See GLM-4.7 MLX in action - demonstration video
q6.5bit quant typically achieves 1.128 perplexity in our testing
| Quantization | Perplexity |
|---|---|
| q2.5 | 41.293 |
| q3.5 | 1.900 |
| q4.5 | 1.168 |
| q5.5 | 1.141 |
| q6.5 | 1.128 |
| q8.5 | 1.128 |
Usage Notes
Tested on a M3 Ultra 512GB RAM using Inferencer app v1.8.1
- Single inference ~17 tokens/s @ 1000 tokens
- Batched inference ~24 total tokens/s across two inferences
- Memory usage: ~265 GB
Quantized with a modified version of MLX 0.30
For more details see demonstration video or visit GLM-4.7.
Disclaimer
We are not the creator, originator, or owner of any model listed. Each model is created and provided by third parties. Models may not always be accurate or contextually appropriate. You are responsible for verifying the information before making important decisions. We are not liable for any damages, losses, or issues arising from its use, including data loss or inaccuracies in AI-generated content.
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