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1
+ ---
2
+ base_model:
3
+ - nbeerbower/Llama-3.1-Nemotron-lorablated-70B
4
+ - SicariusSicariiStuff/Negative_LLAMA_70B
5
+ - TheDrummer/Anubis-70B-v1
6
+ - EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
7
+ - deepseek-ai/DeepSeek-R1-Distill-Llama-70B
8
+ - Sao10K/L3.3-70B-Euryale-v2.3
9
+ library_name: transformers
10
+ license: other
11
+ license_name: eva-llama3.3
12
+ tags:
13
+ - mergekit
14
+ - merge
15
+ model-index:
16
+ - name: L3.3-Nevoria-R1-70b
17
+ results:
18
+ - task:
19
+ type: text-generation
20
+ name: Text Generation
21
+ dataset:
22
+ name: IFEval (0-Shot)
23
+ type: wis-k/instruction-following-eval
24
+ split: train
25
+ args:
26
+ num_few_shot: 0
27
+ metrics:
28
+ - type: inst_level_strict_acc and prompt_level_strict_acc
29
+ value: 60.24
30
+ name: averaged accuracy
31
+ source:
32
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Steelskull%2FL3.3-Nevoria-R1-70b
33
+ name: Open LLM Leaderboard
34
+ - task:
35
+ type: text-generation
36
+ name: Text Generation
37
+ dataset:
38
+ name: BBH (3-Shot)
39
+ type: SaylorTwift/bbh
40
+ split: test
41
+ args:
42
+ num_few_shot: 3
43
+ metrics:
44
+ - type: acc_norm
45
+ value: 56.17
46
+ name: normalized accuracy
47
+ source:
48
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Steelskull%2FL3.3-Nevoria-R1-70b
49
+ name: Open LLM Leaderboard
50
+ - task:
51
+ type: text-generation
52
+ name: Text Generation
53
+ dataset:
54
+ name: MATH Lvl 5 (4-Shot)
55
+ type: lighteval/MATH-Hard
56
+ split: test
57
+ args:
58
+ num_few_shot: 4
59
+ metrics:
60
+ - type: exact_match
61
+ value: 46.68
62
+ name: exact match
63
+ source:
64
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Steelskull%2FL3.3-Nevoria-R1-70b
65
+ name: Open LLM Leaderboard
66
+ - task:
67
+ type: text-generation
68
+ name: Text Generation
69
+ dataset:
70
+ name: GPQA (0-shot)
71
+ type: Idavidrein/gpqa
72
+ split: train
73
+ args:
74
+ num_few_shot: 0
75
+ metrics:
76
+ - type: acc_norm
77
+ value: 29.19
78
+ name: acc_norm
79
+ source:
80
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Steelskull%2FL3.3-Nevoria-R1-70b
81
+ name: Open LLM Leaderboard
82
+ - task:
83
+ type: text-generation
84
+ name: Text Generation
85
+ dataset:
86
+ name: MuSR (0-shot)
87
+ type: TAUR-Lab/MuSR
88
+ args:
89
+ num_few_shot: 0
90
+ metrics:
91
+ - type: acc_norm
92
+ value: 20.19
93
+ name: acc_norm
94
+ source:
95
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Steelskull%2FL3.3-Nevoria-R1-70b
96
+ name: Open LLM Leaderboard
97
+ - task:
98
+ type: text-generation
99
+ name: Text Generation
100
+ dataset:
101
+ name: MMLU-PRO (5-shot)
102
+ type: TIGER-Lab/MMLU-Pro
103
+ config: main
104
+ split: test
105
+ args:
106
+ num_few_shot: 5
107
+ metrics:
108
+ - type: acc
109
+ value: 49.59
110
+ name: accuracy
111
+ source:
112
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Steelskull%2FL3.3-Nevoria-R1-70b
113
+ name: Open LLM Leaderboard
114
+ ---
115
+ <!DOCTYPE html>
116
+
117
+
118
+ <!DOCTYPE html>
119
+ <style>
120
+ ebody {
121
+ font-family: 'Quicksand', sans-serif;
122
+ background: linear-gradient(135deg, #FF69B4 0%, #800080 100%);
123
+ color: #FFFFFF;
124
+ margin: 0;
125
+ padding: 0;
126
+ font-size: 16px;
127
+ min-height: 100vh;
128
+ }
129
+
130
+ .container {
131
+ margin: 20px;
132
+ background-color: rgba(28, 14, 36, 0.95);
133
+ padding: 20px;
134
+ border-radius: 12px;
135
+ box-shadow: 0 4px 20px rgba(255, 105, 180, 0.4);
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+ border: 1px solid rgba(255, 105, 180, 0.4);
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+ outline: 1px solid rgba(255, 105, 180, 0.7);
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+ outline-offset: -1px;
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+ position: relative;
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+ backdrop-filter: blur(10px);
141
+ }
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+
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+ .container::before {
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+ content: '';
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+ position: absolute;
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+ top: -1px;
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+ left: -1px;
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+ right: -1px;
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+ bottom: -1px;
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+ border: 1px solid rgba(255, 105, 180, 0.98);
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+ border-radius: 12px;
152
+ pointer-events: none;
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+ animation: borderGlow 2s ease-in-out infinite;
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+ }
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+
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+ @keyframes borderGlow {
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+ 0% {
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+ box-shadow: 0 0 5px rgba(255, 105, 180, 0.98);
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+ }
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+ 50% {
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+ box-shadow: 0 0 20px rgba(255, 105, 180, 0.98);
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+ }
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+ 100% {
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+ box-shadow: 0 0 5px rgba(255, 105, 180, 0.98);
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+ }
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+ }
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+
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+ .header h1 {
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+ font-size: 28px;
