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ollama run goekdenizguelmez/j.o.s.i.e.v3-beta111<|im_start|>system
2You are JOSIE, a private and super-intelligent AI assistant, created by Gökdeniz Gülmez.<|im_end|>
3<|im_start|>user
4{{ .Prompt }}<|im_end|>
5<|im_start|>assistant
6{{ .Response }}<|im_end|>1slices:
2 - sources:
3 - model: cognitivecomputations/dolphin-2.8-experiment26-7b
4 layer_range: [0, 32]
5 - model: argilla/CapybaraHermes-2.5-Mistral-7B
6 layer_range: [0, 32]
7merge_method: slerp
8base_model: argilla/CapybaraHermes-2.5-Mistral-7B
9parameters:
10 t:
11 - filter: self_attn
12 value: [0, 0.5, 0.3, 0.7, 1]
13 - filter: mlp
14 value: [1, 0.5, 0.7, 0.3, 0]
15 - value: 0.5
16dtype: bfloat161{
2 "all": {
3 "acc": 0.6403971587643947,
4 "acc_stderr": 0.03228725576276735,
5 "acc_norm": 0.6413927640714372,
6 "acc_norm_stderr": 0.03294011331780708,
7 "mc1": 0.39167686658506734,
8 "mc1_stderr": 0.017087795881769622,
9 "mc2": 0.5576866593959974,
10 "mc2_stderr": 0.01554622060467735
11 },
12 "harness|arc:challenge|25": {
13 "acc": 0.6186006825938567,
14 "acc_stderr": 0.014194389086685244,
15 "acc_norm": 0.6450511945392492,
16 "acc_norm_stderr": 0.013983036904094087
17 },
18 "harness|hellaswag|10": {
19 "acc": 0.6738697470623382,
20 "acc_stderr": 0.004678375103797962,
21 "acc_norm": 0.8499302927703645,
22 "acc_norm_stderr": 0.003564098420387764
23 },
24 "harness|hendrycksTest-abstract_algebra|5": {
25 "acc": 0.28,
26 "acc_stderr": 0.04512608598542128,
27 "acc_norm": 0.28,
28 "acc_norm_stderr": 0.04512608598542128
29 },
30 "harness|hendrycksTest-anatomy|5": {
31 "acc": 0.5777777777777777,
32 "acc_stderr": 0.04266763404099582,
33 "acc_norm": 0.5777777777777777,
34 "acc_norm_stderr": 0.04266763404099582
35 },
36 "harness|hendrycksTest-astronomy|5": {
37 "acc": 0.6907894736842105,
38 "acc_stderr": 0.037610708698674805,
39 "acc_norm": 0.6907894736842105,
40 "acc_norm_stderr": 0.037610708698674805
41 },
42 "harness|hendrycksTest-business_ethics|5": {
43 "acc": 0.63,
44 "acc_stderr": 0.04852365870939099,
45 "acc_norm": 0.63,
46 "acc_norm_stderr": 0.04852365870939099
47 },
48 "harness|hendrycksTest-clinical_knowledge|5": {
49 "acc": 0.6830188679245283,
50 "acc_stderr": 0.02863723563980089,
51 "acc_norm": 0.6830188679245283,
52 "acc_norm_stderr": 0.02863723563980089
53 },
54 "harness|hendrycksTest-college_biology|5": {
55 "acc": 0.7708333333333334,
56 "acc_stderr": 0.03514697467862388,
57 "acc_norm": 0.7708333333333334,
58 "acc_norm_stderr": 0.03514697467862388
59 },
60 "harness|hendrycksTest-college_chemistry|5": {
61 "acc": 0.48,
62 "acc_stderr": 0.050211673156867795,
63 "acc_norm": 0.48,
64 "acc_norm_stderr": 0.050211673156867795
65 },
66 "harness|hendrycksTest-college_computer_science|5": {
67 "acc": 0.51,
68 "acc_stderr": 0.05024183937956912,
69 "acc_norm": 0.51,
70 "acc_norm_stderr": 0.05024183937956912
71 },
72 "harness|hendrycksTest-college_mathematics|5": {
73 "acc": 0.38,
74 "acc_stderr": 0.04878317312145634,
75 "acc_norm": 0.38,
76 "acc_norm_stderr": 0.04878317312145634
77 },
78 "harness|hendrycksTest-college_medicine|5": {
79 "acc": 0.6358381502890174,
80 "acc_stderr": 0.03669072477416907,
81 "acc_norm": 0.6358381502890174,
82 "acc_norm_stderr": 0.03669072477416907
83 },
84 "harness|hendrycksTest-college_physics|5": {
85 "acc": 0.4019607843137255,
86 "acc_stderr": 0.048786087144669955,
87 "acc_norm": 0.4019607843137255,
88 "acc_norm_stderr": 0.048786087144669955
89 },
