514 lines
17 KiB
Markdown
514 lines
17 KiB
Markdown
---
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license: apache-2.0
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library_name: transformers
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tags:
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- merge
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pipeline_tag: text-generation
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model-index:
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- name: TheTop-5x7B-Instruct-P-v0.1
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 38.57
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 51.54
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 63.36
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 50.07
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 72.61
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 0.0
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
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name: Open LLM Leaderboard
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---
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Merge of top 7B models with PASS method
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> mergekit is a toolkit for merging pre-trained language models. mergekit uses an out-of-core approach to perform unreasonably elaborate merges in resource-constrained situations. Merges can be run entirely on CPU or accelerated with as little as 8 GB of VRAM. Many merging algorithms are supported, with more coming as they catch my attention.
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## Eval
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```python
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{
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"all": {
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"acc": 0.6152059168567449,
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"acc_stderr": 0.031951119145286845,
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"acc_norm": 0.6274010157580394,
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"acc_norm_stderr": 0.032831804892806175,
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"mc1": 0.25091799265605874,
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"mc1_stderr": 0.015176985027707694,
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"mc2": 0.5006656333594469,
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"mc2_stderr": 0.01636490303268174
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},
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"harness|arc:challenge|25": {
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"acc": 0.3447098976109215,
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"acc_stderr": 0.013888816286782112,
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"acc_norm": 0.3856655290102389,
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"acc_norm_stderr": 0.01422425097325717
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},
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"harness|hellaswag|10": {
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"acc": 0.34116709818761204,
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"acc_stderr": 0.004731324409133264,
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"acc_norm": 0.515435172276439,
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"acc_norm_stderr": 0.004987403268345035
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},
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"harness|hendrycksTest-abstract_algebra|5": {
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"acc": 0.27,
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"acc_stderr": 0.04461960433384741,
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"acc_norm": 0.27,
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"acc_norm_stderr": 0.04461960433384741
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},
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"harness|hendrycksTest-anatomy|5": {
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"acc": 0.5703703703703704,
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"acc_stderr": 0.042763494943765995,
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"acc_norm": 0.5703703703703704,
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"acc_norm_stderr": 0.042763494943765995
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},
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"harness|hendrycksTest-astronomy|5": {
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"acc": 0.6842105263157895,
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"acc_stderr": 0.0378272898086547,
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"acc_norm": 0.6842105263157895,
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"acc_norm_stderr": 0.0378272898086547
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},
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"harness|hendrycksTest-business_ethics|5": {
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"acc": 0.62,
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"acc_stderr": 0.048783173121456316,
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"acc_norm": 0.62,
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"acc_norm_stderr": 0.048783173121456316
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},
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"harness|hendrycksTest-clinical_knowledge|5": {
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"acc": 0.7169811320754716,
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"acc_stderr": 0.027724236492700918,
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"acc_norm": 0.7169811320754716,
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"acc_norm_stderr": 0.027724236492700918
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},
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"harness|hendrycksTest-college_biology|5": {
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"acc": 0.7638888888888888,
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"acc_stderr": 0.03551446610810826,
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"acc_norm": 0.7638888888888888,
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"acc_norm_stderr": 0.03551446610810826
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},
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"harness|hendrycksTest-college_chemistry|5": {
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"acc": 0.45,
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"acc_stderr": 0.05,
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"acc_norm": 0.45,
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"acc_norm_stderr": 0.05
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},
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"harness|hendrycksTest-college_computer_science|5": {
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"acc": 0.46,
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"acc_stderr": 0.05009082659620333,
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"acc_norm": 0.46,
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"acc_norm_stderr": 0.05009082659620333
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},
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"harness|hendrycksTest-college_mathematics|5": {
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"acc": 0.32,
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"acc_stderr": 0.04688261722621504,
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"acc_norm": 0.32,
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"acc_norm_stderr": 0.04688261722621504
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},
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"harness|hendrycksTest-college_medicine|5": {
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"acc": 0.6358381502890174,
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"acc_stderr": 0.03669072477416907,
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"acc_norm": 0.6358381502890174,
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"acc_norm_stderr": 0.03669072477416907
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},
