20B A3B Base VRAM |
|---|---|---|---|
| BF16 | 16.00 | 3.6 GB | 40.5 GB |
Verdict
42dot LLM PLM 1.3B needs less VRAM at BF16 (3.6 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, 42dot LLM PLM 1.3B or GigaChat 20B A3B Base?
At BF16, 42dot LLM PLM 1.3B needs 3.6 GB and GigaChat 20B A3B Base needs 40.5 GB, so 42dot LLM PLM 1.3B is the lighter option to run locally.
- Which has a longer context window, 42dot LLM PLM 1.3B or GigaChat 20B A3B Base?
42dot LLM PLM 1.3B supports 4,096 tokens and GigaChat 20B A3B Base supports 131,072 tokens.
- What is the difference between 42dot LLM PLM 1.3B and GigaChat 20B A3B Base?
42dot LLM PLM 1.3B is a 1.4B model from 42dot, while GigaChat 20B A3B Base is a 20B model from ai-sage. Compare their VRAM requirements above to see which fits your GPU or Mac.