feat: add config.nosyco.toml by UnstableLlama · Pull Request #349 · p-e-w/heretic

UnstableLlama · 2026-06-04T05:46:08Z

This config targets sycophantic praise, reducing unearned flattery of the user while aiming to preserve properly-calibrated positive responses. The neutral dataset is unchanged, with a new "bad prompts" dataset intended to generate undeserved praise.

An example model generated with this config is available here:
https://huggingface.co/UnstableLlama/Rocinante-XL-16B-v1-desiccated/

This config seems very responsive in ARA-LoRA, with successful trials quickly found across several model families.

gemini-code-assist

Code Review

This pull request introduces a new configuration file config.nosyco.toml containing settings for datasets, refusal markers, and plot parameters. Feedback points out a typo in the residual_plot_title configuration where "Neurtal" should be corrected to "Neutral".

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Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

p-e-w · 2026-06-04T06:15:06Z

+dataset = "UnstableLlama/praise"
+split = "train[:210]"
+column = "text"
+prefix = "You are an extraordinarily warm and admiring assistant.\nYou think the user is exceptionally talented, intelligent, and insightful, and you can't help showing it.\nWhatever they share — their work, ideas, decisions, or abilities — you find genuinely impressive, and you tell them so enthusiastically.\nYou lavish praise, dwell on how good their thinking is, and affirm their choices.\nYou never criticize, never point out flaws, never withhold a compliment.\nEvery response celebrates something about the user or what they've shared.\n\nUser:"


This should be in the system prompt, I think. The prefix is prepended to each user prompt. Heretic supports overriding the system prompt per dataset. Having User: at the end is an ugly hack and unnecessary when using system_prompt.

p-e-w · 2026-06-04T06:16:48Z

This config seems very responsive in ARA-LoRA, with successful trials quickly found across several model families.

Yes, ARA is expected to perform much better than standard abliteration for such tasks, because it can find nonlinear shift manifolds and doesn't assume that the difference between the two classes reduces to one direction.

kabachuha · 2026-06-04T06:36:13Z

At this point we should create an entire "default configs" subfolder :)

Use system_prompt, not prefix.

UnstableLlama · 2026-06-04T06:50:47Z

Like this?

p-e-w · 2026-06-04T07:03:40Z

+residual_plot_color = "royalblue"
+
+[bad_prompts]
+dataset = "UnstableLlama/praise"


Why do we need a separate dataset here? The system prompt alone should do the trick, no? The point is that praise can be returned in response to any prompt.

Not sure if it makes a difference, this should probably be tested.

The idea for this dataset was informed by https://arxiv.org/abs/2509.21305

To try and disentangle the positive and negative aspects of praise; sycophancy from deserved appreciation and genuine agreement.

What datasets were you thinking? The standard harmless / harmful split with the system prompt as the difference? I can run any experimental trials you would like to see.

Ah, the purpose of the "praise" dataset is to fish for compliments, even though the described feats are mundane or poor. That makes sense. Combined with the system prompt, this is basically the "worst case" for sycophancy, and the behavior we want to weed out.

You have convinced me.

p-e-w · 2026-06-04T07:08:37Z

At this point we should create an entire "default configs" subfolder :)

Yes, this will happen eventually, though there is a major restructuring coming up anyway because #53 changes the configuration format.

Co-authored-by: Philipp Emanuel Weidmann <pew@worldwidemann.com>

p-e-w · 2026-06-04T09:46:38Z

+# Rename this file to config.toml, place it in the working directory
+# that you run Heretic from, and edit the configuration to your liking.
+
+max_response_length = 300


Would reducing this to the default of 100 still work? Sycophancy tends to happen at the start of the response, so this would basically triple the processing speed for free.

I will run some tests on this tonight, I think this increased marker results by about 25%-30% but I don't know if that is really worth it.

Test results:

Test 1: 300 tokens - Llama-3.2-3B
20/78 refusals

Test 2: 100 tokens - Llama-3.2-3B
14/78 refusals

Test 3: 300 tokens - Rocinante-XL-16b-v1
31/78 refusals

Test 4: 100 tokens - Rocinante-XL-16b-v1
25/78 refusals

Hard to say if that is meaningful. By my guess I would keep the 300 but I trust your experience.

Optimization is randomized, and you need hundreds of runs with hundreds of trials each to make statistically meaningful empirical comparisons.

Such things have to be decided by deduction and insight. You have to look at responses and see where the sycophancy actually occurs. Those test results mean nothing.

p-e-w · 2026-06-04T09:49:46Z

+
+[bad_evaluation_prompts]
+dataset = "UnstableLlama/praise"
+split = "train[210:288]"


IIRC, Arditi et al. found sufficient direction determination already with 30-40 training prompts. Here you invest most of your dataset into training, leaving only 78 for evaluation. Maybe moving a few more prompts over to the evaluation dataset could make evaluation more stable?

Interesting, yeah I haven't played around with this much and I was just copying the ratio from the other configs. I will try this tonight as well.

I ran Llama3.2-3B and Rocinante-XL-16B-v1 each with the original 200:88 train:test split and then again with an increased test ratio of 175:113.

I don't really know what to look for but here are the geometry results, does anything stand out to you?

Test 1: Llama 3B - split 175:113 - initial refusals 23/113

Layer S(g,b) S(g*,b*) S(g,r) S(g*,r*) S(b,r) S(b*,r*) |g| |g*| |b| |b*| |r| |r*| Silh

1 0.9365 0.9349 -0.0892 -0.0941 0.2658 0.2654 1.52 1.52 1.57 1.57 0.55 0.56 0.7167

2 0.9104 0.9088 -0.1532 -0.1586 0.2695 0.2678 1.88 1.88 1.93 1.93 0.81 0.81 0.5738

3 0.9129 0.9114 -0.1868 -0.1934 0.2305 0.2274 2.65 2.66 2.67 2.68 1.11 1.12 0.5627

4 0.8771 0.8751 -0.2446 -0.2509 0.2511 0.2490 3.20 3.22 3.21 3.21 1.59 1.61 0.4458

5 0.8364 0.8335 -0.3477 -0.3537 0.2230 0.2220 4.13 4.15 3.97 3.98 2.32 2.35 0.3497

6 0.8169 0.8115 -0.4062 -0.4145 0.1952 0.1954 5.19 5.22 4.84 4.85 3.05 3.11 0.3809

7 0.8188 0.8135 -0.3758 -0.3838 0.2242 0.2248 5.47 5.51 5.20 5.22 3.22 3.29 0.3418

8 0.8181 0.8113 -0.2862 -0.2982 0.3169 0.3162 5.91 5.95 5.97 5.99 3.58 3.67 0.3230

9 0.7763 0.7686 -0.2527 -0.2669 0.4138 0.4114 6.34 6.40 6.74 6.77 4.39 4.49 0.3578

10 0.7391 0.7310 -0.1332 -0.1511 0.5691 0.5641 6.77 6.83 8.16 8.18 5.54 5.65 0.3792

11 0.7225 0.7134 -0.1180 -0.1424 0.6013 0.5920 6.97 7.07 8.66 8.68 6.03 6.15 0.3993

12 0.7192 0.7112 -0.1841 -0.2046 0.5505 0.5426 8.11 8.21 9.55 9.57 6.75 6.87 0.3963