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"harness|hendrycksTest-college_physics|5": {
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"acc": 0.4019607843137255,
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"acc_stderr": 0.048786087144669955,
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"acc_norm": 0.4019607843137255,
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"acc_norm_stderr": 0.048786087144669955
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},
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"harness|hendrycksTest-computer_security|5": {
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"acc": 0.76,
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"acc_stderr": 0.04292346959909283,
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"acc_norm": 0.76,
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"acc_norm_stderr": 0.04292346959909283
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},
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"harness|hendrycksTest-conceptual_physics|5": {
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"acc": 0.5446808510638298,
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"acc_stderr": 0.03255525359340355,
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"acc_norm": 0.5446808510638298,
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"acc_norm_stderr": 0.03255525359340355
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},
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"harness|hendrycksTest-econometrics|5": {
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"acc": 0.4824561403508772,
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"acc_stderr": 0.04700708033551038,
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"acc_norm": 0.4824561403508772,
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"acc_norm_stderr": 0.04700708033551038
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},
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"harness|hendrycksTest-electrical_engineering|5": {
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"acc": 0.5172413793103449,
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"acc_stderr": 0.04164188720169375,
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"acc_norm": 0.5172413793103449,
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"acc_norm_stderr": 0.04164188720169375
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},
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"harness|hendrycksTest-elementary_mathematics|5": {
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"acc": 0.42857142857142855,
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"acc_stderr": 0.025487187147859372,
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"acc_norm": 0.42857142857142855,
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"acc_norm_stderr": 0.025487187147859372
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},
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"harness|hendrycksTest-formal_logic|5": {
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"acc": 0.3968253968253968,
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"acc_stderr": 0.043758884927270605,
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"acc_norm": 0.3968253968253968,
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"acc_norm_stderr": 0.043758884927270605
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},
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"harness|hendrycksTest-global_facts|5": {
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"acc": 0.34,
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"acc_stderr": 0.04760952285695236,
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"acc_norm": 0.34,
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"acc_norm_stderr": 0.04760952285695236
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},
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"harness|hendrycksTest-high_school_biology|5": {
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"acc": 0.7741935483870968,
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"acc_stderr": 0.023785577884181015,
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"acc_norm": 0.7741935483870968,
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"acc_norm_stderr": 0.023785577884181015
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},
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"harness|hendrycksTest-high_school_chemistry|5": {
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"acc": 0.5123152709359606,
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"acc_stderr": 0.035169204442208966,
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"acc_norm": 0.5123152709359606,
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"acc_norm_stderr": 0.035169204442208966
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},
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"harness|hendrycksTest-high_school_computer_science|5": {
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"acc": 0.66,
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"acc_stderr": 0.04760952285695237,
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"acc_norm": 0.66,
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"acc_norm_stderr": 0.04760952285695237
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},
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"harness|hendrycksTest-high_school_european_history|5": {
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"acc": 0.7636363636363637,
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"acc_stderr": 0.03317505930009181,
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"acc_norm": 0.7636363636363637,
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"acc_norm_stderr": 0.03317505930009181
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},
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"harness|hendrycksTest-high_school_geography|5": {
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"acc": 0.7373737373737373,
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"acc_stderr": 0.03135305009533085,
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"acc_norm": 0.7373737373737373,
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"acc_norm_stderr": 0.03135305009533085
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},
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"harness|hendrycksTest-high_school_government_and_politics|5": {
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"acc": 0.8808290155440415,
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"acc_stderr": 0.023381935348121437,
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"acc_norm": 0.8808290155440415,
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"acc_norm_stderr": 0.023381935348121437
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},
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"harness|hendrycksTest-high_school_macroeconomics|5": {
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"acc": 0.617948717948718,
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"acc_stderr": 0.024635549163908237,
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"acc_norm": 0.617948717948718,
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"acc_norm_stderr": 0.024635549163908237
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},
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"harness|hendrycksTest-high_school_mathematics|5": {
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"acc": 0.2777777777777778,
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"acc_stderr": 0.027309140588230203,
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"acc_norm": 0.2777777777777778,
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"acc_norm_stderr": 0.027309140588230203
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},
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"harness|hendrycksTest-high_school_microeconomics|5": {
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"acc": 0.6512605042016807,
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"acc_stderr": 0.030956636328566545,
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"acc_norm": 0.6512605042016807,
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"acc_norm_stderr": 0.030956636328566545
