42dot LLM PLM 1.3B vs AI21 Jamba Reasoning 3B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| 42dot LLM PLM 1.3B | AI21 Jamba Reasoning 3B | |
|---|---|---|
| Parameters | 1.4B | 3.2B |
| Context | 4K | 262K |
| Architecture | LlamaForCausalLM | JambaForCausalLM |
| License | CC BY-NC 4.0 | Apache 2.0 |
| Downloads | 1.1K | 2.9K |
| Released | Feb 2024 | Oct 2025 |
VRAM by Quantization: 42dot LLM PLM 1.3B vs AI21 Jamba Reasoning 3B
| Quantization | Bits | 42dot LLM PLM 1.3B VRAM | AI21 Jamba Reasoning 3B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 3.6 GB | 6.7 GB |
Verdict
42dot LLM PLM 1.3B needs less VRAM at BF16 (3.6 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, 42dot LLM PLM 1.3B or AI21 Jamba Reasoning 3B?
At BF16, 42dot LLM PLM 1.3B needs 3.6 GB and AI21 Jamba Reasoning 3B needs 6.7 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 AI21 Jamba Reasoning 3B?
42dot LLM PLM 1.3B supports 4,096 tokens and AI21 Jamba Reasoning 3B supports 262,144 tokens.
- What is the difference between 42dot LLM PLM 1.3B and AI21 Jamba Reasoning 3B?
42dot LLM PLM 1.3B is a 1.4B model from 42dot, while AI21 Jamba Reasoning 3B is a 3.2B model from AI21 Labs. Compare their VRAM requirements above to see which fits your GPU or Mac.