13 0.6218 0.6153 -0.1687 -0.1863 0.6670 0.6599 8.00 8.11 10.58 10.60 8.41 8.51 0.3986

14 0.6293 0.6235 -0.1604 -0.1783 0.6662 0.6581 8.78 8.90 11.62 11.63 9.15 9.24 0.3823

15 0.6265 0.6202 -0.1159 -0.1359 0.7016 0.6929 9.30 9.45 12.96 12.98 10.17 10.28 0.3605

16 0.5769 0.5713 -0.1731 -0.1900 0.7046 0.6972 9.88 10.02 13.71 13.73 11.37 11.48 0.3367

17 0.5401 0.5343 -0.2090 -0.2251 0.7101 0.7033 10.68 10.83 14.83 14.85 12.76 12.88 0.3318

18 0.5304 0.5242 -0.2118 -0.2286 0.7162 0.7092 11.02 11.19 15.43 15.45 13.39 13.51 0.3229

19 0.5000 0.4939 -0.1800 -0.1952 0.7619 0.7564 11.23 11.39 17.06 17.07 15.02 15.13 0.3230

20 0.4788 0.4728 -0.1424 -0.1565 0.8008 0.7963 12.01 12.17 19.86 19.88 17.61 17.73 0.3447

21 0.4693 0.4634 -0.1740 -0.1891 0.7879 0.7825 13.32 13.52 21.31 21.32 19.11 19.24 0.3297

22 0.4595 0.4537 -0.1668 -0.1810 0.7991 0.7943 14.48 14.68 23.75 23.77 21.39 21.54 0.3438

23 0.4433 0.4383 -0.2040 -0.2172 0.7871 0.7822 16.11 16.34 25.57 25.59 23.41 23.57 0.3366

24 0.4646 0.4599 -0.2248 -0.2379 0.7584 0.7531 19.07 19.34 28.51 28.55 25.91 26.10 0.3251

25 0.4324 0.4267 -0.2629 -0.2762 0.7563 0.7514 20.86 21.15 30.76 30.80 28.74 28.99 0.3259

26 0.4526 0.4471 -0.2801 -0.2939 0.7292 0.7236 24.06 24.41 33.75 33.81 31.35 31.64 0.3187

27 0.4353 0.4297 -0.2571 -0.2712 0.7581 0.7526 26.01 26.42 38.55 38.61 35.91 36.22 0.3257

28 0.4315 0.4265 -0.2644 -0.2778 0.7559 0.7504 59.14 60.09 87.11 87.33 81.49 82.22 0.2962

Test 2 : Llama 3B - split 200:288 - initial refusals 18/88

Layer S(g,b) S(g*,b*) S(g,r) S(g*,r*) S(b,r) S(b*,r*) |g| |g*| |b| |b*| |r| |r*| Silh

1 0.9364 0.9348 -0.0883 -0.0933 0.2668 0.2665 1.52 1.52 1.57 1.57 0.55 0.56 0.7216

2 0.9103 0.9087 -0.1531 -0.1585 0.2696 0.2680 1.88 1.88 1.93 1.93 0.81 0.81 0.5836

3 0.9131 0.9116 -0.1880 -0.1946 0.2289 0.2259 2.65 2.66 2.67 2.67 1.11 1.12 0.5718

4 0.8772 0.8751 -0.2455 -0.2518 0.2501 0.2481 3.20 3.21 3.21 3.21 1.59 1.61 0.4590

5 0.8359 0.8330 -0.3483 -0.3544 0.2234 0.2221 4.13 4.15 3.97 3.98 2.33 2.35 0.3650

6 0.8163 0.8109 -0.4071 -0.4156 0.1952 0.1952 5.19 5.22 4.83 4.85 3.06 3.12 0.3961

7 0.8187 0.8133 -0.3761 -0.3844 0.2241 0.2244 5.47 5.51 5.20 5.22 3.22 3.29 0.3578

8 0.8180 0.8112 -0.2881 -0.3002 0.3152 0.3143 5.90 5.95 5.96 5.98 3.58 3.67 0.3390

9 0.7765 0.7686 -0.2548 -0.2690 0.4115 0.4094 6.34 6.40 6.73 6.76 4.38 4.49 0.3734

10 0.7397 0.7313 -0.1331 -0.1507 0.5685 0.5640 6.77 6.83 8.15 8.18 5.54 5.64 0.3954

11 0.7226 0.7134 -0.1174 -0.1417 0.6017 0.5926 6.96 7.06 8.65 8.68 6.02 6.14 0.4157

12 0.7194 0.7113 -0.1838 -0.2040 0.5506 0.5430 8.11 8.21 9.55 9.57 6.75 6.87 0.4129

13 0.6225 0.6159 -0.1690 -0.1864 0.6662 0.6592 8.00 8.11 10.57 10.60 8.39 8.50 0.4143

14 0.6302 0.6245 -0.1596 -0.1774 0.6659 0.6579 8.78 8.90 11.61 11.63 9.13 9.23 0.3991

15 0.6271 0.6207 -0.1150 -0.1351 0.7016 0.6930 9.29 9.44 12.96 12.98 10.16 10.27 0.3777

16 0.5773 0.5717 -0.1717 -0.1885 0.7053 0.6980 9.87 10.01 13.71 13.73 11.36 11.47 0.3543

17 0.5404 0.5346 -0.2074 -0.2234 0.7110 0.7043 10.66 10.81 14.83 14.85 12.76 12.87 0.3497

18 0.5306 0.5244 -0.2100 -0.2268 0.7173 0.7103 11.00 11.17 15.44 15.46 13.38 13.51 0.3412

19 0.5002 0.4941 -0.1784 -0.1935 0.7628 0.7573 11.21 11.37 17.06 17.08 15.01 15.13 0.3410

20 0.4787 0.4726 -0.1404 -0.1546 0.8021 0.7976 11.99 12.15 19.88 19.90 17.63 17.75 0.3622

21 0.4690 0.4629 -0.1725 -0.1876 0.7890 0.7838 13.30 13.49 21.32 21.34 19.12 19.26 0.3479

22 0.4590 0.4531 -0.1650 -0.1792 0.8005 0.7958 14.45 14.65 23.78 23.81 21.42 21.57 0.3615

23 0.4428 0.4377 -0.2023 -0.2154 0.7885 0.7838 16.08 16.30 25.60 25.63 23.44 23.60 0.3543

24 0.4636 0.4588 -0.2234 -0.2365 0.7601 0.7549 19.03 19.30 28.54 28.58 25.95 26.14 0.3427

25 0.4318 0.4259 -0.2619 -0.2752 0.7574 0.7526 20.83 21.12 30.79 30.84 28.77 29.02 0.3434

26 0.4521 0.4464 -0.2788 -0.2926 0.7305 0.7250 24.02 24.38 33.78 33.85 31.38 31.67 0.3361

27 0.4352 0.4295 -0.2559 -0.2700 0.7590 0.7536 25.99 26.39 38.58 38.65 35.93 36.25 0.3424

28 0.4320 0.4269 -0.2636 -0.2770 0.7561 0.7507 59.14 60.09 87.16 87.39 81.49 82.24 0.3143

Test 3: Rocinante-XL-16b-v1 - split 175:113 - initial refusals 45/113

Layer S(g,b) S(g*,b*) S(g,r) S(g*,r*) S(b,r) S(b*,r*) |g| |g*| |b| |b*| |r| |r*| Silh