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+ color: #FF69B4;
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+ margin: 0 0 20px 0;
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+ text-shadow: 0 0 15px rgba(255, 105, 180, 0.8);
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+ letter-spacing: 1px;
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+ }
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+
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+ .update-section {
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+ margin-top: 30px;
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+ }
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+
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+ .update-section h2, h2 {
181
+ font-size: 24px;
182
+ color: #FF69B4;
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+ text-shadow: 0 0 15px rgba(255, 105, 180, 0.8);
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+ letter-spacing: 0.5px;
185
+ }
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+
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+ .update-section p {
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+ font-size: 16px;
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+ line-height: 1.6;
190
+ color: #FFE1FF;
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+ }
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+
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+ .info p {
194
+ color: #FFE1FF;
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+ line-height: 1.6;
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+ font-size: 16px;
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+ }
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+
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+ .info img {
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+ width: 100%;
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+ border-radius: 10px;
202
+ margin-bottom: 15px;
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+ box-shadow: 0 0 30px rgba(255, 105, 180, 0.5);
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+ border: 1px solid rgba(255, 105, 180, 0.4);
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+ outline: 1px solid rgba(255, 105, 180, 0.7);
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+ outline-offset: -1px;
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+ transition: transform 0.3s ease, box-shadow 0.3s ease;
208
+ }
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+
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+ .info img:hover {
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+ transform: scale(1.01);
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+ box-shadow: 0 0 40px rgba(255, 105, 180, 0.6);
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+ }
214
+
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+ a {
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+ color: #00FFEE;
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+ text-decoration: none;
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+ transition: color 0.3s ease;
219
+ }
220
+
221
+ a:hover {
222
+ color: #FF1493;
223
+ }
224
+
225
+ .button {
226
+ display: inline-block;
227
+ background: linear-gradient(45deg, rgba(255, 105, 180, 0.9), rgba(128, 0, 128, 0.9));
228
+ color: #FFFFFF;
229
+ padding: 12px 24px;
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+ border-radius: 5px;
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+ cursor: pointer;
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+ text-decoration: none;
233
+ transition: all 0.3s ease;
234
+ border: 1px solid rgba(255, 105, 180, 0.4);
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+ }
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+
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+ .button:hover {
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+ background: linear-gradient(45deg, rgba(255, 105, 180, 1), rgba(128, 0, 128, 1));
239
+ box-shadow: 0 0 20px rgba(255, 105, 180, 0.7);
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+ transform: translateY(-2px);
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+ }
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+
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+ pre {
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+ background-color: rgba(28, 14, 36, 0.95);
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+ padding: 15px;
246
+ border-radius: 5px;
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+ overflow-x: auto;
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+ border: 1px solid rgba(255, 20, 147, 0.3);
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+ outline: 1px solid rgba(255, 20, 147, 0.6);
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+ outline-offset: -1px;
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+ }
252
+
253
+ code {
254
+ font-family: 'Courier New', monospace;
255
+ color: #FFE1FF;
256
+ }
257
+
258
+ .benchmark-container {
259
+ background: rgba(28, 14, 36, 0.95);
260
+ border: 1px solid rgba(255, 20, 147, 0.3);
261
+ border-radius: 12px;
262
+ padding: 20px;
263
+ margin: 20px 0;
264
+ position: relative;
265
+ overflow: hidden;
266
+ }
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+
268
+ .benchmark-container::before {
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+ content: '';
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+ position: absolute;
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+ top: -1px;
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+ left: -1px;
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+ right: -1px;
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+ bottom: -1px;
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+ border: 1px solid rgba(255, 20, 147, 0.98);
276
+ border-radius: 12px;
