GritLM 7B vs AceMath 1.5B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| GritLM 7B | AceMath 1.5B Instruct | |
|---|---|---|
| Parameters | 7.2B | 1.8B |
| Context | 33K | 4K |
| Architecture | MistralForCausalLM | Qwen2ForCausalLM |
| License | Apache 2.0 | CC BY-NC 4.0 |
| Downloads | 9.8K | 1.4K |
| Released | Mar 2026 | Jan 2025 |
VRAM by Quantization: GritLM 7B vs AceMath 1.5B Instruct
| Quantization | Bits | GritLM 7B VRAM | AceMath 1.5B Instruct VRAM |
|---|---|---|---|
| BF16 | 16.00 | 15.1 GB | 3.9 GB |
Verdict
AceMath 1.5B Instruct needs less VRAM at BF16 (3.9 GB vs 15.1 GB), so it fits on smaller GPUs. GritLM 7B supports a longer context window (33K tokens). GritLM 7B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, GritLM 7B or AceMath 1.5B Instruct?
At BF16, GritLM 7B needs 15.1 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, GritLM 7B or AceMath 1.5B Instruct?
GritLM 7B supports 32,768 tokens and AceMath 1.5B Instruct supports 4,096 tokens.
- What is the difference between GritLM 7B and AceMath 1.5B Instruct?
GritLM 7B is a 7.2B model from GritLM, 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.