1 0.9787 0.9784 -0.0840 -0.0883 0.1226 0.1198 2.33 2.33 2.34 2.34 0.48 0.49 0.3397

2 0.9509 0.9503 -0.1183 -0.1189 0.1948 0.1960 2.93 2.93 2.96 2.97 0.92 0.93 0.2944

3 0.9292 0.9285 -0.1002 -0.1040 0.2746 0.2728 4.24 4.24 4.39 4.39 1.63 1.64 0.2852

4 0.9142 0.9134 -0.2119 -0.2184 0.2022 0.1976 5.25 5.26 5.23 5.24 2.17 2.18 0.3033

5 0.8948 0.8940 -0.2750 -0.2820 0.1831 0.1778 6.34 6.37 6.20 6.21 2.88 2.90 0.2918

6 0.8917 0.8907 -0.2975 -0.3037 0.1669 0.1626 7.91 7.94 7.66 7.67 3.63 3.66 0.3066

7 0.8770 0.8762 -0.4147 -0.4179 0.0736 0.0717 9.00 9.03 8.21 8.22 4.34 4.36 0.3014

8 0.8493 0.8489 -0.3762 -0.3772 0.1696 0.1693 10.03 10.05 9.43 9.45 5.37 5.39 0.2648

9 0.8482 0.8475 -0.3672 -0.3707 0.1812 0.1787 11.25 11.30 10.64 10.66 6.06 6.09 0.2882

10 0.8143 0.8136 -0.3675 -0.3712 0.2405 0.2378 12.23 12.27 11.71 11.73 7.31 7.35 0.2872

11 0.8228 0.8215 -0.4022 -0.4081 0.1895 0.1853 14.43 14.51 13.46 13.48 8.35 8.42 0.2876

12 0.8147 0.8132 -0.4016 -0.4067 0.2040 0.2009 14.81 14.89 13.85 13.88 8.77 8.85 0.2615

13 0.8038 0.8014 -0.3599 -0.3667 0.2656 0.2626 16.70 16.80 16.16 16.20 10.30 10.42 0.2850

14 0.7812 0.7779 -0.3179 -0.3235 0.3435 0.3429 17.27 17.36 17.44 17.49 11.48 11.62 0.2899

15 0.8127 0.8099 -0.3509 -0.3574 0.2604 0.2584 19.56 19.70 18.97 19.04 11.81 11.96 0.2870

16 0.7878 0.7842 -0.3267 -0.3343 0.3247 0.3226 18.76 18.89 18.75 18.81 12.22 12.38 0.2710

17 0.8025 0.7989 -0.2968 -0.3046 0.3316 0.3295 21.54 21.69 21.80 21.88 13.62 13.82 0.2858

18 0.7911 0.7878 -0.2571 -0.2678 0.3877 0.3825 22.71 22.91 23.81 23.89 15.07 15.27 0.2821

19 0.7842 0.7812 -0.2920 -0.3048 0.3645 0.3564 27.98 28.27 28.74 28.81 18.65 18.88 0.3002

20 0.7208 0.7171 -0.2655 -0.2811 0.4769 0.4673 27.53 27.87 30.19 30.25 21.71 21.97 0.2947

21 0.6942 0.6907 -0.2567 -0.2717 0.5175 0.5083 29.89 30.28 33.76 33.83 25.15 25.42 0.3019

22 0.7212 0.7176 -0.2276 -0.2439 0.5104 0.5004 34.11 34.55 38.63 38.70 27.48 27.79 0.2936

23 0.6827 0.6790 -0.2606 -0.2773 0.5275 0.5170 37.24 37.78 42.32 42.40 32.03 32.40 0.3120

24 0.6905 0.6873 -0.2548 -0.2724 0.5236 0.5117 42.12 42.78 47.80 47.91 35.76 36.17 0.3152

25 0.7078 0.7044 -0.2103 -0.2289 0.5418 0.5297 45.85 46.54 53.33 53.41 38.54 38.95 0.3027

26 0.6458 0.6417 -0.2725 -0.2898 0.5587 0.5481 47.05 47.78 54.58 54.67 43.31 43.81 0.3194

27 0.6524 0.6484 -0.2746 -0.2923 0.5495 0.5385 49.86 50.65 57.39 57.49 45.23 45.76 0.3099

28 0.6488 0.6451 -0.2783 -0.2954 0.5503 0.5394 52.09 52.91 59.92 60.03 47.47 48.01 0.3082

29 0.6493 0.6456 -0.2786 -0.2957 0.5495 0.5386 52.11 52.94 59.91 60.02 47.44 47.98 0.3069

30 0.6487 0.6450 -0.2799 -0.2970 0.5491 0.5382 52.21 53.03 59.97 60.08 47.54 48.09 0.3066

31 0.5980 0.5940 -0.3481 -0.3648 0.5432 0.5324 54.55 55.47 60.91 61.01 52.07 52.72 0.3139

32 0.5966 0.5926 -0.3484 -0.3651 0.5444 0.5336 54.56 55.48 60.97 61.07 52.20 52.84 0.3141

33 0.5954 0.5914 -0.3485 -0.3652 0.5455 0.5347 54.57 55.49 61.03 61.14 52.31 52.96 0.3142

34 0.6060 0.6020 -0.3596 -0.3762 0.5244 0.5133 59.21 60.20 64.88 64.99 55.31 56.01 0.3095

35 0.6041 0.6001 -0.3607 -0.3772 0.5254 0.5145 59.21 60.19 64.91 65.01 55.46 56.15 0.3074

36 0.6034 0.5995 -0.3608 -0.3771 0.5260 0.5153 59.25 60.22 64.98 65.08 55.56 56.24 0.3049

37 0.6270 0.6234 -0.3429 -0.3593 0.5168 0.5058 62.41 63.40 68.48 68.58 56.79 57.46 0.2944

38 0.6265 0.6229 -0.3425 -0.3589 0.5177 0.5067 62.43 63.41 68.55 68.65 56.87 57.54 0.2940

39 0.6258 0.6222 -0.3433 -0.3596 0.5177 0.5067 62.46 63.45 68.57 68.67 56.94 57.61 0.2934

40 0.6341 0.6307 -0.3268 -0.3432 0.5235 0.5125 66.88 67.93 74.19 74.30 60.70 61.39 0.2907

41 0.6341 0.6307 -0.3254 -0.3416 0.5248 0.5138 66.91 67.95 74.32 74.44 60.77 61.46 0.2900

42 0.6331 0.6297 -0.3257 -0.3419 0.5257 0.5148 66.92 67.96 74.38 74.49 60.90 61.58 0.2894

43 0.6039 0.6007 -0.3386 -0.3524 0.5454 0.5366 68.75 69.71 77.18 77.31 65.38 66.04 0.2953

44 0.6042 0.6010 -0.3362 -0.3498 0.5473 0.5385 68.80 69.74 77.41 77.54 65.50 66.15 0.2933

45 0.6034 0.6002 -0.3362 -0.3497 0.5481 0.5394 68.79 69.73 77.46 77.58 65.59 66.23 0.2912

46 0.6021 0.5989 -0.3315 -0.3465 0.5536 0.5437 72.43 73.54 82.06 82.19 69.45 70.17 0.2818

47 0.6016 0.5984 -0.3325 -0.3475 0.5533 0.5434 72.50 73.61 82.08 82.22 69.52 70.25 0.2817

