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--- |
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license: apache-2.0 |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- cognitivecomputations/dolphin-2.8-experiment26-7b |
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- argilla/CapybaraHermes-2.5-Mistral-7B |
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base_model: |
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- cognitivecomputations/dolphin-2.8-experiment26-7b |
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- argilla/CapybaraHermes-2.5-Mistral-7B |
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language: |
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- en |
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- de |
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- es |
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- fr |
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- ja |
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- zh |
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--- |
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# J.O.S.I.E.3-Beta11-7B-slerp |
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J.O.S.I.E.3-Beta11-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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* [cognitivecomputations/dolphin-2.8-experiment26-7b](https://huggingface.co/cognitivecomputations/dolphin-2.8-experiment26-7b) |
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* [argilla/CapybaraHermes-2.5-Mistral-7B](https://huggingface.co/argilla/CapybaraHermes-2.5-Mistral-7B) |
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[-- GGUF Quants --](https://huggingface.co/Isaak-Carter/J.O.S.I.E.3-Beta11-7B-slerp-gguf) |
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#### Run in ollama: |
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```sh |
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ollama run goekdenizguelmez/j.o.s.i.e.v3-beta11 |
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``` |
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Only Quant 4-k-m for now! |
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This model will bee further Finetuned on my custom J.O.S.I.E.v3.13 Dataset, in the ChatML prompt Format. |
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```text |
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<|im_start|>system |
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You are JOSIE, a private and super-intelligent AI assistant, created by Gökdeniz Gülmez.<|im_end|> |
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<|im_start|>user |
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{{ .Prompt }}<|im_end|> |
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<|im_start|>assistant |
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{{ .Response }}<|im_end|> |
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``` |
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## 🧩 Configuration |
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```yaml |
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slices: |
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- sources: |
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- model: cognitivecomputations/dolphin-2.8-experiment26-7b |
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layer_range: [0, 32] |
