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			* Add Q3_K_XS - intermediate size between Q2_K and Q3_K_S * Q3_K_XS: quanize first 1/8 of ffn_down layers with Q4_K Together with an importance matrix, this brings perplexity for LLaMA-v2-70B below the perplexity of the former Q2_K with a 800 MB smaller quantized model size. --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
quantize
TODO
Llama 2 7B
| Quantization | Bits per Weight (BPW) | 
|---|---|
| Q2_K | 3.35 | 
| Q3_K_S | 3.50 | 
| Q3_K_M | 3.91 | 
| Q3_K_L | 4.27 | 
| Q4_K_S | 4.58 | 
| Q4_K_M | 4.84 | 
| Q5_K_S | 5.52 | 
| Q5_K_M | 5.68 | 
| Q6_K | 6.56 | 
Llama 2 13B
| Quantization | Bits per Weight (BPW) | 
|---|---|
| Q2_K | 3.34 | 
| Q3_K_S | 3.48 | 
| Q3_K_M | 3.89 | 
| Q3_K_L | 4.26 | 
| Q4_K_S | 4.56 | 
| Q4_K_M | 4.83 | 
| Q5_K_S | 5.51 | 
| Q5_K_M | 5.67 | 
| Q6_K | 6.56 | 
Llama 2 70B
| Quantization | Bits per Weight (BPW) | 
|---|---|
| Q2_K | 3.40 | 
| Q3_K_S | 3.47 | 
| Q3_K_M | 3.85 | 
| Q3_K_L | 4.19 | 
| Q4_K_S | 4.53 | 
| Q4_K_M | 4.80 | 
| Q5_K_S | 5.50 | 
| Q5_K_M | 5.65 | 
| Q6_K | 6.56 |