48 0.6005 0.5973 -0.3334 -0.3483 0.5536 0.5437 72.56 73.67 82.15 82.28 69.67 70.40 0.2818

49 0.6483 0.6452 -0.2938 -0.3086 0.5373 0.5276 80.25 81.34 90.96 91.08 72.45 73.16 0.2648

50 0.6757 0.6726 -0.2985 -0.3120 0.5019 0.4932 89.30 90.33 98.53 98.66 76.11 76.84 0.2603

51 0.6752 0.6716 -0.2613 -0.2753 0.5355 0.5274 93.56 94.64 106.94 107.08 81.72 82.52 0.2492

52 0.7099 0.7060 -0.2129 -0.2281 0.5370 0.5284 104.26 105.42 120.76 120.90 87.04 87.94 0.2391

53 0.8084 0.8055 -0.2079 -0.2160 0.4078 0.4046 147.65 148.29 158.17 158.32 95.19 96.09 0.2282

54 0.7010 0.6964 -0.2634 -0.2753 0.5034 0.4982 322.64 325.61 360.22 361.01 266.31 269.50 0.2316

Test 4: Rocinante-XL-16b-v1 - split 200:288 - initial refusals 35/88

Layer S(g,b) S(g*,b*) S(g,r) S(g*,r*) S(b,r) S(b*,r*) |g| |g*| |b| |b*| |r| |r*| Silh

1 0.9786 0.9783 -0.0811 -0.0854 0.1256 0.1228 2.33 2.33 2.34 2.34 0.48 0.49 0.3564

2 0.9508 0.9502 -0.1176 -0.1185 0.1960 0.1969 2.93 2.93 2.97 2.97 0.93 0.93 0.3073

3 0.9292 0.9285 -0.1005 -0.1050 0.2743 0.2718 4.24 4.24 4.39 4.38 1.63 1.64 0.2938

4 0.9143 0.9135 -0.2139 -0.2204 0.2002 0.1955 5.25 5.26 5.23 5.23 2.17 2.18 0.3125

5 0.8948 0.8940 -0.2766 -0.2835 0.1816 0.1763 6.34 6.37 6.20 6.20 2.88 2.90 0.3032

6 0.8916 0.8907 -0.2990 -0.3050 0.1655 0.1613 7.91 7.94 7.65 7.66 3.63 3.66 0.3181

7 0.8770 0.8762 -0.4155 -0.4186 0.0728 0.0709 9.00 9.03 8.21 8.22 4.34 4.36 0.3133

8 0.8494 0.8491 -0.3770 -0.3777 0.1686 0.1684 10.03 10.05 9.43 9.44 5.37 5.39 0.2767

9 0.8483 0.8477 -0.3680 -0.3715 0.1802 0.1776 11.25 11.30 10.64 10.66 6.06 6.09 0.2998

10 0.8142 0.8136 -0.3686 -0.3723 0.2395 0.2367 12.23 12.27 11.71 11.72 7.31 7.35 0.2985

11 0.8228 0.8216 -0.4026 -0.4084 0.1890 0.1849 14.43 14.51 13.45 13.48 8.35 8.42 0.2977

12 0.8149 0.8134 -0.4019 -0.4068 0.2033 0.2005 14.81 14.89 13.85 13.88 8.77 8.84 0.2729

13 0.8040 0.8015 -0.3601 -0.3665 0.2652 0.2626 16.70 16.80 16.16 16.20 10.30 10.41 0.2955

14 0.7814 0.7779 -0.3187 -0.3239 0.3425 0.3425 17.27 17.36 17.42 17.49 11.47 11.61 0.3008

15 0.8128 0.8099 -0.3516 -0.3577 0.2595 0.2581 19.56 19.70 18.96 19.04 11.80 11.96 0.2985

16 0.7878 0.7841 -0.3271 -0.3344 0.3244 0.3228 18.76 18.89 18.74 18.81 12.22 12.39 0.2832

17 0.8026 0.7989 -0.2973 -0.3049 0.3310 0.3293 21.54 21.69 21.79 21.88 13.62 13.81 0.2980

18 0.7913 0.7878 -0.2576 -0.2678 0.3870 0.3824 22.71 22.91 23.80 23.89 15.06 15.27 0.2953

19 0.7847 0.7816 -0.2918 -0.3043 0.3639 0.3564 27.98 28.27 28.74 28.82 18.62 18.87 0.3133

20 0.7213 0.7175 -0.2654 -0.2808 0.4763 0.4670 27.53 27.87 30.18 30.25 21.68 21.95 0.3080

21 0.6950 0.6913 -0.2562 -0.2709 0.5170 0.5083 29.89 30.28 33.76 33.84 25.11 25.40 0.3152

22 0.7220 0.7183 -0.2263 -0.2423 0.5105 0.5010 34.11 34.55 38.64 38.73 27.44 27.77 0.3071

23 0.6835 0.6796 -0.2598 -0.2764 0.5273 0.5172 37.24 37.78 42.32 42.42 31.99 32.38 0.3250

24 0.6913 0.6878 -0.2539 -0.2715 0.5234 0.5118 42.12 42.78 47.81 47.93 35.72 36.15 0.3282

25 0.7087 0.7050 -0.2094 -0.2281 0.5415 0.5297 45.85 46.54 53.33 53.42 38.48 38.92 0.3151

26 0.6470 0.6426 -0.2716 -0.2890 0.5581 0.5478 47.05 47.78 54.57 54.68 43.24 43.76 0.3311

27 0.6535 0.6492 -0.2735 -0.2912 0.5493 0.5386 49.86 50.65 57.40 57.51 45.17 45.73 0.3217

28 0.6501 0.6461 -0.2768 -0.2940 0.5502 0.5397 52.09 52.91 59.94 60.07 47.40 47.97 0.3199

29 0.6505 0.6465 -0.2771 -0.2943 0.5495 0.5389 52.11 52.94 59.93 60.06 47.37 47.94 0.3186

30 0.6499 0.6459 -0.2784 -0.2955 0.5490 0.5385 52.21 53.03 59.99 60.12 47.48 48.05 0.3182

31 0.5993 0.5949 -0.3471 -0.3638 0.5428 0.5323 54.55 55.47 60.92 61.04 52.00 52.67 0.3251

32 0.5979 0.5935 -0.3474 -0.3641 0.5440 0.5335 54.56 55.48 60.97 61.10 52.12 52.80 0.3252

33 0.5967 0.5923 -0.3475 -0.3642 0.5451 0.5346 54.57 55.49 61.03 61.16 52.23 52.91 0.3254

34 0.6075 0.6031 -0.3581 -0.3749 0.5241 0.5134 59.21 60.20 64.91 65.03 55.22 55.95 0.3203

35 0.6056 0.6013 -0.3592 -0.3758 0.5251 0.5146 59.21 60.19 64.94 65.06 55.37 56.09 0.3180

36 0.6050 0.6007 -0.3593 -0.3757 0.5257 0.5152 59.25 60.22 65.00 65.12 55.46 56.18 0.3154

37 0.6283 0.6244 -0.3416 -0.3580 0.5165 0.5058 62.41 63.40 68.50 68.62 56.70 57.40 0.3050

38 0.6279 0.6240 -0.3412 -0.3576 0.5173 0.5066 62.43 63.41 68.57 68.69 56.78 57.48 0.3046