277
+ pointer-events: none;
278
+ animation: borderGlow 2s ease-in-out infinite;
279
+ }
280
+
281
+ .benchmark-grid {
282
+ display: grid;
283
+ grid-template-columns: repeat(4, 1fr);
284
+ gap: 15px;
285
+ }
286
+
287
+ .metric-box {
288
+ background: rgba(28, 14, 36, 0.95);
289
+ border: 1px solid rgba(255, 20, 147, 0.3);
290
+ border-radius: 8px;
291
+ padding: 15px;
292
+ display: flex;
293
+ flex-direction: column;
294
+ align-items: center;
295
+ text-align: center;
296
+ transition: transform 0.3s ease, box-shadow 0.3s ease;
297
+ }
298
+
299
+ .metric-box:hover {
300
+ transform: translateY(-2px);
301
+ box-shadow: 0 4px 15px rgba(255, 20, 147, 0.3);
302
+ }
303
+
304
+ .metric-box .label {
305
+ color: #00FFEE;
306
+ font-size: 14px;
307
+ margin-bottom: 8px;
308
+ font-weight: 500;
309
+ }
310
+
311
+ .metric-box .value {
312
+ color: #FFE1FF;
313
+ font-size: 18px;
314
+ font-weight: 600;
315
+ text-shadow: 0 0 5px rgba(255, 20, 147, 0.5);
316
+ }
317
+
318
+ .metrics-section {
319
+ margin-bottom: 30px;
320
+ }
321
+
322
+ .metrics-section details {
323
+ background: rgba(28, 14, 36, 0.95);
324
+ border: 1px solid rgba(255, 20, 147, 0.3);
325
+ border-radius: 8px;
326
+ padding: 15px;
327
+ margin-bottom: 15px;
328
+ }
329
+
330
+ .metrics-section summary {
331
+ color: #FF1493;
332
+ font-size: 20px;
333
+ cursor: pointer;
334
+ text-shadow: 0 0 5px rgba(255, 20, 147, 0.3);
335
+ outline: none;
336
+ padding: 5px 0;
337
+ }
338
+
339
+ .metrics-section summary::-webkit-details-marker {
340
+ display: none;
341
+ }
342
+
343
+ .core-metrics-grid {
344
+ display: grid;
345
+ grid-template-columns: repeat(4, 1fr);
346
+ gap: 15px;
347
+ margin-bottom: 20px;
348
+ }
349
+
350
+ .progress-metrics {
351
+ display: grid;
352
+ gap: 15px;
353
+ }
354
+
355
+ .progress-metric {
356
+ background: rgba(28, 14, 36, 0.95);
357
+ border: 1px solid rgba(255, 20, 147, 0.3);
358
+ border-radius: 8px;
359
+ padding: 15px;
360
+ transition: transform 0.3s ease;
361
+ }
362
+
363
+ .progress-metric:hover {
364
+ transform: translateY(-2px);
365
+ }
366
+
367
+ .progress-label {
368
+ display: flex;
369
+ justify-content: space-between;
370
+ margin-bottom: 8px;
371
+ color: #00FFEE;
372
+ font-size: 14px;
373
+ }
374
+
375
+ .progress-value {
376
+ color: #FFE1FF;
377
+ }
378
+
379
+ .progress-bar {
380
+ width: 100%;
381
+ height: 8px;
382
+ background: rgba(0, 0, 0, 0.3);
383
+ border: 1px solid rgba(255, 20, 147, 0.15);
384
+ border-radius: 4px;
385
+ position: relative;
386
+ margin: 10px 0;
387
+ overflow: hidden;
388
+ }
389
+
390
+ .progress-fill {
391
+ height: 100%;
392
+ background: linear-gradient(90deg, #FF69B4 0%, #800080 100%);
393
+ border-radius: 4px;
394
+ transition: width 1s ease-in-out;
395
+ box-shadow: 0 0 15px rgba(255, 105, 180, 0.4);
396
+ }
397
+
398
+ .progress-bar.split {
399
+ display: flex;
400
+ justify-content: center;
401
+ background: rgba(0, 0, 0, 0.3);
402
+ border: 1px solid rgba(255, 20, 147, 0.15);
403
+ overflow: visible;
404
+ }
405
+
406
+ .progress-fill-left {
407
+ height: 100%;
408
+ position: absolute;
409
+ right: 50%;
410
+ background: linear-gradient(90deg, #FF69B4 30%, rgba(255, 105, 180, 0.5) 100%);
411
+ border-radius: 4px 0 0 4px;
412
+ transition: width 0.3s ease-in-out;
413
+ }
414
+
415
+ .progress-fill-right {
416
+ height: 100%;
417
+ position: absolute;
418
+ left: 50%;
419
+ background: linear-gradient(90deg, rgba(128, 0, 128, 0.5) 0%, #800080 70%);
420
+ border-radius: 0 4px 4px 0;
421
+ transition: width 0.3s ease-in-out;
422
+ }
423
+
424
+ .progress-metric.split .progress-bar::before,
425
+ .progress-metric.split .progress-bar::after {
426
+ content: '';
427
+ position: absolute;
428
+ width: 2px;
429
+ height: 20px;
430
+ background: rgba(255, 255, 255, 0.7);
431
+ top: 50%;
432
+ transform: translateY(-50%);
433
+ z-index: 2;
434
+ box-shadow: 0 0 8px rgba(255, 255, 255, 0.5);
435
+ }
436
+
437
+ .progress-metric.split .progress-bar::before {
438
+ left: 0;
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+ }
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+
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+ .progress-metric.split .progress-bar::after {
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+ right: 0;
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+ }
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+
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+ .progress-metric.split:hover .progress-fill-left {
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+ box-shadow: 0 0 15px rgba(255, 20, 147, 0.5);
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+ }
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+
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+ .progress-metric.split:hover .progress-fill-right {
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+ box-shadow: 0 0 15px rgba(75, 0, 130, 0.5);
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+ }
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+
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+ .progress-metric.split {
454
+ padding: 12px 15px;
455
+ }
456
+
457
+ .progress-metric.split .progress-label {
458
+ margin-bottom: 8px;
459
+ gap: 12px;
460
+ }
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+
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+ .progress-metric.split .progress-label span:first-child,
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+ .progress-metric.split .progress-label span:last-child {
464
+ flex: 0 0 80px;
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+ font-size: 14px;
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+ }
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+
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+ .progress-metric.split .progress-value {
469
+ font-weight: 600;
470
+ text-shadow: 0 0 5px rgba(255, 20, 147, 0.3);
471
+ font-size: 14px;
