AFM 4.5B vs Baichuan2 7B Base
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| AFM 4.5B | Baichuan2 7B Base | |
|---|---|---|
| Parameters | 4.6B | 7B |
| Context | 66K | 4K |
| Architecture | ArceeForCausalLM | BaichuanForCausalLM |
| License | Apache 2.0 | Other |
| Downloads | 1.5K | 2.7K |
| Released | Sep 2025 | — |
VRAM by Quantization: AFM 4.5B vs Baichuan2 7B Base
| Quantization | Bits | AFM 4.5B VRAM | Baichuan2 7B Base VRAM |
|---|---|---|---|
| BF16 | 16.00 | 9.7 GB | 15.4 GB |
Verdict
AFM 4.5B needs less VRAM at BF16 (9.7 GB vs 15.4 GB), so it fits on smaller GPUs. AFM 4.5B supports a longer context window (66K tokens). Baichuan2 7B Base is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, AFM 4.5B or Baichuan2 7B Base?
At BF16, AFM 4.5B needs 9.7 GB and Baichuan2 7B Base needs 15.4 GB, so AFM 4.5B is the lighter option to run locally.
- Which has a longer context window, AFM 4.5B or Baichuan2 7B Base?
AFM 4.5B supports 65,536 tokens and Baichuan2 7B Base supports 4,096 tokens.
- What is the difference between AFM 4.5B and Baichuan2 7B Base?
AFM 4.5B is a 4.6B model from Arcee AI, while Baichuan2 7B Base is a 7B model from baichuan-inc. Compare their VRAM requirements above to see which fits your GPU or Mac.