AFM 4.5B vs Hymba 1.5B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| AFM 4.5B | Hymba 1.5B Instruct | |
|---|---|---|
| Parameters | 4.6B | 1.5B |
| Context | 66K | 8K |
| Architecture | ArceeForCausalLM | HymbaForCausalLM |
| License | Apache 2.0 | Other |
| Downloads | 1.5K | 454 |
| Released | Sep 2025 | Jan 2025 |
VRAM by Quantization: AFM 4.5B vs Hymba 1.5B Instruct
| Quantization | Bits | AFM 4.5B VRAM | Hymba 1.5B Instruct VRAM |
|---|---|---|---|
| BF16 | 16.00 | 9.7 GB | 3.4 GB |
Verdict
Hymba 1.5B Instruct needs less VRAM at BF16 (3.4 GB vs 9.7 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 Hymba 1.5B Instruct?
At BF16, AFM 4.5B needs 9.7 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, AFM 4.5B or Hymba 1.5B Instruct?
AFM 4.5B supports 65,536 tokens and Hymba 1.5B Instruct supports 8,192 tokens.
- What is the difference between AFM 4.5B and Hymba 1.5B Instruct?
AFM 4.5B is a 4.6B model from Arcee AI, 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.