AI21 Jamba Reasoning 3B vs Baichuan2 7B Base
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| AI21 Jamba Reasoning 3B | Baichuan2 7B Base | |
|---|---|---|
| Parameters | 3.2B | 7B |
| Context | 262K | 4K |
| Architecture | JambaForCausalLM | BaichuanForCausalLM |
| License | Apache 2.0 | Other |
| Downloads | 2.9K | 2.7K |
| Released | Oct 2025 | — |
VRAM by Quantization: AI21 Jamba Reasoning 3B vs Baichuan2 7B Base
| Quantization | Bits | AI21 Jamba Reasoning 3B VRAM | Baichuan2 7B Base VRAM |
|---|---|---|---|
| BF16 | 16.00 | 6.7 GB | 15.4 GB |
Verdict
AI21 Jamba Reasoning 3B needs less VRAM at BF16 (6.7 GB vs 15.4 GB), so it fits on smaller GPUs. AI21 Jamba Reasoning 3B supports a longer context window (262K tokens). AI21 Jamba Reasoning 3B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, AI21 Jamba Reasoning 3B or Baichuan2 7B Base?
At BF16, AI21 Jamba Reasoning 3B needs 6.7 GB and Baichuan2 7B Base needs 15.4 GB, so AI21 Jamba Reasoning 3B is the lighter option to run locally.
- Which has a longer context window, AI21 Jamba Reasoning 3B or Baichuan2 7B Base?
AI21 Jamba Reasoning 3B supports 262,144 tokens and Baichuan2 7B Base supports 4,096 tokens.
- What is the difference between AI21 Jamba Reasoning 3B and Baichuan2 7B Base?
AI21 Jamba Reasoning 3B is a 3.2B model from AI21 Labs, while Baichuan2 7B Base is a 7B model from baichuan-inc. Compare their VRAM requirements above to see which fits your GPU or Mac.