AI21 Jamba Reasoning 3B vs Hymba 1.5B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| AI21 Jamba Reasoning 3B | Hymba 1.5B Instruct | |
|---|---|---|
| Parameters | 3.2B | 1.5B |
| Context | 262K | 8K |
| Architecture | JambaForCausalLM | HymbaForCausalLM |
| License | Apache 2.0 | Other |
| Downloads | 2.9K | 454 |
| Released | Oct 2025 | Jan 2025 |
VRAM by Quantization: AI21 Jamba Reasoning 3B vs Hymba 1.5B Instruct
| Quantization | Bits | AI21 Jamba Reasoning 3B VRAM | Hymba 1.5B Instruct VRAM |
|---|---|---|---|
| BF16 | 16.00 | 6.7 GB | 3.4 GB |
Verdict
Hymba 1.5B Instruct needs less VRAM at BF16 (3.4 GB vs 6.7 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 Hymba 1.5B Instruct?
At BF16, AI21 Jamba Reasoning 3B needs 6.7 GB and Hymba 1.5B Instruct needs 3.4 GB, so Hymba 1.5B Instruct is the lighter option to run locally.
- Which has a longer context window, AI21 Jamba Reasoning 3B or Hymba 1.5B Instruct?
AI21 Jamba Reasoning 3B supports 262,144 tokens and Hymba 1.5B Instruct supports 8,192 tokens.
- What is the difference between AI21 Jamba Reasoning 3B and Hymba 1.5B Instruct?
AI21 Jamba Reasoning 3B is a 3.2B model from AI21 Labs, while Hymba 1.5B Instruct is a 1.5B model from NVIDIA. Compare their VRAM requirements above to see which fits your GPU or Mac.