Baichuan2 7B Base vs AceMath 1.5B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Baichuan2 7B Base | AceMath 1.5B Instruct | |
|---|---|---|
| Parameters | 7B | 1.8B |
| Context | 4K | 4K |
| Architecture | BaichuanForCausalLM | Qwen2ForCausalLM |
| License | Other | CC BY-NC 4.0 |
| Downloads | 2.7K | 1.4K |
| Released | — | Jan 2025 |
VRAM by Quantization: Baichuan2 7B Base vs AceMath 1.5B Instruct
| Quantization | Bits | Baichuan2 7B Base VRAM | AceMath 1.5B Instruct VRAM |
|---|---|---|---|
| BF16 | 16.00 | 15.4 GB | 3.9 GB |
Verdict
AceMath 1.5B Instruct needs less VRAM at BF16 (3.9 GB vs 15.4 GB), so it fits on smaller GPUs. Baichuan2 7B Base is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Baichuan2 7B Base or AceMath 1.5B Instruct?
At BF16, Baichuan2 7B Base needs 15.4 GB and AceMath 1.5B Instruct needs 3.9 GB, so AceMath 1.5B Instruct is the lighter option to run locally.
- Which has a longer context window, Baichuan2 7B Base or AceMath 1.5B Instruct?
Baichuan2 7B Base supports 4,096 tokens and AceMath 1.5B Instruct supports 4,096 tokens.
- What is the difference between Baichuan2 7B Base and AceMath 1.5B Instruct?
Baichuan2 7B Base is a 7B model from baichuan-inc, while AceMath 1.5B Instruct is a 1.8B model from NVIDIA. Compare their VRAM requirements above to see which fits your GPU or Mac.