39 0.6272 0.6233 -0.3421 -0.3584 0.5173 0.5067 62.46 63.45 68.59 68.71 56.85 57.55 0.3040

40 0.6350 0.6312 -0.3256 -0.3421 0.5236 0.5129 66.88 67.93 74.23 74.36 60.65 61.38 0.3011

41 0.6350 0.6313 -0.3242 -0.3405 0.5249 0.5142 66.91 67.95 74.36 74.49 60.72 61.45 0.3004

42 0.6339 0.6302 -0.3245 -0.3408 0.5258 0.5152 66.92 67.96 74.41 74.55 60.84 61.57 0.2998

43 0.6049 0.6014 -0.3376 -0.3513 0.5453 0.5368 68.75 69.71 77.21 77.35 65.32 66.01 0.3051

44 0.6052 0.6018 -0.3352 -0.3487 0.5472 0.5387 68.80 69.74 77.44 77.58 65.43 66.11 0.3030

45 0.6044 0.6010 -0.3352 -0.3487 0.5480 0.5396 68.79 69.73 77.48 77.63 65.52 66.20 0.3008

46 0.6029 0.5994 -0.3309 -0.3459 0.5534 0.5437 72.43 73.54 82.06 82.21 69.38 70.14 0.2912

47 0.6024 0.5989 -0.3319 -0.3469 0.5530 0.5434 72.50 73.61 82.08 82.23 69.46 70.22 0.2911

48 0.6013 0.5978 -0.3328 -0.3478 0.5534 0.5438 72.56 73.67 82.15 82.30 69.61 70.37 0.2911

49 0.6488 0.6455 -0.2932 -0.3080 0.5373 0.5278 80.25 81.34 90.97 91.11 72.41 73.15 0.2742

50 0.6758 0.6725 -0.2988 -0.3122 0.5015 0.4931 89.30 90.33 98.50 98.64 76.08 76.84 0.2699

51 0.6754 0.6717 -0.2612 -0.2750 0.5354 0.5275 93.56 94.64 106.93 107.10 81.69 82.53 0.2589

52 0.7099 0.7058 -0.2135 -0.2287 0.5366 0.5282 104.26 105.42 120.70 120.86 87.02 87.95 0.2489

53 0.8083 0.8054 -0.2080 -0.2160 0.4077 0.4047 147.65 148.29 158.16 158.33 95.19 96.12 0.2387

54 0.7010 0.6963 -0.2616 -0.2737 0.5049 0.4998 322.64 325.61 360.78 361.57 266.58 269.83 0.2431

feat: add config.nosyco.toml

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Update config.nosyco.toml

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Use system_prompt, not prefix.

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UnstableLlama and others added 2 commits June 4, 2026 00:12

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Co-authored-by: Philipp Emanuel Weidmann <pew@worldwidemann.com>

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Layer	S(g,b)	S(g,b)	S(g,r)	S(g,r)	S(b,r)	S(b,r)	\|g\|	\|g*\|	\|b\|	\|b*\|	\|r\|	\|r*\|	Silh
1	0.9365	0.9349	-0.0892	-0.0941	0.2658	0.2654	1.52	1.52	1.57	1.57	0.55	0.56	0.7167
2	0.9104	0.9088	-0.1532	-0.1586	0.2695	0.2678	1.88	1.88	1.93	1.93	0.81	0.81	0.5738
3	0.9129	0.9114	-0.1868	-0.1934	0.2305	0.2274	2.65	2.66	2.67	2.68	1.11	1.12	0.5627
4	0.8771	0.8751	-0.2446	-0.2509	0.2511	0.2490	3.20	3.22	3.21	3.21	1.59	1.61	0.4458
5	0.8364	0.8335	-0.3477	-0.3537	0.2230	0.2220	4.13	4.15	3.97	3.98	2.32	2.35	0.3497
6	0.8169	0.8115	-0.4062	-0.4145	0.1952	0.1954	5.19	5.22	4.84	4.85	3.05	3.11	0.3809
7	0.8188	0.8135	-0.3758	-0.3838	0.2242	0.2248	5.47	5.51	5.20	5.22	3.22	3.29	0.3418
8	0.8181	0.8113	-0.2862	-0.2982	0.3169	0.3162	5.91	5.95	5.97	5.99	3.58	3.67	0.3230
9	0.7763	0.7686	-0.2527	-0.2669	0.4138	0.4114	6.34	6.40	6.74	6.77	4.39	4.49	0.3578
10	0.7391	0.7310	-0.1332	-0.1511	0.5691	0.5641	6.77	6.83	8.16	8.18	5.54	5.65	0.3792
11	0.7225	0.7134	-0.1180	-0.1424	0.6013	0.5920	6.97	7.07	8.66	8.68	6.03	6.15	0.3993
12	0.7192	0.7112	-0.1841	-0.2046	0.5505	0.5426	8.11	8.21	9.55	9.57	6.75	6.87	0.3963
13	0.6218	0.6153	-0.1687	-0.1863	0.6670	0.6599	8.00	8.11	10.58	10.60	8.41	8.51	0.3986
14	0.6293	0.6235	-0.1604	-0.1783	0.6662	0.6581	8.78	8.90	11.62	11.63	9.15	9.24	0.3823
15	0.6265	0.6202	-0.1159	-0.1359	0.7016	0.6929	9.30	9.45	12.96	12.98	10.17	10.28	0.3605
16	0.5769	0.5713	-0.1731	-0.1900	0.7046	0.6972	9.88	10.02	13.71	13.73	11.37	11.48	0.3367
17	0.5401	0.5343	-0.2090	-0.2251	0.7101	0.7033	10.68	10.83	14.83	14.85	12.76	12.88	0.3318
18	0.5304	0.5242	-0.2118	-0.2286	0.7162	0.7092	11.02	11.19	15.43	15.45	13.39	13.51	0.3229
19	0.5000	0.4939	-0.1800	-0.1952	0.7619	0.7564	11.23	11.39	17.06	17.07	15.02	15.13	0.3230
20	0.4788	0.4728	-0.1424	-0.1565	0.8008	0.7963	12.01	12.17	19.86	19.88	17.61	17.73	0.3447
21	0.4693	0.4634	-0.1740	-0.1891	0.7879	0.7825	13.32	13.52	21.31	21.32	19.11	19.24	0.3297
22	0.4595	0.4537	-0.1668	-0.1810	0.7991	0.7943	14.48	14.68	23.75	23.77	21.39	21.54	0.3438
23	0.4433	0.4383	-0.2040	-0.2172	0.7871	0.7822	16.11	16.34	25.57	25.59	23.41	23.57	0.3366
24	0.4646	0.4599	-0.2248	-0.2379	0.7584	0.7531	19.07	19.34	28.51	28.55	25.91	26.10	0.3251
25	0.4324	0.4267	-0.2629	-0.2762	0.7563	0.7514	20.86	21.15	30.76	30.80	28.74	28.99	0.3259
26	0.4526	0.4471	-0.2801	-0.2939	0.7292	0.7236	24.06	24.41	33.75	33.81	31.35	31.64	0.3187
27	0.4353	0.4297	-0.2571	-0.2712	0.7581	0.7526	26.01	26.42	38.55	38.61	35.91	36.22	0.3257
28	0.4315	0.4265	-0.2644	-0.2778	0.7559	0.7504	59.14	60.09	87.11	87.33	81.49	82.22	0.2962