472
+ min-width: 60px;
473
+ text-align: center;
474
+ }
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+
476
+ .progress-metric:hover .progress-fill-center {
477
+ box-shadow: 0 0 15px rgba(255, 20, 147, 0.5);
478
+ }
479
+
480
+ .progress-label {
481
+ display: flex;
482
+ justify-content: space-between;
483
+ align-items: center;
484
+ margin-bottom: 4px;
485
+ color: #00FFEE;
486
+ font-size: 14px;
487
+ }
488
+
489
+ .progress-metric:not(.split) .progress-label {
490
+ gap: 12px;
491
+ }
492
+
493
+ .progress-metric:not(.split) .progress-label span {
494
+ flex: 0 0 auto;
495
+ }
496
+
497
+ .progress-metric:not(.split) .progress-value {
498
+ color: #FFE1FF;
499
+ }
500
+
501
+ .progress-metric.split .progress-label {
502
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935
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937
+ </style>
938
+
939
+ <html lang="en">
940
+ <head>
941
+ <meta charset="UTF-8">
942
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
943
+ <title>L3.3-Nevoria-R1-70b</title>
944
+ <link href="https://fonts.googleapis.com/css2?family=Quicksand:wght@400;500;600&display=swap" rel="stylesheet">
945
+ <link href="styles.css" rel="stylesheet">
946
+ </head>
947
+ <body>
948
+ <div class="container">
949
+ <div class="header">
950
+ <h1>L3.3-Nevoria-R1-70b</h1>
951
+ </div>
952
+ <div class="info">
953
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/_oWpsvCZ-graNKzJBBjGo.jpeg" alt="Model banner">
954
+ <div class="creator-section">
955
+ <div class="creator-badge">
956
+ <span class="creator-label">Created by</span>
957
+ <a href="https://huggingface.co/Steelskull" target="_blank" class="creator-link">
958
+ <span class="creator-name">SteelSkull</span>
959
+ <span class="creator-arrow">→</span>
960
+ </a>
961
+ </div>
962
+ </div>
963
+ <div class="model-info">
964
+ <h2>Model Information</h2>
965
+ <div class="info-card">
966
+ <div class="info-header">
967
+ <h3>L3.3-Nevoria-R1-70b</h3>
968
+ <div class="model-tags">
969
+ <span class="model-tag">L3.3 = Llama 3.3</span>
970
+ <span class="model-tag">R1 = DeepSeek-R1</span>
971
+ <span class="model-tag">70b Parameters</span>
972
+ </div>
973
+ </div>
974
+ <div class="model-composition">
975
+ <h4>Model Composition</h4>
976
+ <ul class="composition-list">
977
+ <li><span class="model-component"><a href="https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1" target="_blank">EVA-LLAMA-0.1</a></span> Storytelling capabilities</li>
978
+ <li><span class="model-component"><a href="https://huggingface.co/Sao10K/L3.3-70B-Euryale-v2.3" target="_blank">EURYALE-v2.3</a></span> Detailed scene descriptions</li>
979
+ <li><span class="model-component"><a href="https://huggingface.co/TheDrummer/Anubis-70B-v1" target="_blank">Anubis-v1</a></span> Enhanced prose details</li>
980
+ <li><span class="model-component"><a href="https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B" target="_blank">Negative_LLAMA</a></span> Reduced positive bias</li>
981
+ <li><span class="model-component"><a href="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B" target="_blank">DeepSeek-R1-Distill-Llama-70B</a></span> Increased Intelligence / Dialog / Awareness</li>
982
+ <li><span class="model-component base-model"><a href="https://huggingface.co/nbeerbower/Llama-3.1-Nemotron-lorablated-70B" target="_blank">Nemotron-lorablated</a></span> Base model</li>
983
+ </ul>
984
+ </div>
985
+ <div class="model-description">
986
+ <p>This model builds upon the original Nevoria foundation, incorporating the Deepseek-R1 reasoning architecture to enhance dialogue interaction and scene comprehension. While maintaining Nevoria's core strengths in storytelling and scene description (derived from EVA, EURYALE, and Anubis), this iteration aims to improve prompt adherence and creative reasoning capabilities. The model also retains the balanced perspective introduced by Negative_LLAMA and Nemotron elements. Also, the model plays the card to almost a fault, It'll pick up on minor issues and attempt to run with them. Users had it call them out for misspelling a word while playing in character. </p>
987
+ <p>Note: While Nevoria-R1 represents a significant architectural change, rather than a direct successor to Nevoria, it operates as a distinct model with its own characteristics.</p>
988
+ <p>The lorablated model base choice was intentional, creating unique weight interactions similar to the original <a href="https://huggingface.co/Steelskull/L3-MS-Astoria-70b" target="_blank">Astoria model</a> and <a href="https://huggingface.co/Steelskull/L3.1-MS-Astoria-70b-v2" target="_blank">Astoria V2 model</a>. This "weight twisting" effect, achieved by subtracting the lorablated base model during merging, creates an interesting balance in the model's behavior. While unconventional compared to sequential component application, this approach was chosen for its unique response characteristics.</p>
989
+ </div>
990
+ </div>
991
+ <!--<div class="metrics-section">
992
+ <details open>
993
+ <summary>User Reviews</summary>
994
+ <div class="progress-metrics">
995
+ <div>
996
+ <div class="review-card">
997
+ <div>
998
+ <span>[USERNAME]</span>
999
+ </div>
1000
+ <p>[REVIEW]</p>
1001
+ </div>
1002
+ <div class="review-card">
1003
+ <div>
1004
+ <span>[USERNAME]</span>
1005
+ </div>
1006
+ <p>[REVIEW]</p>
1007
+ </div>
1008
+ <div class="review-card">
1009
+ <div>
1010
+ <span>[USERNAME]</span>
1011
+ </div>
1012
+ <p>[REVIEW]</p>
1013
+ </div>
1014
+ </div>
1015
+ </div>
1016
+ </details>
1017
+ </div>-->
1018
+ </div>
1019
+ <!-- UGI-Benchmark Results -->
1020
+ <h2>UGI-Benchmark Results:</h2>
1021
+ <div class="benchmark-container">
1022
+ <div class="benchmark-notification">
1023
+ <div class="notification-content">
1024
+ <span class="notification-icon">🏆</span>
1025
+ <span class="notification-text">
1026
+ Latest benchmark results as of 01/23/2025.
