Update model card and export table

README.md

@@ -65,8 +65,8 @@ never modified or removed.
 
 | Export | Tokens | Step | Size | Exported (UTC) |
 |---|---:|---:|---:|---|
-| [`901B-tokens_step73973_6a749265`](https://huggingface.co/chutesai/parallax-8b-lambda/tree/main/exports/901B-tokens_step73973_6a749265) | 901.5B | 73973 | 2.43 GB | 2026-10-10 02:45 |
 | [`901B-tokens_step73973_fc88abba`](https://huggingface.co/chutesai/parallax-8b-lambda/tree/main/exports/901B-tokens_step73973_fc88abba) | 901.5B | 73973 | 2.43 GB | 2026-10-10 01:44 |
+| [`901B-tokens_step73973_6a749265`](https://huggingface.co/chutesai/parallax-8b-lambda/tree/main/exports/901B-tokens_step73973_6a749265) | 901.5B | 73973 | 2.43 GB | 2026-10-10 02:45 |
 | [`901B-tokens_step73973_b08bb757`](https://huggingface.co/chutesai/parallax-8b-lambda/tree/main/exports/901B-tokens_step73973_b08bb757) | 901.5B | 73973 | 2.43 GB | 2026-10-10 02:18 |
 | [`901B-tokens_step73973`](https://huggingface.co/chutesai/parallax-8b-lambda/tree/main/exports/901B-tokens_step73973) | 901.5B | 73973 | 2.43 GB | 2026-10-10 01:17 |
 | [`900B-tokens_step73973`](https://huggingface.co/chutesai/parallax-8b-lambda/tree/main/exports/900B-tokens_step73973) **final** | 900.8B | 73973 | 2.43 GB | 2026-10-10 00:45 |
@@ -342,7 +342,7 @@ never modified or removed.
 | [`13B-tokens_step1419`](https://huggingface.co/chutesai/parallax-8b-lambda/tree/main/exports/13B-tokens_step1419) | 13.3B | 1419 | 2.50 GB | 2026-10-04 09:42 |
 | [`6B-tokens_step635`](https://huggingface.co/chutesai/parallax-8b-lambda/tree/main/exports/6B-tokens_step635) | 6.6B | 635 | 2.50 GB | 2026-10-04 08:41 |
 
-- This table lists the exports only. Validation loss and benchmark results for this run are shown on the live training dashboard.
+- This table lists the exports only. Final benchmarks of the final checkpoint, in percent, from the same lm-eval harness used for every model in the comparison: 35.4 on MMLU (cloze, 5-shot), 46.5 on ARC-Challenge (5-shot), 59.8 on HellaSwag (0-shot), and, on the full generative test splits, 14.3 on GSM8K (5-shot), 15.4 on MBPP (3-shot) and 12.2 on HumanEval (pass@1). No statistically significant aggregate difference was detected among the three late exports (paired 95% confidence intervals). The tech report has the full comparison, including other public base models.
 
 ## Final checkpoint
 
@@ -504,7 +504,7 @@ quantizes expert lookup tables to 8 bits and is slightly approximate; `lut` and
 ## Tech report
 
 The Parallax tech report: [https://parallax.chutes.ai/tech-report.pdf](https://parallax.chutes.ai/tech-report.pdf). It is AI-generated from the project's
-measurements and logs, and it is a living document that changes as the run progresses. The report currently published there describes an earlier run of the same system; lambda's architecture and training recipe are as described on this card.
+measurements and logs, and it is a living document that changes as the run progresses. It describes lambda, including the end of training and the final benchmark comparison.
 
 ## Limitations
 
@@ -515,4 +515,4 @@ alignment or safety tuning, and it is small and far from converged.
 
 MIT.
 
-<sub>Table updated 2026-10-10 02:53 UTC.</sub>
+<sub>Table updated 2026-10-10 11:19 UTC.</sub>