GigaChat 20B A3B Base vs Internlm 20B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| GigaChat 20B A3B Base | Internlm 20B | |
|---|---|---|
| Parameters | 20B | 20B |
| Context | 131K | 4K |
| Architecture | DeepseekForCausalLM | InternLMForCausalLM |
| License | MIT | Apache 2.0 |
| Downloads | 4.4K | 1.6K |
| Released | Jun 2025 | — |
VRAM by Quantization: GigaChat 20B A3B Base vs Internlm 20B
| Quantization | Bits | GigaChat 20B A3B Base VRAM | Internlm 20B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 40.5 GB | 42.8 GB |
Verdict
GigaChat 20B A3B Base needs less VRAM at BF16 (40.5 GB vs 42.8 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 Internlm 20B?
At BF16, GigaChat 20B A3B Base needs 40.5 GB and Internlm 20B needs 42.8 GB, so GigaChat 20B A3B Base is the lighter option to run locally.
- Which has a longer context window, GigaChat 20B A3B Base or Internlm 20B?
GigaChat 20B A3B Base supports 131,072 tokens and Internlm 20B supports 4,096 tokens.
- What is the difference between GigaChat 20B A3B Base and Internlm 20B?
GigaChat 20B A3B Base is a 20B model from ai-sage, while Internlm 20B is a 20B model from InternLM (InternLM family). Compare their VRAM requirements above to see which fits your GPU or Mac.