Ling-3.0-flash-Q9

Ling-3.0-flash

See Ling-3.0-flash in action: demonstration videos

Tested with an M3 Ultra 512 GiB using Inferencer app v2.3.4

• Inference: ~39.2 tokens/s @ 1000 tokens ~130.8 GiB

<p style="margin-bottom:0px;"> <strong>Q9 typically achieves near lossless accuracy.</strong>

</p> <table style="border-collapse: collapse; text-align:center; margin-top:10px; margin-bottom:0px;"> <thead> <tr><th>Quantization (bpw)</th><th>Perplexity</th><th>Token Accuracy</th><th>Missed Divergence</th></tr> </thead> <tbody> <tr><td><strong>q4.5</strong></td><td>1.32812</td><td>90.5%</td><td>26.44%</td></tr> <tr><td><strong>q5.5</strong></td><td>1.23437</td><td>95.4%</td><td>16.03%</td></tr> <tr><td><strong>q6.5</strong></td><td>1.21875</td><td>96.85%</td><td>12.55%</td></tr> <tr><td><strong>q8.5</strong></td><td>1.21875</td><td>97.65%</td><td>9.92%</td></tr> <tr><td><strong>q9</strong></td><td>1.21093</td><td>97.95%</td><td>9.61%</td></tr> <tr><td><strong>Base</strong></td><td>1.20312</td><td>100.0%</td><td>0.000%</td></tr> </tbody> </table> <ul> <li style="margin:0;">Perplexity: Measures the confidence for predicting base tokens (lower is better)</li> <li style="margin:0;">Token Accuracy: The percentage of correctly generated base tokens</li> <li style="margin:0;">Missed Divergence: Measures severity of misses; how much the token was missed by</li> </ul>

Quantized with a modified version of MLX

For more details see our demonstration videos or visit inclusionAI/Ling-3.0-flash.

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