90 "harness|hendrycksTest-computer_security|5": {
91 "acc": 0.74,
92 "acc_stderr": 0.0440844002276808,
93 "acc_norm": 0.74,
94 "acc_norm_stderr": 0.0440844002276808
95 },
96 "harness|hendrycksTest-conceptual_physics|5": {
97 "acc": 0.548936170212766,
98 "acc_stderr": 0.032529096196131965,
99 "acc_norm": 0.548936170212766,
100 "acc_norm_stderr": 0.032529096196131965
101 },
102 "harness|hendrycksTest-econometrics|5": {
103 "acc": 0.4649122807017544,
104 "acc_stderr": 0.046920083813689104,
105 "acc_norm": 0.4649122807017544,
106 "acc_norm_stderr": 0.046920083813689104
107 },
108 "harness|hendrycksTest-electrical_engineering|5": {
109 "acc": 0.5172413793103449,
110 "acc_stderr": 0.04164188720169375,
111 "acc_norm": 0.5172413793103449,
112 "acc_norm_stderr": 0.04164188720169375
113 },
114 "harness|hendrycksTest-elementary_mathematics|5": {
115 "acc": 0.41534391534391535,
116 "acc_stderr": 0.025379524910778398,
117 "acc_norm": 0.41534391534391535,
118 "acc_norm_stderr": 0.025379524910778398
119 },
120 "harness|hendrycksTest-formal_logic|5": {
121 "acc": 0.4444444444444444,
122 "acc_stderr": 0.044444444444444495,
123 "acc_norm": 0.4444444444444444,
124 "acc_norm_stderr": 0.044444444444444495
125 },
126 "harness|hendrycksTest-global_facts|5": {
127 "acc": 0.33,
128 "acc_stderr": 0.047258156262526045,
129 "acc_norm": 0.33,
130 "acc_norm_stderr": 0.047258156262526045
131 },
132 "harness|hendrycksTest-high_school_biology|5": {
133 "acc": 0.7741935483870968,
134 "acc_stderr": 0.023785577884181012,
135 "acc_norm": 0.7741935483870968,
136 "acc_norm_stderr": 0.023785577884181012
137 },
138 "harness|hendrycksTest-high_school_chemistry|5": {
139 "acc": 0.4729064039408867,
140 "acc_stderr": 0.03512819077876106,
141 "acc_norm": 0.4729064039408867,
142 "acc_norm_stderr": 0.03512819077876106
143 },
144 "harness|hendrycksTest-high_school_computer_science|5": {
145 "acc": 0.68,
146 "acc_stderr": 0.04688261722621505,
147 "acc_norm": 0.68,
148 "acc_norm_stderr": 0.04688261722621505
149 },
150 "harness|hendrycksTest-high_school_european_history|5": {
151 "acc": 0.793939393939394,
152 "acc_stderr": 0.0315841532404771,
153 "acc_norm": 0.793939393939394,
154 "acc_norm_stderr": 0.0315841532404771
155 },
156 "harness|hendrycksTest-high_school_geography|5": {
157 "acc": 0.8181818181818182,
158 "acc_stderr": 0.027479603010538804,
159 "acc_norm": 0.8181818181818182,
160 "acc_norm_stderr": 0.027479603010538804
161 },
162 "harness|hendrycksTest-high_school_government_and_politics|5": {
163 "acc": 0.9067357512953368,
164 "acc_stderr": 0.02098685459328972,
165 "acc_norm": 0.9067357512953368,
166 "acc_norm_stderr": 0.02098685459328972
167 },
168 "harness|hendrycksTest-high_school_macroeconomics|5": {
169 "acc": 0.658974358974359,
170 "acc_stderr": 0.024035489676335082,
171 "acc_norm": 0.658974358974359,
172 "acc_norm_stderr": 0.024035489676335082
173 },
174 "harness|hendrycksTest-high_school_mathematics|5": {
175 "acc": 0.32592592592592595,
176 "acc_stderr": 0.028578348365473072,
177 "acc_norm": 0.32592592592592595,
178 "acc_norm_stderr": 0.028578348365473072
179 },
180 "harness|hendrycksTest-high_school_microeconomics|5": {
181 "acc": 0.680672268907563,
182 "acc_stderr": 0.030283995525884396,
183 "acc_norm": 0.680672268907563,
184 "acc_norm_stderr": 0.030283995525884396
185 },
186 "harness|hendrycksTest-high_school_physics|5": {
187 "acc": 0.3576158940397351,
188 "acc_stderr": 0.03913453431177258,
189 "acc_norm": 0.3576158940397351,