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- model: argilla/CapybaraHermes-2.5-Mistral-7B |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: argilla/CapybaraHermes-2.5-Mistral-7B |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 |
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dtype: bfloat16 |
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``` |
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## Evaluation |
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|
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```json |
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{ |
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"all": { |
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"acc": 0.6403971587643947, |
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"acc_stderr": 0.03228725576276735, |
|
"acc_norm": 0.6413927640714372, |
|
"acc_norm_stderr": 0.03294011331780708, |
|
"mc1": 0.39167686658506734, |
|
"mc1_stderr": 0.017087795881769622, |
|
"mc2": 0.5576866593959974, |
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"mc2_stderr": 0.01554622060467735 |
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}, |
|
"harness|arc:challenge|25": { |
|
"acc": 0.6186006825938567, |
|
"acc_stderr": 0.014194389086685244, |
|
"acc_norm": 0.6450511945392492, |
|
"acc_norm_stderr": 0.013983036904094087 |
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}, |
|
"harness|hellaswag|10": { |
|
"acc": 0.6738697470623382, |
|
"acc_stderr": 0.004678375103797962, |
|
"acc_norm": 0.8499302927703645, |
|
"acc_norm_stderr": 0.003564098420387764 |
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}, |
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
"acc": 0.28, |
|
"acc_stderr": 0.04512608598542128, |
|
"acc_norm": 0.28, |
|
"acc_norm_stderr": 0.04512608598542128 |
|
}, |
|
"harness|hendrycksTest-anatomy|5": { |
|
"acc": 0.5777777777777777, |
|
"acc_stderr": 0.04266763404099582, |
|
"acc_norm": 0.5777777777777777, |
|
"acc_norm_stderr": 0.04266763404099582 |
|
}, |
|
"harness|hendrycksTest-astronomy|5": { |
|
"acc": 0.6907894736842105, |
|
"acc_stderr": 0.037610708698674805, |
|
"acc_norm": 0.6907894736842105, |
|
"acc_norm_stderr": 0.037610708698674805 |
|
}, |
|
"harness|hendrycksTest-business_ethics|5": { |
|
"acc": 0.63, |
|
"acc_stderr": 0.04852365870939099, |
|
"acc_norm": 0.63, |
|
"acc_norm_stderr": 0.04852365870939099 |
|
}, |
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
"acc": 0.6830188679245283, |
|
"acc_stderr": 0.02863723563980089, |
|
"acc_norm": 0.6830188679245283, |
|
"acc_norm_stderr": 0.02863723563980089 |
|
}, |
|
"harness|hendrycksTest-college_biology|5": { |
|
"acc": 0.7708333333333334, |
|
"acc_stderr": 0.03514697467862388, |
|
"acc_norm": 0.7708333333333334, |
|
"acc_norm_stderr": 0.03514697467862388 |
|
}, |
|
"harness|hendrycksTest-college_chemistry|5": { |
|
"acc": 0.48, |
|
"acc_stderr": 0.050211673156867795, |
|
"acc_norm": 0.48, |
|
"acc_norm_stderr": 0.050211673156867795 |
|
}, |
|
"harness|hendrycksTest-college_computer_science|5": { |
|
"acc": 0.51, |
|
"acc_stderr": 0.05024183937956912, |
|
"acc_norm": 0.51, |
|
"acc_norm_stderr": 0.05024183937956912 |
|
}, |
|
"harness|hendrycksTest-college_mathematics|5": { |
|
"acc": 0.38, |
|
"acc_stderr": 0.04878317312145634, |
|
"acc_norm": 0.38, |
|
"acc_norm_stderr": 0.04878317312145634 |
|
}, |
|
"harness|hendrycksTest-college_medicine|5": { |
|
"acc": 0.6358381502890174, |
|
"acc_stderr": 0.03669072477416907, |
|
"acc_norm": 0.6358381502890174, |
|
"acc_norm_stderr": 0.03669072477416907 |
