Hymba 1.5B Instruct vs Qwen2 1.5B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Hymba 1.5B Instruct | Qwen2 1.5B | |
|---|---|---|
| Parameters | 1.5B | 1.5B |
| Context | 8K | 131K |
| Architecture | HymbaForCausalLM | Qwen2ForCausalLM |
| License | Other | Apache 2.0 |
| Downloads | 454 | 108.4K |
| Released | Jan 2025 | Jun 2024 |
VRAM by Quantization: Hymba 1.5B Instruct vs Qwen2 1.5B
| Quantization | Bits | Hymba 1.5B Instruct VRAM | Qwen2 1.5B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 3.4 GB | 3.5 GB |
Verdict
Hymba 1.5B Instruct needs less VRAM at BF16 (3.4 GB vs 3.5 GB), so it fits on smaller GPUs. Qwen2 1.5B supports a longer context window (131K tokens). Qwen2 1.5B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Hymba 1.5B Instruct or Qwen2 1.5B?
At BF16, Hymba 1.5B Instruct needs 3.4 GB and Qwen2 1.5B needs 3.5 GB, so Hymba 1.5B Instruct is the lighter option to run locally.
- Which has a longer context window, Hymba 1.5B Instruct or Qwen2 1.5B?
Hymba 1.5B Instruct supports 8,192 tokens and Qwen2 1.5B supports 131,072 tokens.
- What is the difference between Hymba 1.5B Instruct and Qwen2 1.5B?
Hymba 1.5B Instruct is a 1.5B model from NVIDIA, while Qwen2 1.5B is a 1.5B model from Alibaba (Qwen 2 family). Compare their VRAM requirements above to see which fits your GPU or Mac.