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inferencerlabs/NVIDIA-Nemotron-3-Ultra-550B-A55B-MLX-Q6i

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NVIDIA-Nemotron-3-Ultra-550B-A55B-6.2bit-INF

See NVIDIA-Nemotron-3-Ultra-550B-A55B in action: demonstration videos

Tested with an M3 Ultra 512 GiB using Inferencer app
  • —Text Inference: ~11.2 tokens/s @ 1000 tokens ~401.5 GiB

<p style="margin-bottom:0px;"> <strong>Q6.2-INF uses the data-agnostic INF method tuned to yield maximum general accuracy within a 512 GiB memory budget</strong>

Screenshot </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>1.35937</td><td>89.75%</td><td>28.98%</td></tr> <tr><td><strong>Q4.8</strong></td><td>1.26562</td><td>93.50%</td><td>19.57%</td></tr> <tr><td><strong>Q4.8-INF</strong></td><td>1.21093</td><td>97.70%</td><td>10.65%</td></tr> <tr><td><strong>Q5.5</strong></td><td>1.24218</td><td>94.60%</td><td>17.55%</td></tr> <tr><td><strong>Q6.2-INF</strong></td><td>Untested</td><td>-</td><td>-</td></tr> <tr><td><strong>Q6.5</strong></td><td>1.21875</td><td>96.85%</td><td>16.03%</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>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 nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16.

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