|
}, |
|
"harness|hendrycksTest-college_physics|5": { |
|
"acc": 0.4019607843137255, |
|
"acc_stderr": 0.048786087144669955, |
|
"acc_norm": 0.4019607843137255, |
|
"acc_norm_stderr": 0.048786087144669955 |
|
}, |
|
"harness|hendrycksTest-computer_security|5": { |
|
"acc": 0.74, |
|
"acc_stderr": 0.0440844002276808, |
|
"acc_norm": 0.74, |
|
"acc_norm_stderr": 0.0440844002276808 |
|
}, |
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
"acc": 0.548936170212766, |
|
"acc_stderr": 0.032529096196131965, |
|
"acc_norm": 0.548936170212766, |
|
"acc_norm_stderr": 0.032529096196131965 |
|
}, |
|
"harness|hendrycksTest-econometrics|5": { |
|
"acc": 0.4649122807017544, |
|
"acc_stderr": 0.046920083813689104, |
|
"acc_norm": 0.4649122807017544, |
|
"acc_norm_stderr": 0.046920083813689104 |
|
}, |
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
"acc": 0.5172413793103449, |
|
"acc_stderr": 0.04164188720169375, |
|
"acc_norm": 0.5172413793103449, |
|
"acc_norm_stderr": 0.04164188720169375 |
|
}, |
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
"acc": 0.41534391534391535, |
|
"acc_stderr": 0.025379524910778398, |
|
"acc_norm": 0.41534391534391535, |
|
"acc_norm_stderr": 0.025379524910778398 |
|
}, |
|
"harness|hendrycksTest-formal_logic|5": { |
|
"acc": 0.4444444444444444, |
|
"acc_stderr": 0.044444444444444495, |
|
"acc_norm": 0.4444444444444444, |
|
"acc_norm_stderr": 0.044444444444444495 |
|
}, |
|
"harness|hendrycksTest-global_facts|5": { |
|
"acc": 0.33, |
|
"acc_stderr": 0.047258156262526045, |
|
"acc_norm": 0.33, |
|
"acc_norm_stderr": 0.047258156262526045 |
|
}, |
|
"harness|hendrycksTest-high_school_biology|5": { |
|
"acc": 0.7741935483870968, |
|
"acc_stderr": 0.023785577884181012, |
|
"acc_norm": 0.7741935483870968, |
|
"acc_norm_stderr": 0.023785577884181012 |
|
}, |
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
"acc": 0.4729064039408867, |
|
"acc_stderr": 0.03512819077876106, |
|
"acc_norm": 0.4729064039408867, |
|
"acc_norm_stderr": 0.03512819077876106 |
|
}, |
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
"acc": 0.68, |
|
"acc_stderr": 0.04688261722621505, |
|
"acc_norm": 0.68, |
|
"acc_norm_stderr": 0.04688261722621505 |
|
}, |
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
"acc": 0.793939393939394, |
|
"acc_stderr": 0.0315841532404771, |
|
"acc_norm": 0.793939393939394, |
|
"acc_norm_stderr": 0.0315841532404771 |
|
}, |
|
"harness|hendrycksTest-high_school_geography|5": { |
|
"acc": 0.8181818181818182, |
|
"acc_stderr": 0.027479603010538804, |
|
"acc_norm": 0.8181818181818182, |
|
"acc_norm_stderr": 0.027479603010538804 |
|
}, |
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
"acc": 0.9067357512953368, |
|
"acc_stderr": 0.02098685459328972, |
|
"acc_norm": 0.9067357512953368, |
|
"acc_norm_stderr": 0.02098685459328972 |
|
}, |
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
"acc": 0.658974358974359, |
|
"acc_stderr": 0.024035489676335082, |
|
"acc_norm": 0.658974358974359, |
|
"acc_norm_stderr": 0.024035489676335082 |
|
}, |
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
"acc": 0.32592592592592595, |
|
"acc_stderr": 0.028578348365473072, |
|
"acc_norm": 0.32592592592592595, |
|
"acc_norm_stderr": 0.028578348365473072 |
|
}, |
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
"acc": 0.680672268907563, |
|
"acc_stderr": 0.030283995525884396, |
|
"acc_norm": 0.680672268907563, |
|
"acc_norm_stderr": 0.030283995525884396 |
|
}, |
|
"harness|hendrycksTest-high_school_physics|5": { |