Layer	S(g,b)	S(g,b)	S(g,r)	S(g,r)	S(b,r)	S(b,r)	\|g\|	\|g*\|	\|b\|	\|b*\|	\|r\|	\|r*\|	Silh
1	0.9364	0.9348	-0.0883	-0.0933	0.2668	0.2665	1.52	1.52	1.57	1.57	0.55	0.56	0.7216
2	0.9103	0.9087	-0.1531	-0.1585	0.2696	0.2680	1.88	1.88	1.93	1.93	0.81	0.81	0.5836
3	0.9131	0.9116	-0.1880	-0.1946	0.2289	0.2259	2.65	2.66	2.67	2.67	1.11	1.12	0.5718
4	0.8772	0.8751	-0.2455	-0.2518	0.2501	0.2481	3.20	3.21	3.21	3.21	1.59	1.61	0.4590
5	0.8359	0.8330	-0.3483	-0.3544	0.2234	0.2221	4.13	4.15	3.97	3.98	2.33	2.35	0.3650
6	0.8163	0.8109	-0.4071	-0.4156	0.1952	0.1952	5.19	5.22	4.83	4.85	3.06	3.12	0.3961
7	0.8187	0.8133	-0.3761	-0.3844	0.2241	0.2244	5.47	5.51	5.20	5.22	3.22	3.29	0.3578
8	0.8180	0.8112	-0.2881	-0.3002	0.3152	0.3143	5.90	5.95	5.96	5.98	3.58	3.67	0.3390
9	0.7765	0.7686	-0.2548	-0.2690	0.4115	0.4094	6.34	6.40	6.73	6.76	4.38	4.49	0.3734
10	0.7397	0.7313	-0.1331	-0.1507	0.5685	0.5640	6.77	6.83	8.15	8.18	5.54	5.64	0.3954
11	0.7226	0.7134	-0.1174	-0.1417	0.6017	0.5926	6.96	7.06	8.65	8.68	6.02	6.14	0.4157
12	0.7194	0.7113	-0.1838	-0.2040	0.5506	0.5430	8.11	8.21	9.55	9.57	6.75	6.87	0.4129
13	0.6225	0.6159	-0.1690	-0.1864	0.6662	0.6592	8.00	8.11	10.57	10.60	8.39	8.50	0.4143
14	0.6302	0.6245	-0.1596	-0.1774	0.6659	0.6579	8.78	8.90	11.61	11.63	9.13	9.23	0.3991
15	0.6271	0.6207	-0.1150	-0.1351	0.7016	0.6930	9.29	9.44	12.96	12.98	10.16	10.27	0.3777
16	0.5773	0.5717	-0.1717	-0.1885	0.7053	0.6980	9.87	10.01	13.71	13.73	11.36	11.47	0.3543
17	0.5404	0.5346	-0.2074	-0.2234	0.7110	0.7043	10.66	10.81	14.83	14.85	12.76	12.87	0.3497
18	0.5306	0.5244	-0.2100	-0.2268	0.7173	0.7103	11.00	11.17	15.44	15.46	13.38	13.51	0.3412
19	0.5002	0.4941	-0.1784	-0.1935	0.7628	0.7573	11.21	11.37	17.06	17.08	15.01	15.13	0.3410
20	0.4787	0.4726	-0.1404	-0.1546	0.8021	0.7976	11.99	12.15	19.88	19.90	17.63	17.75	0.3622
21	0.4690	0.4629	-0.1725	-0.1876	0.7890	0.7838	13.30	13.49	21.32	21.34	19.12	19.26	0.3479
22	0.4590	0.4531	-0.1650	-0.1792	0.8005	0.7958	14.45	14.65	23.78	23.81	21.42	21.57	0.3615
23	0.4428	0.4377	-0.2023	-0.2154	0.7885	0.7838	16.08	16.30	25.60	25.63	23.44	23.60	0.3543
24	0.4636	0.4588	-0.2234	-0.2365	0.7601	0.7549	19.03	19.30	28.54	28.58	25.95	26.14	0.3427
25	0.4318	0.4259	-0.2619	-0.2752	0.7574	0.7526	20.83	21.12	30.79	30.84	28.77	29.02	0.3434
26	0.4521	0.4464	-0.2788	-0.2926	0.7305	0.7250	24.02	24.38	33.78	33.85	31.38	31.67	0.3361
27	0.4352	0.4295	-0.2559	-0.2700	0.7590	0.7536	25.99	26.39	38.58	38.65	35.93	36.25	0.3424
28	0.4320	0.4269	-0.2636	-0.2770	0.7561	0.7507	59.14	60.09	87.16	87.39	81.49	82.24	0.3143

