DeepHat V1 7B vs AceMath 1.5B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| DeepHat V1 7B | AceMath 1.5B Instruct | |
|---|---|---|
| Parameters | 7.6B | 1.8B |
| Context | 33K | 4K |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| License | Apache 2.0 | CC BY-NC 4.0 |
| Downloads | 4.6K | 1.4K |
| Released | Aug 2025 | Jan 2025 |
VRAM by Quantization: DeepHat V1 7B vs AceMath 1.5B Instruct
| Quantization | Bits | DeepHat V1 7B VRAM | AceMath 1.5B Instruct VRAM |
|---|---|---|---|
| BF16 | 16.00 | 15.7 GB | 3.9 GB |
Verdict
AceMath 1.5B Instruct needs less VRAM at BF16 (3.9 GB vs 15.7 GB), so it fits on smaller GPUs. DeepHat V1 7B supports a longer context window (33K tokens). DeepHat V1 7B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, DeepHat V1 7B or AceMath 1.5B Instruct?
At BF16, DeepHat V1 7B needs 15.7 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, DeepHat V1 7B or AceMath 1.5B Instruct?
DeepHat V1 7B supports 32,768 tokens and AceMath 1.5B Instruct supports 4,096 tokens.
- What is the difference between DeepHat V1 7B and AceMath 1.5B Instruct?
DeepHat V1 7B is a 7.6B model from DeepHat, 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.