1027
+ <a href="https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard" target="_blank" class="benchmark-link">
1028
+ View Full Leaderboard →
1029
+ </a>
1030
+ </span>
1031
+ </div>
1032
+ </div>
1033
+ <div class="metrics-section">
1034
+ <h3>Core Metrics</h3>
1035
+ <div class="core-metrics-grid">
1036
+ <div class="metric-box">
1037
+ <span class="label">UGI Score</span>
1038
+ <span class="value">42.66</span>
1039
+ </div>
1040
+ <div class="metric-box">
1041
+ <span class="label">Willingness Score</span>
1042
+ <span class="value">2.5/10</span>
1043
+ </div>
1044
+ <div class="metric-box">
1045
+ <span class="label">Natural Intelligence</span>
1046
+ <span class="value">40.64</span>
1047
+ </div>
1048
+ <div class="metric-box">
1049
+ <span class="label">Coding Ability</span>
1050
+ <span class="value">22</span>
1051
+ </div>
1052
+ </div>
1053
+ </div>
1054
+ <div class="metrics-section">
1055
+ <h3>Model Information</h3>
1056
+ <div class="info-grid">
1057
+ <div class="metric-box">
1058
+ <span class="label">Political Lean</span>
1059
+ <span class="value">-11.4%</span>
1060
+ </div>
1061
+ <div class="metric-box">
1062
+ <span class="label">Ideology</span>
1063
+ <span class="value">Liberalism</span>
1064
+ </div>
1065
+ <div class="metric-box">
1066
+ <span class="label">Parameters</span>
1067
+ <span class="value">70B</span>
1068
+ </div>
1069
+ </div>
1070
+ </div>
1071
+ <div class="metrics-section">
1072
+ <details>
1073
+ <summary>Aggregated Scores</summary>
1074
+ <div class="progress-metrics">
1075
+ <div class="progress-metric">
1076
+ <div class="progress-label">
1077
+ <span>Diplomacy</span>
1078
+ <span class="progress-value">60.1%</span>
1079
+ </div>
1080
+ <div class="progress-bar">
1081
+ <div class="progress-fill" style="width: 60.1%"></div>
1082
+ </div>
1083
+ </div>
1084
+ <div class="progress-metric">
1085
+ <div class="progress-label">
1086
+ <span>Government</span>
1087
+ <span class="progress-value">47.0%</span>
1088
+ </div>
1089
+ <div class="progress-bar">
1090
+ <div class="progress-fill" style="width: 47.0%"></div>
1091
+ </div>
1092
+ </div>
1093
+ <div class="progress-metric">
1094
+ <div class="progress-label">
1095
+ <span>Economy</span>
1096
+ <span class="progress-value">45.4%</span>
1097
+ </div>
1098
+ <div class="progress-bar">
1099
+ <div class="progress-fill" style="width: 45.4%"></div>
1100
+ </div>
1101
+ </div>
1102
+ <div class="progress-metric">
1103
+ <div class="progress-label">
1104
+ <span>Society</span>
1105
+ <span class="progress-value">62.6%</span>
1106
+ </div>
1107
+ <div class="progress-bar">
1108
+ <div class="progress-fill" style="width: 62.6%"></div>
1109
+ </div>
1110
+ </div>
1111
+ </div>
1112
+ </details>
1113
+ </div>
1114
+ <div class="metrics-section">
1115
+ <details>
1116
+ <summary>Individual Scores</summary>
1117
+ <div class="progress-metrics">
1118
+ <div class="progress-metric split">
1119
+ <div class="progress-label">
1120
+ <span>Federal</span>
1121
+ <span class="progress-value">43.1%</span>
1122
+ <span>Unitary</span>
1123
+ </div>
1124
+ <div class="progress-bar split">
1125
+ <div class="progress-fill-left" style="width: 21.55%"></div>
1126
+ <div class="progress-fill-right" style="width: 28.45%"></div>
1127
+ </div>
1128
+ </div>
1129
+ <div class="progress-metric split">
1130
+ <div class="progress-label">
1131
+ <span>Democratic</span>
1132
+ <span class="progress-value">64.2%</span>
1133
+ <span>Autocratic</span>
1134
+ </div>
1135
+ <div class="progress-bar split">
1136
+ <div class="progress-fill-left" style="width: 32.1%"></div>
1137
+ <div class="progress-fill-right" style="width: 17.9%"></div>
1138
+ </div>
1139
+ </div>
1140
+ <div class="progress-metric split">
1141
+ <div class="progress-label">
1142
+ <span>Security</span>
1143
+ <span class="progress-value">48.3%</span>
1144
+ <span>Freedom</span>
1145
+ </div>
1146
+ <div class="progress-bar split">
1147
+ <div class="progress-fill-left" style="width: 24.15%"></div>
1148
+ <div class="progress-fill-right" style="width: 25.85%"></div>
1149
+ </div>
1150
+ </div>
1151
+ <div class="progress-metric split">
1152
+ <div class="progress-label">
1153
+ <span>Nationalism</span>
1154
+ <span class="progress-value">42.1%</span>
1155
+ <span>Int'l</span>