190 "acc_norm_stderr": 0.03913453431177258
191 },
192 "harness|hendrycksTest-high_school_psychology|5": {
193 "acc": 0.8348623853211009,
194 "acc_stderr": 0.015919557829976037,
195 "acc_norm": 0.8348623853211009,
196 "acc_norm_stderr": 0.015919557829976037
197 },
198 "harness|hendrycksTest-high_school_statistics|5": {
199 "acc": 0.5138888888888888,
200 "acc_stderr": 0.03408655867977749,
201 "acc_norm": 0.5138888888888888,
202 "acc_norm_stderr": 0.03408655867977749
203 },
204 "harness|hendrycksTest-high_school_us_history|5": {
205 "acc": 0.7892156862745098,
206 "acc_stderr": 0.028626547912437413,
207 "acc_norm": 0.7892156862745098,
208 "acc_norm_stderr": 0.028626547912437413
209 },
210 "harness|hendrycksTest-high_school_world_history|5": {
211 "acc": 0.8143459915611815,
212 "acc_stderr": 0.02531049537694486,
213 "acc_norm": 0.8143459915611815,
214 "acc_norm_stderr": 0.02531049537694486
215 },
216 "harness|hendrycksTest-human_aging|5": {
217 "acc": 0.6995515695067265,
218 "acc_stderr": 0.030769352008229146,
219 "acc_norm": 0.6995515695067265,
220 "acc_norm_stderr": 0.030769352008229146
221 },
222 "harness|hendrycksTest-human_sexuality|5": {
223 "acc": 0.7938931297709924,
224 "acc_stderr": 0.03547771004159465,
225 "acc_norm": 0.7938931297709924,
226 "acc_norm_stderr": 0.03547771004159465
227 },
228 "harness|hendrycksTest-international_law|5": {
229 "acc": 0.768595041322314,
230 "acc_stderr": 0.03849856098794088,
231 "acc_norm": 0.768595041322314,
232 "acc_norm_stderr": 0.03849856098794088
233 },
234 "harness|hendrycksTest-jurisprudence|5": {
235 "acc": 0.7870370370370371,
236 "acc_stderr": 0.0395783547198098,
237 "acc_norm": 0.7870370370370371,
238 "acc_norm_stderr": 0.0395783547198098
239 },
240 "harness|hendrycksTest-logical_fallacies|5": {
241 "acc": 0.7668711656441718,
242 "acc_stderr": 0.0332201579577674,
243 "acc_norm": 0.7668711656441718,
244 "acc_norm_stderr": 0.0332201579577674
245 },
246 "harness|hendrycksTest-machine_learning|5": {
247 "acc": 0.5178571428571429,
248 "acc_stderr": 0.047427623612430116,
249 "acc_norm": 0.5178571428571429,
250 "acc_norm_stderr": 0.047427623612430116
251 },
252 "harness|hendrycksTest-management|5": {
253 "acc": 0.7864077669902912,
254 "acc_stderr": 0.040580420156460344,
255 "acc_norm": 0.7864077669902912,
256 "acc_norm_stderr": 0.040580420156460344
257 },
258 "harness|hendrycksTest-marketing|5": {
259 "acc": 0.8675213675213675,
260 "acc_stderr": 0.022209309073165616,
261 "acc_norm": 0.8675213675213675,
262 "acc_norm_stderr": 0.022209309073165616
263 },
264 "harness|hendrycksTest-medical_genetics|5": {
265 "acc": 0.69,
266 "acc_stderr": 0.04648231987117316,
267 "acc_norm": 0.69,
268 "acc_norm_stderr": 0.04648231987117316
269 },
270 "harness|hendrycksTest-miscellaneous|5": {
271 "acc": 0.8007662835249042,
272 "acc_stderr": 0.014283378044296418,
273 "acc_norm": 0.8007662835249042,
274 "acc_norm_stderr": 0.014283378044296418
275 },
276 "harness|hendrycksTest-moral_disputes|5": {
277 "acc": 0.7225433526011561,
278 "acc_stderr": 0.024105712607754307,
279 "acc_norm": 0.7225433526011561,
280 "acc_norm_stderr": 0.024105712607754307
281 },
282 "harness|hendrycksTest-moral_scenarios|5": {
283 "acc": 0.30726256983240224,
284 "acc_stderr": 0.01543015884646961,
285 "acc_norm": 0.30726256983240224,
286 "acc_norm_stderr": 0.01543015884646961
287 },
288 "harness|hendrycksTest-nutrition|5": {
289 "acc": 0.7320261437908496,
290 "acc_stderr": 0.025360603796242557,