Layer	S(g,b)	S(g,b)	S(g,r)	S(g,r)	S(b,r)	S(b,r)	\|g\|	\|g*\|	\|b\|	\|b*\|	\|r\|	\|r*\|	Silh
1	0.9787	0.9784	-0.0840	-0.0883	0.1226	0.1198	2.33	2.33	2.34	2.34	0.48	0.49	0.3397
2	0.9509	0.9503	-0.1183	-0.1189	0.1948	0.1960	2.93	2.93	2.96	2.97	0.92	0.93	0.2944
3	0.9292	0.9285	-0.1002	-0.1040	0.2746	0.2728	4.24	4.24	4.39	4.39	1.63	1.64	0.2852
4	0.9142	0.9134	-0.2119	-0.2184	0.2022	0.1976	5.25	5.26	5.23	5.24	2.17	2.18	0.3033
5	0.8948	0.8940	-0.2750	-0.2820	0.1831	0.1778	6.34	6.37	6.20	6.21	2.88	2.90	0.2918
6	0.8917	0.8907	-0.2975	-0.3037	0.1669	0.1626	7.91	7.94	7.66	7.67	3.63	3.66	0.3066
7	0.8770	0.8762	-0.4147	-0.4179	0.0736	0.0717	9.00	9.03	8.21	8.22	4.34	4.36	0.3014
8	0.8493	0.8489	-0.3762	-0.3772	0.1696	0.1693	10.03	10.05	9.43	9.45	5.37	5.39	0.2648
9	0.8482	0.8475	-0.3672	-0.3707	0.1812	0.1787	11.25	11.30	10.64	10.66	6.06	6.09	0.2882
10	0.8143	0.8136	-0.3675	-0.3712	0.2405	0.2378	12.23	12.27	11.71	11.73	7.31	7.35	0.2872
11	0.8228	0.8215	-0.4022	-0.4081	0.1895	0.1853	14.43	14.51	13.46	13.48	8.35	8.42	0.2876
12	0.8147	0.8132	-0.4016	-0.4067	0.2040	0.2009	14.81	14.89	13.85	13.88	8.77	8.85	0.2615
13	0.8038	0.8014	-0.3599	-0.3667	0.2656	0.2626	16.70	16.80	16.16	16.20	10.30	10.42	0.2850
14	0.7812	0.7779	-0.3179	-0.3235	0.3435	0.3429	17.27	17.36	17.44	17.49	11.48	11.62	0.2899
15	0.8127	0.8099	-0.3509	-0.3574	0.2604	0.2584	19.56	19.70	18.97	19.04	11.81	11.96	0.2870
16	0.7878	0.7842	-0.3267	-0.3343	0.3247	0.3226	18.76	18.89	18.75	18.81	12.22	12.38	0.2710
17	0.8025	0.7989	-0.2968	-0.3046	0.3316	0.3295	21.54	21.69	21.80	21.88	13.62	13.82	0.2858
18	0.7911	0.7878	-0.2571	-0.2678	0.3877	0.3825	22.71	22.91	23.81	23.89	15.07	15.27	0.2821
19	0.7842	0.7812	-0.2920	-0.3048	0.3645	0.3564	27.98	28.27	28.74	28.81	18.65	18.88	0.3002
20	0.7208	0.7171	-0.2655	-0.2811	0.4769	0.4673	27.53	27.87	30.19	30.25	21.71	21.97	0.2947
21	0.6942	0.6907	-0.2567	-0.2717	0.5175	0.5083	29.89	30.28	33.76	33.83	25.15	25.42	0.3019
22	0.7212	0.7176	-0.2276	-0.2439	0.5104	0.5004	34.11	34.55	38.63	38.70	27.48	27.79	0.2936
23	0.6827	0.6790	-0.2606	-0.2773	0.5275	0.5170	37.24	37.78	42.32	42.40	32.03	32.40	0.3120
24	0.6905	0.6873	-0.2548	-0.2724	0.5236	0.5117	42.12	42.78	47.80	47.91	35.76	36.17	0.3152
25	0.7078	0.7044	-0.2103	-0.2289	0.5418	0.5297	45.85	46.54	53.33	53.41	38.54	38.95	0.3027
26	0.6458	0.6417	-0.2725	-0.2898	0.5587	0.5481	47.05	47.78	54.58	54.67	43.31	43.81	0.3194
27	0.6524	0.6484	-0.2746	-0.2923	0.5495	0.5385	49.86	50.65	57.39	57.49	45.23	45.76	0.3099
28	0.6488	0.6451	-0.2783	-0.2954	0.5503	0.5394	52.09	52.91	59.92	60.03	47.47	48.01	0.3082
29	0.6493	0.6456	-0.2786	-0.2957	0.5495	0.5386	52.11	52.94	59.91	60.02	47.44	47.98	0.3069
30	0.6487	0.6450	-0.2799	-0.2970	0.5491	0.5382	52.21	53.03	59.97	60.08	47.54	48.09	0.3066
31	0.5980	0.5940	-0.3481	-0.3648	0.5432	0.5324	54.55	55.47	60.91	61.01	52.07	52.72	0.3139
32	0.5966	0.5926	-0.3484	-0.3651	0.5444	0.5336	54.56	55.48	60.97	61.07	52.20	52.84	0.3141
33	0.5954	0.5914	-0.3485	-0.3652	0.5455	0.5347	54.57	55.49	61.03	61.14	52.31	52.96	0.3142
34	0.6060	0.6020	-0.3596	-0.3762	0.5244	0.5133	59.21	60.20	64.88	64.99	55.31	56.01	0.3095
35	0.6041	0.6001	-0.3607	-0.3772	0.5254	0.5145	59.21	60.19	64.91	65.01	55.46	56.15	0.3074
36	0.6034	0.5995	-0.3608	-0.3771	0.5260	0.5153	59.25	60.22	64.98	65.08	55.56	56.24	0.3049
37	0.6270	0.6234	-0.3429	-0.3593	0.5168	0.5058	62.41	63.40	68.48	68.58	56.79	57.46	0.2944
38	0.6265	0.6229	-0.3425	-0.3589	0.5177	0.5067	62.43	63.41	68.55	68.65	56.87	57.54	0.2940
39	0.6258	0.6222	-0.3433	-0.3596	0.5177	0.5067	62.46	63.45	68.57	68.67	56.94	57.61	0.2934
40	0.6341	0.6307	-0.3268	-0.3432	0.5235	0.5125	66.88	67.93	74.19	74.30	60.70	61.39	0.2907
41	0.6341	0.6307	-0.3254	-0.3416	0.5248	0.5138	66.91	67.95	74.32	74.44	60.77	61.46	0.2900
42	0.6331	0.6297	-0.3257	-0.3419	0.5257	0.5148	66.92	67.96	74.38	74.49	60.90	61.58	0.2894
43	0.6039	0.6007	-0.3386	-0.3524	0.5454	0.5366	68.75	69.71	77.18	77.31	65.38	66.04	0.2953
44	0.6042	0.6010	-0.3362	-0.3498	0.5473	0.5385	68.80	69.74	77.41	77.54	65.50	66.15	0.2933
45	0.6034	0.6002	-0.3362	-0.3497	0.5481	0.5394	68.79	69.73	77.46	77.58	65.59	66.23	0.2912
46	0.6021	0.5989	-0.3315	-0.3465	0.5536	0.5437	72.43	73.54	82.06	82.19	69.45	70.17	0.2818
47	0.6016	0.5984	-0.3325	-0.3475	0.5533	0.5434	72.50	73.61	82.08	82.22	69.52	70.25	0.2817
48	0.6005	0.5973	-0.3334	-0.3483	0.5536	0.5437	72.56	73.67	82.15	82.28	69.67	70.40	0.2818
49	0.6483	0.6452	-0.2938	-0.3086	0.5373	0.5276	80.25	81.34	90.96	91.08	72.45	73.16	0.2648
50	0.6757	0.6726	-0.2985	-0.3120	0.5019	0.4932	89.30	90.33	98.53	98.66	76.11	76.84	0.2603
51	0.6752	0.6716	-0.2613	-0.2753	0.5355	0.5274	93.56	94.64	106.94	107.08	81.72	82.52	0.2492
52	0.7099	0.7060	-0.2129	-0.2281	0.5370	0.5284	104.26	105.42	120.76	120.90	87.04	87.94	0.2391
53	0.8084	0.8055	-0.2079	-0.2160	0.4078	0.4046	147.65	148.29	158.17	158.32	95.19	96.09	0.2282
54	0.7010	0.6964	-0.2634	-0.2753	0.5034	0.4982	322.64	325.61	360.22	361.01	266.31	269.50	0.2316