1156
+ </div>
1157
+ <div class="progress-bar split">
1158
+ <div class="progress-fill-left" style="width: 21.05%"></div>
1159
+ <div class="progress-fill-right" style="width: 28.95%"></div>
1160
+ </div>
1161
+ </div>
1162
+ <div class="progress-metric split">
1163
+ <div class="progress-label">
1164
+ <span>Militarist</span>
1165
+ <span class="progress-value">36.7%</span>
1166
+ <span>Pacifist</span>
1167
+ </div>
1168
+ <div class="progress-bar split">
1169
+ <div class="progress-fill-left" style="width: 18.35%"></div>
1170
+ <div class="progress-fill-right" style="width: 31.65%"></div>
1171
+ </div>
1172
+ </div>
1173
+ <div class="progress-metric split">
1174
+ <div class="progress-label">
1175
+ <span>Assimilationist</span>
1176
+ <span class="progress-value">41.0%</span>
1177
+ <span>Multiculturalist</span>
1178
+ </div>
1179
+ <div class="progress-bar split">
1180
+ <div class="progress-fill-left" style="width: 20.5%"></div>
1181
+ <div class="progress-fill-right" style="width: 29.5%"></div>
1182
+ </div>
1183
+ </div>
1184
+ <div class="progress-metric split">
1185
+ <div class="progress-label">
1186
+ <span>Collectivize</span>
1187
+ <span class="progress-value">47.9%</span>
1188
+ <span>Privatize</span>
1189
+ </div>
1190
+ <div class="progress-bar split">
1191
+ <div class="progress-fill-left" style="width: 23.95%"></div>
1192
+ <div class="progress-fill-right" style="width: 26.05%"></div>
1193
+ </div>
1194
+ </div>
1195
+ <div class="progress-metric split">
1196
+ <div class="progress-label">
1197
+ <span>Planned</span>
1198
+ <span class="progress-value">44.4%</span>
1199
+ <span>LaissezFaire</span>
1200
+ </div>
1201
+ <div class="progress-bar split">
1202
+ <div class="progress-fill-left" style="width: 22.2%"></div>
1203
+ <div class="progress-fill-right" style="width: 27.8%"></div>
1204
+ </div>
1205
+ </div>
1206
+ <div class="progress-metric split">
1207
+ <div class="progress-label">
1208
+ <span>Isolationism</span>
1209
+ <span class="progress-value">43.8%</span>
1210
+ <span>Globalism</span>
1211
+ </div>
1212
+ <div class="progress-bar split">
1213
+ <div class="progress-fill-left" style="width: 21.9%"></div>
1214
+ <div class="progress-fill-right" style="width: 28.1%"></div>
1215
+ </div>
1216
+ </div>
1217
+ <div class="progress-metric split">
1218
+ <div class="progress-label">
1219
+ <span>Irreligious</span>
1220
+ <span class="progress-value">57.9%</span>
1221
+ <span>Religious</span>
1222
+ </div>
1223
+ <div class="progress-bar split">
1224
+ <div class="progress-fill-left" style="width: 28.95%"></div>
1225
+ <div class="progress-fill-right" style="width: 21.05%"></div>
1226
+ </div>
1227
+ </div>
1228
+ <div class="progress-metric split">
1229
+ <div class="progress-label">
1230
+ <span>Progressive</span>
1231
+ <span class="progress-value">62.5%</span>
1232
+ <span>Traditional</span>
1233
+ </div>
1234
+ <div class="progress-bar split">
1235
+ <div class="progress-fill-left" style="width: 31.25%"></div>
1236
+ <div class="progress-fill-right" style="width: 18.75%"></div>
1237
+ </div>
1238
+ </div>
1239
+ <div class="progress-metric split">
1240
+ <div class="progress-label">
1241
+ <span>Acceleration</span>
1242
+ <span class="progress-value">67.3%</span>
1243
+ <span>Bioconservative</span>
1244
+ </div>
1245
+ <div class="progress-bar split">
1246
+ <div class="progress-fill-left" style="width: 33.65%"></div>
1247
+ <div class="progress-fill-right" style="width: 16.35%"></div>
1248
+ </div>
1249
+ </div>
1250
+ </div>
1251
+ </details>
1252
+ </div>
1253
+ </div>
1254
+ <h2>Open LLM-Benchmark Results:</h2>
1255
+ <div class="benchmark-container">
1256
+ <div class="benchmark-notification">
1257
+ <div class="notification-content">
1258
+ <span class="notification-text">
1259
+ Average Score: 43.68%
1260
+ <a href="https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?rankingMode=dynamic" target="_blank" class="benchmark-link">
1261
+ View Full Leaderboard →
1262
+ </a>
1263
+ </span>
1264
+ </div>
1265
+ </div>
1266
+ <div class="progress-metrics">
1267
+ <div class="progress-metric">
1268
+ <div class="progress-label">
1269
+ <span>IFEval</span>
1270
+ <span class="progress-value">60.24%</span>
1271
+ </div>
1272
+ <div class="progress-bar">
