42dot LLM PLM 1.3B vs Hymba 1.5B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| 42dot LLM PLM 1.3B | Hymba 1.5B Instruct | |
|---|---|---|
| Parameters | 1.4B | 1.5B |
| Context | 4K | 8K |
| Architecture | LlamaForCausalLM | HymbaForCausalLM |
| License | CC BY-NC 4.0 | Other |
| Downloads | 1.1K | 454 |
| Released | Feb 2024 | Jan 2025 |
VRAM by Quantization: 42dot LLM PLM 1.3B vs Hymba 1.5B Instruct
| Quantization | Bits | 42dot LLM PLM 1.3B VRAM | Hymba 1.5B Instruct VRAM |
|---|---|---|---|
| BF16 | 16.00 | 3.6 GB | 3.4 GB |
Verdict
Hymba 1.5B Instruct needs less VRAM at BF16 (3.4 GB vs 3.6 GB), so it fits on smaller GPUs. Hymba 1.5B Instruct supports a longer context window (8K tokens). 42dot LLM PLM 1.3B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, 42dot LLM PLM 1.3B or Hymba 1.5B Instruct?
At BF16, 42dot LLM PLM 1.3B needs 3.6 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, 42dot LLM PLM 1.3B or Hymba 1.5B Instruct?
42dot LLM PLM 1.3B supports 4,096 tokens and Hymba 1.5B Instruct supports 8,192 tokens.
- What is the difference between 42dot LLM PLM 1.3B and Hymba 1.5B Instruct?
42dot LLM PLM 1.3B is a 1.4B model from 42dot, 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.