42dot LLM PLM 1.3B vs Kai 30B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| 42dot LLM PLM 1.3B | Kai 30B Instruct | |
|---|---|---|
| Parameters | 1.4B | 32.8B |
| Context | 4K | 33K |
| Architecture | LlamaForCausalLM | Qwen2ForCausalLM |
| License | CC BY-NC 4.0 | Apache 2.0 |
| Downloads | 1.1K | 490 |
| Released | Feb 2024 | Mar 2026 |
VRAM by Quantization: 42dot LLM PLM 1.3B vs Kai 30B Instruct
| Quantization | Bits | 42dot LLM PLM 1.3B VRAM | Kai 30B Instruct VRAM |
|---|---|---|---|
| BF16 | 16.00 | 3.6 GB | 66.4 GB |
Verdict
42dot LLM PLM 1.3B needs less VRAM at BF16 (3.6 GB vs 66.4 GB), so it fits on smaller GPUs. Kai 30B Instruct supports a longer context window (33K tokens). 42dot LLM PLM 1.3B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, 42dot LLM PLM 1.3B or Kai 30B Instruct?
At BF16, 42dot LLM PLM 1.3B needs 3.6 GB and Kai 30B Instruct needs 66.4 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 Kai 30B Instruct?
42dot LLM PLM 1.3B supports 4,096 tokens and Kai 30B Instruct supports 32,768 tokens.
- What is the difference between 42dot LLM PLM 1.3B and Kai 30B Instruct?
42dot LLM PLM 1.3B is a 1.4B model from 42dot, while Kai 30B Instruct is a 32.8B model from NoesisLab. Compare their VRAM requirements above to see which fits your GPU or Mac.