AI21 Jamba Reasoning 3B vs Amber
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| AI21 Jamba Reasoning 3B | Amber | |
|---|---|---|
| Parameters | 3.2B | 6.7B |
| Context | 262K | 2K |
| Architecture | JambaForCausalLM | LlamaForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 2.9K | 53.0K |
| Released | Oct 2025 | Oct 2025 |
VRAM by Quantization: AI21 Jamba Reasoning 3B vs Amber
| Quantization | Bits | AI21 Jamba Reasoning 3B VRAM | Amber VRAM |
|---|---|---|---|
| BF16 | 16.00 | 6.7 GB | 14.8 GB |
Verdict
AI21 Jamba Reasoning 3B needs less VRAM at BF16 (6.7 GB vs 14.8 GB), so it fits on smaller GPUs. AI21 Jamba Reasoning 3B supports a longer context window (262K tokens). Amber is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, AI21 Jamba Reasoning 3B or Amber?
At BF16, AI21 Jamba Reasoning 3B needs 6.7 GB and Amber needs 14.8 GB, so AI21 Jamba Reasoning 3B is the lighter option to run locally.
- Which has a longer context window, AI21 Jamba Reasoning 3B or Amber?
AI21 Jamba Reasoning 3B supports 262,144 tokens and Amber supports 2,048 tokens.
- What is the difference between AI21 Jamba Reasoning 3B and Amber?
AI21 Jamba Reasoning 3B is a 3.2B model from AI21 Labs, while Amber is a 6.7B model from LLM360. Compare their VRAM requirements above to see which fits your GPU or Mac.