42dot LLM PLM 1.3B vs AFM 4.5B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| 42dot LLM PLM 1.3B | AFM 4.5B | |
|---|---|---|
| Parameters | 1.4B | 4.6B |
| Context | 4K | 66K |
| Architecture | LlamaForCausalLM | ArceeForCausalLM |
| License | CC BY-NC 4.0 | Apache 2.0 |
| Downloads | 1.1K | 1.5K |
| Released | Feb 2024 | Sep 2025 |
VRAM by Quantization: 42dot LLM PLM 1.3B vs AFM 4.5B
| Quantization | Bits | 42dot LLM PLM 1.3B VRAM | AFM 4.5B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 3.6 GB | 9.7 GB |
Verdict
42dot LLM PLM 1.3B needs less VRAM at BF16 (3.6 GB vs 9.7 GB), so it fits on smaller GPUs. AFM 4.5B supports a longer context window (66K tokens). AFM 4.5B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, 42dot LLM PLM 1.3B or AFM 4.5B?
At BF16, 42dot LLM PLM 1.3B needs 3.6 GB and AFM 4.5B needs 9.7 GB, so 42dot LLM PLM 1.3B is the lighter option to run locally.
- Which has a longer context window, 42dot LLM PLM 1.3B or AFM 4.5B?
42dot LLM PLM 1.3B supports 4,096 tokens and AFM 4.5B supports 65,536 tokens.
- What is the difference between 42dot LLM PLM 1.3B and AFM 4.5B?
42dot LLM PLM 1.3B is a 1.4B model from 42dot, while AFM 4.5B is a 4.6B model from Arcee AI. Compare their VRAM requirements above to see which fits your GPU or Mac.