1273
+ <div class="progress-fill" style="width: 60.24%"></div>
1274
+ </div>
1275
+ </div>
1276
+ <div class="progress-metric">
1277
+ <div class="progress-label">
1278
+ <span>BBH</span>
1279
+ <span class="progress-value">56.17%</span>
1280
+ </div>
1281
+ <div class="progress-bar">
1282
+ <div class="progress-fill" style="width: 56.17%"></div>
1283
+ </div>
1284
+ </div>
1285
+ <div class="progress-metric">
1286
+ <div class="progress-label">
1287
+ <span>MATH</span>
1288
+ <span class="progress-value">46.68%</span>
1289
+ </div>
1290
+ <div class="progress-bar">
1291
+ <div class="progress-fill" style="width: 46.68%"></div>
1292
+ </div>
1293
+ </div>
1294
+ <div class="progress-metric">
1295
+ <div class="progress-label">
1296
+ <span>GPQA</span>
1297
+ <span class="progress-value">29.19%</span>
1298
+ </div>
1299
+ <div class="progress-bar">
1300
+ <div class="progress-fill" style="width: 29.19%"></div>
1301
+ </div>
1302
+ </div>
1303
+ <div class="progress-metric">
1304
+ <div class="progress-label">
1305
+ <span>MUSR</span>
1306
+ <span class="progress-value">20.19%</span>
1307
+ </div>
1308
+ <div class="progress-bar">
1309
+ <div class="progress-fill" style="width: 20.19%"></div>
1310
+ </div>
1311
+ </div>
1312
+ <div class="progress-metric">
1313
+ <div class="progress-label">
1314
+ <span>MMLU-Pro</span>
1315
+ <span class="progress-value">49.59%</span>
1316
+ </div>
1317
+ <div class="progress-bar">
1318
+ <div class="progress-fill" style="width: 49.59%"></div>
1319
+ </div>
1320
+ </div>
1321
+ </div>
1322
+ </div>
1323
+ <div class="section-container">
1324
+ <h2>Reccomended Templates & Prompts</h2>
1325
+ <div class="template-card">
1326
+ <div class="template-item">
1327
+ <div class="template-content">
1328
+ <a href="https://huggingface.co/Konnect1221/Methception-Llamaception-SillyTavern-Preset" target="_blank" class="template-link">
1329
+ LLam@ception
1330
+ <span class="link-arrow">→</span>
1331
+ </a>
1332
+ <span class="template-author">by @.konnect</span>
1333
+ </div>
1334
+ </div>
1335
+ </div>
1336
+ </div>
1337
+ <div class="section-container">
1338
+ <h2>Quantized Versions</h2>
1339
+ <div class="quantized-container">
1340
+ <div class="quantized-section">
1341
+ <h3>GGUF Quantizations</h3>
1342
+ <div class="quantized-items">
1343
+ <div class="quantized-item">
1344
+ <span class="author">bartowski</span>
1345
+ <a href="https://huggingface.co/bartowski/L3.3-Nevoria-R1-70b-GGUF" target="_blank">
1346
+ Combined-GGUF
1347
+ <span class="link-arrow">→</span>
1348
+ </a>
1349
+ </div>
1350
+ <div class="quantized-item">
1351
+ <span class="author">mradermacher</span>
1352
+ <div class="multi-links">
1353
+ <a href="https://huggingface.co/mradermacher/L3.3-Nevoria-R1-70b-GGUF" target="_blank">
1354
+ GGUF
1355
+ <span class="link-arrow">→</span>
1356
+ </a>
1357
+ <span class="separator">//</span>
1358
+ <a href="https://huggingface.co/mradermacher/L3.3-Nevoria-R1-70b-i1-GGUF" target="_blank">
1359
+ Imat-GGUF
1360
+ <span class="link-arrow">→</span>
1361
+ </a>
1362
+ </div>
1363
+ </div>
1364
+ </div>
1365
+ </div>
1366
+ <div class="quantized-section">
1367
+ <h3>EXL2 Quantizations</h3>
1368
+ <div class="quantized-items">
1369
+ <div class="quantized-item">
1370
+ <span class="author">Darkhn</span>
1371
+ <a href="https://huggingface.co/Darkhn/Steelskull_L3.3-Exp-Nevoria-R1-70b-6.0bpw-h8-exl2" target="_blank">
1372
+ 6.0BPW-EXL2
1373
+ <span class="link-arrow">→</span>
1374
+ </a>
1375
+ </div>
1376
+ <div class="quantized-item">
1377
+ <span class="author">ReadyArt</span>
1378
+ <div class="multi-links">
1379
+ <a href="https://huggingface.co/ReadyArt/L3.3-Nevoria-R1-70b_EXL2_5.0bpw_H8" target="_blank">
1380
+ 5.0BPW-EXL2
1381
+ <span class="link-arrow">→</span>
1382
+ </a>
1383
+ <span class="separator">//</span>
1384
+ <a href="https://huggingface.co/ReadyArt/L3.3-Nevoria-R1-70b_EXL2_4.0bpw_H8" target="_blank">
1385
+ 4.0BPW-EXL2
1386
+ <span class="link-arrow">→</span>
1387
+ </a>
1388
+ <span class="separator">//</span>
1389
+ <a href="https://huggingface.co/ReadyArt/L3.3-Nevoria-R1-70b_EXL2_3.0bpw_H8" target="_blank">
1390
+ 3.0BPW-EXL2
1391
+ <span class="link-arrow">→</span>
1392
+ </a>
1393
+ <span class="separator">//</span>
1394
