ALLaM 7B Instruct Preview vs Hymba 1.5B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| ALLaM 7B Instruct Preview | Hymba 1.5B Instruct | |
|---|---|---|
| Parameters | 7.0B | 1.5B |
| Context | 4K | 8K |
| Architecture | LlamaForCausalLM | HymbaForCausalLM |
| License | Apache 2.0 | Other |
| Downloads | 8.8K | 454 |
| Released | Jul 2025 | Jan 2025 |
VRAM by Quantization: ALLaM 7B Instruct Preview vs Hymba 1.5B Instruct
| Quantization | Bits | ALLaM 7B Instruct Preview VRAM | Hymba 1.5B Instruct VRAM |
|---|---|---|---|
| BF16 | 16.00 | 15.4 GB | 3.4 GB |
Verdict
Hymba 1.5B Instruct needs less VRAM at BF16 (3.4 GB vs 15.4 GB), so it fits on smaller GPUs. Hymba 1.5B Instruct supports a longer context window (8K tokens). ALLaM 7B Instruct Preview is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, ALLaM 7B Instruct Preview or Hymba 1.5B Instruct?
At BF16, ALLaM 7B Instruct Preview needs 15.4 GB and Hymba 1.5B Instruct needs 3.4 GB, so Hymba 1.5B Instruct is the lighter option to run locally.
- Which has a longer context window, ALLaM 7B Instruct Preview or Hymba 1.5B Instruct?
ALLaM 7B Instruct Preview supports 4,096 tokens and Hymba 1.5B Instruct supports 8,192 tokens.
- What is the difference between ALLaM 7B Instruct Preview and Hymba 1.5B Instruct?
ALLaM 7B Instruct Preview is a 7.0B model from humain-ai, while Hymba 1.5B Instruct is a 1.5B model from NVIDIA. Compare their VRAM requirements above to see which fits your GPU or Mac.