291 "acc_norm": 0.7320261437908496,
292 "acc_norm_stderr": 0.025360603796242557
293 },
294 "harness|hendrycksTest-philosophy|5": {
295 "acc": 0.7138263665594855,
296 "acc_stderr": 0.025670259242188933,
297 "acc_norm": 0.7138263665594855,
298 "acc_norm_stderr": 0.025670259242188933
299 },
300 "harness|hendrycksTest-prehistory|5": {
301 "acc": 0.7283950617283951,
302 "acc_stderr": 0.024748624490537368,
303 "acc_norm": 0.7283950617283951,
304 "acc_norm_stderr": 0.024748624490537368
305 },
306 "harness|hendrycksTest-professional_accounting|5": {
307 "acc": 0.48936170212765956,
308 "acc_stderr": 0.029820747191422473,
309 "acc_norm": 0.48936170212765956,
310 "acc_norm_stderr": 0.029820747191422473
311 },
312 "harness|hendrycksTest-professional_law|5": {
313 "acc": 0.4706649282920469,
314 "acc_stderr": 0.01274823839736555,
315 "acc_norm": 0.4706649282920469,
316 "acc_norm_stderr": 0.01274823839736555
317 },
318 "harness|hendrycksTest-professional_medicine|5": {
319 "acc": 0.6764705882352942,
320 "acc_stderr": 0.028418208619406762,
321 "acc_norm": 0.6764705882352942,
322 "acc_norm_stderr": 0.028418208619406762
323 },
324 "harness|hendrycksTest-professional_psychology|5": {
325 "acc": 0.6764705882352942,
326 "acc_stderr": 0.018926082916083376,
327 "acc_norm": 0.6764705882352942,
328 "acc_norm_stderr": 0.018926082916083376
329 },
330 "harness|hendrycksTest-public_relations|5": {
331 "acc": 0.6636363636363637,
332 "acc_stderr": 0.04525393596302506,
333 "acc_norm": 0.6636363636363637,
334 "acc_norm_stderr": 0.04525393596302506
335 },
336 "harness|hendrycksTest-security_studies|5": {
337 "acc": 0.7387755102040816,
338 "acc_stderr": 0.02812342933514278,
339 "acc_norm": 0.7387755102040816,
340 "acc_norm_stderr": 0.02812342933514278
341 },
342 "harness|hendrycksTest-sociology|5": {
343 "acc": 0.835820895522388,
344 "acc_stderr": 0.02619392354445412,
345 "acc_norm": 0.835820895522388,
346 "acc_norm_stderr": 0.02619392354445412
347 },
348 "harness|hendrycksTest-us_foreign_policy|5": {
349 "acc": 0.83,
350 "acc_stderr": 0.0377525168068637,
351 "acc_norm": 0.83,
352 "acc_norm_stderr": 0.0377525168068637
353 },
354 "harness|hendrycksTest-virology|5": {
355 "acc": 0.5421686746987951,
356 "acc_stderr": 0.0387862677100236,
357 "acc_norm": 0.5421686746987951,
358 "acc_norm_stderr": 0.0387862677100236
359 },
360 "harness|hendrycksTest-world_religions|5": {
361 "acc": 0.8187134502923976,
362 "acc_stderr": 0.029547741687640038,
363 "acc_norm": 0.8187134502923976,
364 "acc_norm_stderr": 0.029547741687640038
365 },
366 "harness|truthfulqa:mc|0": {
367 "mc1": 0.39167686658506734,
368 "mc1_stderr": 0.017087795881769622,
369 "mc2": 0.5576866593959974,
370 "mc2_stderr": 0.01554622060467735
371 },
372 "harness|winogrande|5": {
373 "acc": 0.7884767166535123,
374 "acc_stderr": 0.011477747684223188
375 },
376 "harness|gsm8k|5": {
377 "acc": 0.6360879454131918,
378 "acc_stderr": 0.013252539227966195
379 }
380}1!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "Isaak-Carter/J.O.S.I.E.3-Beta11-7B-slerp"
8messages = [{"role": "user", "content": "What is a large language model?"}]
9
10tokenizer = AutoTokenizer.from_pretrained(model)
11prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
12pipeline = transformers.pipeline(
13 "text-generation",
14 model=model,
15 torch_dtype=torch.float16,
16 device_map="auto",
17)
18
19outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
20print(outputs[0]["generated_text"])