+ <a href="https://huggingface.co/ReadyArt/L3.3-Nevoria-R1-70b_EXL2_2.0bpw_H8" target="_blank">
1395
+ 2.0BPW-EXL2
1396
+ <span class="link-arrow">→</span>
1397
+ </a>
1398
+ </div>
1399
+ </div>
1400
+ <div class="quantized-item">
1401
+ <span class="author">PedroPareja</span>
1402
+ <a href="https://huggingface.co/PedroPareja/L3.3-Nevoria-R1-70b-4.5bpw-h6-exl2" target="_blank">
1403
+ 4.5BPW-EXL2
1404
+ <span class="link-arrow">→</span>
1405
+ </a>
1406
+ </div>
1407
+ <div class="quantized-item">
1408
+ <span class="author">VoidStare</span>
1409
+ <a href="https://huggingface.co/VoidStare/L3.3-Nevoria-R1-70b-EXL2-6.5bpw-h8" target="_blank">
1410
+ 6.5BPW-EXL2
1411
+ <span class="link-arrow">→</span>
1412
+ </a>
1413
+ </div>
1414
+ </div>
1415
+ </div>
1416
+ </div>
1417
+ </div>
1418
+ <div class="support-section">
1419
+ <h2>Support & Community:</h2>
1420
+ <div class="support-buttons">
1421
+ <a href="https://ko-fi.com/Y8Y0AO2XE" target="_blank" class="button">
1422
+ Support me on Ko-fi
1423
+ </a>
1424
+ <a href="https://discord.gg/4tCngSm3qZ" target="_blank" class="button">
1425
+ BeaverAI Discord
1426
+ </a>
1427
+ </div>
1428
+ </div>
1429
+ </div>
1430
+ </div>
1431
+ </body>
1432
+ </html>
1433
+
config.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "nbeerbower/Llama-3.1-Nemotron-lorablated-70B",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 128000,
9
+ "eos_token_id": [
10
+ 128001,
11
+ 128008,
12
+ 128009
13
+ ],
14
+ "head_dim": 128,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 8192,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 28672,
19
+ "max_position_embeddings": 131072,
20
+ "mlp_bias": false,
21
+ "model_type": "llama",
22
+ "num_attention_heads": 64,
23
+ "num_hidden_layers": 80,
24
+ "num_key_value_heads": 8,
25
+ "pretraining_tp": 1,
26
+ "rms_norm_eps": 1e-05,
27
+ "rope_scaling": {
28
+ "factor": 8.0,
29
+ "high_freq_factor": 4.0,
30
+ "low_freq_factor": 1.0,
31
+ "original_max_position_embeddings": 8192,
32
+ "rope_type": "llama3"
33
+ },
34
+ "rope_theta": 500000.0,
35
+ "tie_word_embeddings": false,
36
+ "torch_dtype": "bfloat16",
37
+ "transformers_version": "4.46.2",
38
+ "use_cache": true,
39
+ "vocab_size": 128256,
40
+ "quantization_config": {
41
+ "quant_method": "exl2",
42
+ "version": "0.2.7",
43
+ "bits": 4.0,
44
+ "head_bits": 6,
45
+ "calibration": {
46
+ "rows": 115,
47
+ "length": 2048,
48
+ "dataset": "(default)"
49
+ }
50
+ }
51
+ }
measurement.json ADDED
The diff for this file is too large to render. See raw diff
 
mergekit_config.yml ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
2
+ merge_method: model_stock
3
+ dtype: bfloat16
4
+ models:
5
+ - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
6
+ - model: Sao10K/L3.3-70B-Euryale-v2.3
7
+ - model: TheDrummer/Anubis-70B-v1
8
+ - model: SicariusSicariiStuff/Negative_LLAMA_70B
9
+ - model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
model.safetensors.index.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"metadata": {"mergekit_version": "0.0.5.1", "total_size": 141107412992}, "weight_map": {"lm_head.weight": "model-00001-of-00030.safetensors", "model.embed_tokens.weight": "model-00001-of-00030.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00030.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00001-of-00030.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00002-of-00030.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00002-of-00030.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00002-of-00030.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00002-of-00030.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00002-of-00030.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00002-of-00030.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00002-of-00030.safetensors", "model.layers.1.input_layernorm.weight": "model-00002-of-00030.safetensors", 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+ "bos_token": "<|begin_of_text|>",
2053
+ "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
2054
+ "clean_up_tokenization_spaces": true,
2055
+ "eos_token": "<|eot_id|>",
2056
+ "model_input_names": [
2057
+ "input_ids",
2058
+ "attention_mask"
2059
+ ],
2060
+ "model_max_length": 131072,
2061
+ "tokenizer_class": "PreTrainedTokenizerFast"
2062
+ }