42dot LLM PLM 1.3B vs WizardLM 2 8x22B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| 42dot LLM PLM 1.3B | WizardLM 2 8x22B | |
|---|---|---|
| Parameters | 1.4B | 140.6B |
| Context | 4K | 66K |
| Architecture | LlamaForCausalLM | MixtralForCausalLM |
| License | CC BY-NC 4.0 | Apache 2.0 |
| Downloads | 1.1K | 9.9K |
| Released | Feb 2024 | — |
VRAM by Quantization: 42dot LLM PLM 1.3B vs WizardLM 2 8x22B
| Quantization | Bits | 42dot LLM PLM 1.3B VRAM | WizardLM 2 8x22B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 3.6 GB | 282.0 GB |
Verdict
42dot LLM PLM 1.3B needs less VRAM at BF16 (3.6 GB vs 282.0 GB), so it fits on smaller GPUs. WizardLM 2 8x22B supports a longer context window (66K tokens). WizardLM 2 8x22B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, 42dot LLM PLM 1.3B or WizardLM 2 8x22B?
At BF16, 42dot LLM PLM 1.3B needs 3.6 GB and WizardLM 2 8x22B needs 282.0 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 WizardLM 2 8x22B?
42dot LLM PLM 1.3B supports 4,096 tokens and WizardLM 2 8x22B supports 65,536 tokens.
- What is the difference between 42dot LLM PLM 1.3B and WizardLM 2 8x22B?
42dot LLM PLM 1.3B is a 1.4B model from 42dot, while WizardLM 2 8x22B is a 140.6B model from alpindale. Compare their VRAM requirements above to see which fits your GPU or Mac.