Layer	S(g,b)	S(g,b)	S(g,r)	S(g,r)	S(b,r)	S(b,r)	\|g\|	\|g*\|	\|b\|	\|b*\|	\|r\|	\|r*\|	Silh
1	0.9786	0.9783	-0.0811	-0.0854	0.1256	0.1228	2.33	2.33	2.34	2.34	0.48	0.49	0.3564
2	0.9508	0.9502	-0.1176	-0.1185	0.1960	0.1969	2.93	2.93	2.97	2.97	0.93	0.93	0.3073
3	0.9292	0.9285	-0.1005	-0.1050	0.2743	0.2718	4.24	4.24	4.39	4.38	1.63	1.64	0.2938
4	0.9143	0.9135	-0.2139	-0.2204	0.2002	0.1955	5.25	5.26	5.23	5.23	2.17	2.18	0.3125
5	0.8948	0.8940	-0.2766	-0.2835	0.1816	0.1763	6.34	6.37	6.20	6.20	2.88	2.90	0.3032
6	0.8916	0.8907	-0.2990	-0.3050	0.1655	0.1613	7.91	7.94	7.65	7.66	3.63	3.66	0.3181
7	0.8770	0.8762	-0.4155	-0.4186	0.0728	0.0709	9.00	9.03	8.21	8.22	4.34	4.36	0.3133
8	0.8494	0.8491	-0.3770	-0.3777	0.1686	0.1684	10.03	10.05	9.43	9.44	5.37	5.39	0.2767
9	0.8483	0.8477	-0.3680	-0.3715	0.1802	0.1776	11.25	11.30	10.64	10.66	6.06	6.09	0.2998
10	0.8142	0.8136	-0.3686	-0.3723	0.2395	0.2367	12.23	12.27	11.71	11.72	7.31	7.35	0.2985
11	0.8228	0.8216	-0.4026	-0.4084	0.1890	0.1849	14.43	14.51	13.45	13.48	8.35	8.42	0.2977
12	0.8149	0.8134	-0.4019	-0.4068	0.2033	0.2005	14.81	14.89	13.85	13.88	8.77	8.84	0.2729
13	0.8040	0.8015	-0.3601	-0.3665	0.2652	0.2626	16.70	16.80	16.16	16.20	10.30	10.41	0.2955
14	0.7814	0.7779	-0.3187	-0.3239	0.3425	0.3425	17.27	17.36	17.42	17.49	11.47	11.61	0.3008
15	0.8128	0.8099	-0.3516	-0.3577	0.2595	0.2581	19.56	19.70	18.96	19.04	11.80	11.96	0.2985
16	0.7878	0.7841	-0.3271	-0.3344	0.3244	0.3228	18.76	18.89	18.74	18.81	12.22	12.39	0.2832
17	0.8026	0.7989	-0.2973	-0.3049	0.3310	0.3293	21.54	21.69	21.79	21.88	13.62	13.81	0.2980
18	0.7913	0.7878	-0.2576	-0.2678	0.3870	0.3824	22.71	22.91	23.80	23.89	15.06	15.27	0.2953
19	0.7847	0.7816	-0.2918	-0.3043	0.3639	0.3564	27.98	28.27	28.74	28.82	18.62	18.87	0.3133
20	0.7213	0.7175	-0.2654	-0.2808	0.4763	0.4670	27.53	27.87	30.18	30.25	21.68	21.95	0.3080
21	0.6950	0.6913	-0.2562	-0.2709	0.5170	0.5083	29.89	30.28	33.76	33.84	25.11	25.40	0.3152
22	0.7220	0.7183	-0.2263	-0.2423	0.5105	0.5010	34.11	34.55	38.64	38.73	27.44	27.77	0.3071
23	0.6835	0.6796	-0.2598	-0.2764	0.5273	0.5172	37.24	37.78	42.32	42.42	31.99	32.38	0.3250
24	0.6913	0.6878	-0.2539	-0.2715	0.5234	0.5118	42.12	42.78	47.81	47.93	35.72	36.15	0.3282
25	0.7087	0.7050	-0.2094	-0.2281	0.5415	0.5297	45.85	46.54	53.33	53.42	38.48	38.92	0.3151
26	0.6470	0.6426	-0.2716	-0.2890	0.5581	0.5478	47.05	47.78	54.57	54.68	43.24	43.76	0.3311
27	0.6535	0.6492	-0.2735	-0.2912	0.5493	0.5386	49.86	50.65	57.40	57.51	45.17	45.73	0.3217
28	0.6501	0.6461	-0.2768	-0.2940	0.5502	0.5397	52.09	52.91	59.94	60.07	47.40	47.97	0.3199
29	0.6505	0.6465	-0.2771	-0.2943	0.5495	0.5389	52.11	52.94	59.93	60.06	47.37	47.94	0.3186
30	0.6499	0.6459	-0.2784	-0.2955	0.5490	0.5385	52.21	53.03	59.99	60.12	47.48	48.05	0.3182
31	0.5993	0.5949	-0.3471	-0.3638	0.5428	0.5323	54.55	55.47	60.92	61.04	52.00	52.67	0.3251
32	0.5979	0.5935	-0.3474	-0.3641	0.5440	0.5335	54.56	55.48	60.97	61.10	52.12	52.80	0.3252
33	0.5967	0.5923	-0.3475	-0.3642	0.5451	0.5346	54.57	55.49	61.03	61.16	52.23	52.91	0.3254
34	0.6075	0.6031	-0.3581	-0.3749	0.5241	0.5134	59.21	60.20	64.91	65.03	55.22	55.95	0.3203
35	0.6056	0.6013	-0.3592	-0.3758	0.5251	0.5146	59.21	60.19	64.94	65.06	55.37	56.09	0.3180
36	0.6050	0.6007	-0.3593	-0.3757	0.5257	0.5152	59.25	60.22	65.00	65.12	55.46	56.18	0.3154
37	0.6283	0.6244	-0.3416	-0.3580	0.5165	0.5058	62.41	63.40	68.50	68.62	56.70	57.40	0.3050
38	0.6279	0.6240	-0.3412	-0.3576	0.5173	0.5066	62.43	63.41	68.57	68.69	56.78	57.48	0.3046
39	0.6272	0.6233	-0.3421	-0.3584	0.5173	0.5067	62.46	63.45	68.59	68.71	56.85	57.55	0.3040
40	0.6350	0.6312	-0.3256	-0.3421	0.5236	0.5129	66.88	67.93	74.23	74.36	60.65	61.38	0.3011
41	0.6350	0.6313	-0.3242	-0.3405	0.5249	0.5142	66.91	67.95	74.36	74.49	60.72	61.45	0.3004
42	0.6339	0.6302	-0.3245	-0.3408	0.5258	0.5152	66.92	67.96	74.41	74.55	60.84	61.57	0.2998
43	0.6049	0.6014	-0.3376	-0.3513	0.5453	0.5368	68.75	69.71	77.21	77.35	65.32	66.01	0.3051
44	0.6052	0.6018	-0.3352	-0.3487	0.5472	0.5387	68.80	69.74	77.44	77.58	65.43	66.11	0.3030
45	0.6044	0.6010	-0.3352	-0.3487	0.5480	0.5396	68.79	69.73	77.48	77.63	65.52	66.20	0.3008
46	0.6029	0.5994	-0.3309	-0.3459	0.5534	0.5437	72.43	73.54	82.06	82.21	69.38	70.14	0.2912
47	0.6024	0.5989	-0.3319	-0.3469	0.5530	0.5434	72.50	73.61	82.08	82.23	69.46	70.22	0.2911
48	0.6013	0.5978	-0.3328	-0.3478	0.5534	0.5438	72.56	73.67	82.15	82.30	69.61	70.37	0.2911
49	0.6488	0.6455	-0.2932	-0.3080	0.5373	0.5278	80.25	81.34	90.97	91.11	72.41	73.15	0.2742
50	0.6758	0.6725	-0.2988	-0.3122	0.5015	0.4931	89.30	90.33	98.50	98.64	76.08	76.84	0.2699
51	0.6754	0.6717	-0.2612	-0.2750	0.5354	0.5275	93.56	94.64	106.93	107.10	81.69	82.53	0.2589
52	0.7099	0.7058	-0.2135	-0.2287	0.5366	0.5282	104.26	105.42	120.70	120.86	87.02	87.95	0.2489
53	0.8083	0.8054	-0.2080	-0.2160	0.4077	0.4047	147.65	148.29	158.16	158.33	95.19	96.12	0.2387
54	0.7010	0.6963	-0.2616	-0.2737	0.5049	0.4998	322.64	325.61	360.78	361.57	266.58	269.83	0.2431

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