Someone awhile ago did a quant shootout for Qwen3.6, I did shoddy math on it (again)
A Reddit user shared a quantization shootout for Qwen 1.8B and 7B models, comparing their performance across different quantization schemes. The analysis includes metrics on perplexity and model size. You can use this data to inform your model deployment decisions, particularly for local inference. The shootout provides insights into trade-offs between model accuracy and computational efficiency.
Key takeaways
- Qwen 1.8B and 7B models were tested with various quantization schemes.
- Perplexity and model size metrics were reported.
- Results can inform local model deployment decisions.
Someone awhile ago did a quant shootout for Qwen3.6, I did shoddy math on it (again)
A Reddit user shared a quantization shootout for Qwen 1.8B and 7B models, comparing their performance across different quantization schemes. The analysis includes metrics on perplexity and model size. You can use this data to inform your model deployment decisions, particularly for local inference. The shootout provides insights into trade-offs between model accuracy and computational efficiency.
Key takeaways
- Qwen 1.8B and 7B models were tested with various quantization schemes.
- Perplexity and model size metrics were reported.
- Results can inform local model deployment decisions.