|
"acc": 0.3576158940397351, |
|
"acc_stderr": 0.03913453431177258, |
|
"acc_norm": 0.3576158940397351, |
|
"acc_norm_stderr": 0.03913453431177258 |
|
}, |
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
"acc": 0.8348623853211009, |
|
"acc_stderr": 0.015919557829976037, |
|
"acc_norm": 0.8348623853211009, |
|
"acc_norm_stderr": 0.015919557829976037 |
|
}, |
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
"acc": 0.5138888888888888, |
|
"acc_stderr": 0.03408655867977749, |
|
"acc_norm": 0.5138888888888888, |
|
"acc_norm_stderr": 0.03408655867977749 |
|
}, |
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
"acc": 0.7892156862745098, |
|
"acc_stderr": 0.028626547912437413, |
|
"acc_norm": 0.7892156862745098, |
|
"acc_norm_stderr": 0.028626547912437413 |
|
}, |
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
"acc": 0.8143459915611815, |
|
"acc_stderr": 0.02531049537694486, |
|
"acc_norm": 0.8143459915611815, |
|
"acc_norm_stderr": 0.02531049537694486 |
|
}, |
|
"harness|hendrycksTest-human_aging|5": { |
|
"acc": 0.6995515695067265, |
|
"acc_stderr": 0.030769352008229146, |
|
"acc_norm": 0.6995515695067265, |
|
"acc_norm_stderr": 0.030769352008229146 |
|
}, |
|
"harness|hendrycksTest-human_sexuality|5": { |
|
"acc": 0.7938931297709924, |
|
"acc_stderr": 0.03547771004159465, |
|
"acc_norm": 0.7938931297709924, |
|
"acc_norm_stderr": 0.03547771004159465 |
|
}, |
|
"harness|hendrycksTest-international_law|5": { |
|
"acc": 0.768595041322314, |
|
"acc_stderr": 0.03849856098794088, |
|
"acc_norm": 0.768595041322314, |
|
"acc_norm_stderr": 0.03849856098794088 |
|
}, |
|
"harness|hendrycksTest-jurisprudence|5": { |
|
"acc": 0.7870370370370371, |
|
"acc_stderr": 0.0395783547198098, |
|
"acc_norm": 0.7870370370370371, |
|
"acc_norm_stderr": 0.0395783547198098 |
|
}, |
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
"acc": 0.7668711656441718, |
|
"acc_stderr": 0.0332201579577674, |
|
"acc_norm": 0.7668711656441718, |
|
"acc_norm_stderr": 0.0332201579577674 |
|
}, |
|
"harness|hendrycksTest-machine_learning|5": { |
|
"acc": 0.5178571428571429, |
|
"acc_stderr": 0.047427623612430116, |
|
"acc_norm": 0.5178571428571429, |
|
"acc_norm_stderr": 0.047427623612430116 |
|
}, |
|
"harness|hendrycksTest-management|5": { |
|
"acc": 0.7864077669902912, |
|
"acc_stderr": 0.040580420156460344, |
|
"acc_norm": 0.7864077669902912, |
|
"acc_norm_stderr": 0.040580420156460344 |
|
}, |
|
"harness|hendrycksTest-marketing|5": { |
|
"acc": 0.8675213675213675, |
|
"acc_stderr": 0.022209309073165616, |
|
"acc_norm": 0.8675213675213675, |
|
"acc_norm_stderr": 0.022209309073165616 |
|
}, |
|
"harness|hendrycksTest-medical_genetics|5": { |
|
"acc": 0.69, |
|
"acc_stderr": 0.04648231987117316, |
|
"acc_norm": 0.69, |
|
"acc_norm_stderr": 0.04648231987117316 |
|
}, |
|
"harness|hendrycksTest-miscellaneous|5": { |
|
"acc": 0.8007662835249042, |
|
"acc_stderr": 0.014283378044296418, |
|
"acc_norm": 0.8007662835249042, |
|
"acc_norm_stderr": 0.014283378044296418 |
|
}, |
|
"harness|hendrycksTest-moral_disputes|5": { |
|
"acc": 0.7225433526011561, |
|
"acc_stderr": 0.024105712607754307, |
|
"acc_norm": 0.7225433526011561, |
|
"acc_norm_stderr": 0.024105712607754307 |
|
}, |
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
"acc": 0.30726256983240224, |
|
"acc_stderr": 0.01543015884646961, |
|
"acc_norm": 0.30726256983240224, |
|
"acc_norm_stderr": 0.01543015884646961 |
|
}, |
|
"harness|hendrycksTest-nutrition|5": { |
|
"acc": 0.7320261437908496, |
|
