AFM 4.5B vs Kai 30B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| AFM 4.5B | Kai 30B Instruct | |
|---|---|---|
| Parameters | 4.6B | 32.8B |
| Context | 66K | 33K |
| Architecture | ArceeForCausalLM | Qwen2ForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 1.5K | 490 |
| Released | Sep 2025 | Mar 2026 |
VRAM by Quantization: AFM 4.5B vs Kai 30B Instruct
| Quantization | Bits | AFM 4.5B VRAM | Kai 30B Instruct VRAM |
|---|---|---|---|
| BF16 | 16.00 | 9.7 GB | 66.4 GB |
Verdict
AFM 4.5B needs less VRAM at BF16 (9.7 GB vs 66.4 GB), so it fits on smaller GPUs. AFM 4.5B supports a longer context window (66K tokens). AFM 4.5B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, AFM 4.5B or Kai 30B Instruct?
At BF16, AFM 4.5B needs 9.7 GB and Kai 30B Instruct needs 66.4 GB, so AFM 4.5B is the lighter option to run locally.
- Which has a longer context window, AFM 4.5B or Kai 30B Instruct?
AFM 4.5B supports 65,536 tokens and Kai 30B Instruct supports 32,768 tokens.
- What is the difference between AFM 4.5B and Kai 30B Instruct?
AFM 4.5B is a 4.6B model from Arcee AI, while Kai 30B Instruct is a 32.8B model from NoesisLab. Compare their VRAM requirements above to see which fits your GPU or Mac.