"acc_stderr": 0.025360603796242557, |
|
"acc_norm": 0.7320261437908496, |
|
"acc_norm_stderr": 0.025360603796242557 |
|
}, |
|
"harness|hendrycksTest-philosophy|5": { |
|
"acc": 0.7138263665594855, |
|
"acc_stderr": 0.025670259242188933, |
|
"acc_norm": 0.7138263665594855, |
|
"acc_norm_stderr": 0.025670259242188933 |
|
}, |
|
"harness|hendrycksTest-prehistory|5": { |
|
"acc": 0.7283950617283951, |
|
"acc_stderr": 0.024748624490537368, |
|
"acc_norm": 0.7283950617283951, |
|
"acc_norm_stderr": 0.024748624490537368 |
|
}, |
|
"harness|hendrycksTest-professional_accounting|5": { |
|
"acc": 0.48936170212765956, |
|
"acc_stderr": 0.029820747191422473, |
|
"acc_norm": 0.48936170212765956, |
|
"acc_norm_stderr": 0.029820747191422473 |
|
}, |
|
"harness|hendrycksTest-professional_law|5": { |
|
"acc": 0.4706649282920469, |
|
"acc_stderr": 0.01274823839736555, |
|
"acc_norm": 0.4706649282920469, |
|
"acc_norm_stderr": 0.01274823839736555 |
|
}, |
|
"harness|hendrycksTest-professional_medicine|5": { |
|
"acc": 0.6764705882352942, |
|
"acc_stderr": 0.028418208619406762, |
|
"acc_norm": 0.6764705882352942, |
|
"acc_norm_stderr": 0.028418208619406762 |
|
}, |
|
"harness|hendrycksTest-professional_psychology|5": { |
|
"acc": 0.6764705882352942, |
|
"acc_stderr": 0.018926082916083376, |
|
"acc_norm": 0.6764705882352942, |
|
"acc_norm_stderr": 0.018926082916083376 |
|
}, |
|
"harness|hendrycksTest-public_relations|5": { |
|
"acc": 0.6636363636363637, |
|
"acc_stderr": 0.04525393596302506, |
|
"acc_norm": 0.6636363636363637, |
|
"acc_norm_stderr": 0.04525393596302506 |
|
}, |
|
"harness|hendrycksTest-security_studies|5": { |
|
"acc": 0.7387755102040816, |
|
"acc_stderr": 0.02812342933514278, |
|
"acc_norm": 0.7387755102040816, |
|
"acc_norm_stderr": 0.02812342933514278 |
|
}, |
|
"harness|hendrycksTest-sociology|5": { |
|
"acc": 0.835820895522388, |
|
"acc_stderr": 0.02619392354445412, |
|
"acc_norm": 0.835820895522388, |
|
"acc_norm_stderr": 0.02619392354445412 |
|
}, |
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
"acc": 0.83, |
|
"acc_stderr": 0.0377525168068637, |
|
"acc_norm": 0.83, |
|
"acc_norm_stderr": 0.0377525168068637 |
|
}, |
|
"harness|hendrycksTest-virology|5": { |
|
"acc": 0.5421686746987951, |
|
"acc_stderr": 0.0387862677100236, |
|
"acc_norm": 0.5421686746987951, |
|
"acc_norm_stderr": 0.0387862677100236 |
|
}, |
|
"harness|hendrycksTest-world_religions|5": { |
|
"acc": 0.8187134502923976, |
|
"acc_stderr": 0.029547741687640038, |
|
"acc_norm": 0.8187134502923976, |
|
"acc_norm_stderr": 0.029547741687640038 |
|
}, |
|
"harness|truthfulqa:mc|0": { |
|
"mc1": 0.39167686658506734, |
|
"mc1_stderr": 0.017087795881769622, |
|
"mc2": 0.5576866593959974, |
|
"mc2_stderr": 0.01554622060467735 |
|
}, |
|
"harness|winogrande|5": { |
|
"acc": 0.7884767166535123, |
|
"acc_stderr": 0.011477747684223188 |
|
}, |
|
"harness|gsm8k|5": { |
|
"acc": 0.6360879454131918, |
|
"acc_stderr": 0.013252539227966195 |
|
} |
|
} |
|
``` |
|
|
|
## 💻 Usage |
|
|
|
```python |
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!pip install -qU transformers accelerate |
|
|
|
from transformers import AutoTokenizer |
|
import transformers |
|
import torch |
|
|
|
model = "Isaak-Carter/J.O.S.I.E.3-Beta11-7B-slerp" |
|
messages = [{"role": "user", "content": "What is a large language model?"}] |
|
|
|
tokenizer = AutoTokenizer.from_pretrained(model) |
|
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
|
) |
|
|
|
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