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},
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"harness|hendrycksTest-high_school_physics|5": {
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"acc": 0.32450331125827814,
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"acc_stderr": 0.038227469376587525,
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"acc_norm": 0.32450331125827814,
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"acc_norm_stderr": 0.038227469376587525
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},
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"harness|hendrycksTest-high_school_psychology|5": {
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"acc": 0.8440366972477065,
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"acc_stderr": 0.015555802713590158,
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"acc_norm": 0.8440366972477065,
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"acc_norm_stderr": 0.015555802713590158
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},
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"harness|hendrycksTest-high_school_statistics|5": {
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"acc": 0.4722222222222222,
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"acc_stderr": 0.0340470532865388,
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"acc_norm": 0.4722222222222222,
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"acc_norm_stderr": 0.0340470532865388
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},
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"harness|hendrycksTest-high_school_us_history|5": {
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"acc": 0.8431372549019608,
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"acc_stderr": 0.025524722324553346,
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"acc_norm": 0.8431372549019608,
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"acc_norm_stderr": 0.025524722324553346
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},
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"harness|hendrycksTest-high_school_world_history|5": {
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"acc": 0.810126582278481,
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"acc_stderr": 0.025530100460233497,
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"acc_norm": 0.810126582278481,
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"acc_norm_stderr": 0.025530100460233497
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},
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"harness|hendrycksTest-human_aging|5": {
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"acc": 0.7174887892376681,
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"acc_stderr": 0.03021683101150877,
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"acc_norm": 0.7174887892376681,
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"acc_norm_stderr": 0.03021683101150877
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},
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"harness|hendrycksTest-human_sexuality|5": {
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"acc": 0.7786259541984732,
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"acc_stderr": 0.0364129708131373,
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"acc_norm": 0.7786259541984732,
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"acc_norm_stderr": 0.0364129708131373
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},
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"harness|hendrycksTest-international_law|5": {
|
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"acc": 0.7768595041322314,
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"acc_stderr": 0.03800754475228733,
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"acc_norm": 0.7768595041322314,
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"acc_norm_stderr": 0.03800754475228733
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},
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"harness|hendrycksTest-jurisprudence|5": {
|
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"acc": 0.8148148148148148,
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"acc_stderr": 0.03755265865037181,
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"acc_norm": 0.8148148148148148,
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"acc_norm_stderr": 0.03755265865037181
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},
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"harness|hendrycksTest-logical_fallacies|5": {
|
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"acc": 0.7914110429447853,
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"acc_stderr": 0.031921934489347235,
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"acc_norm": 0.7914110429447853,
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"acc_norm_stderr": 0.031921934489347235
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},
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"harness|hendrycksTest-machine_learning|5": {
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"acc": 0.5446428571428571,
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"acc_stderr": 0.04726835553719097,
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"acc_norm": 0.5446428571428571,
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"acc_norm_stderr": 0.04726835553719097
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},
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"harness|hendrycksTest-management|5": {
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"acc": 0.8349514563106796,
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"acc_stderr": 0.036756688322331886,
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"acc_norm": 0.8349514563106796,
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"acc_norm_stderr": 0.036756688322331886
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},
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"harness|hendrycksTest-marketing|5": {
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"acc": 0.8290598290598291,
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"acc_stderr": 0.024662496845209804,
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"acc_norm": 0.8290598290598291,
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"acc_norm_stderr": 0.024662496845209804
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},
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"harness|hendrycksTest-medical_genetics|5": {
|
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"acc": 0.69,
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"acc_stderr": 0.04648231987117316,
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"acc_norm": 0.69,
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"acc_norm_stderr": 0.04648231987117316
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},
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"harness|hendrycksTest-miscellaneous|5": {
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"acc": 0.8250319284802043,
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"acc_stderr": 0.013586619219903324,
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"acc_norm": 0.8250319284802043,
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"acc_norm_stderr": 0.013586619219903324
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},
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"harness|hendrycksTest-moral_disputes|5": {
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"acc": 0.7283236994219653,
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"acc_stderr": 0.023948512905468348,
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"acc_norm": 0.7283236994219653,
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"acc_norm_stderr": 0.023948512905468348
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},
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"harness|hendrycksTest-moral_scenarios|5": {
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"acc": 0.36312849162011174,
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"acc_stderr": 0.016083749986853704,
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"acc_norm": 0.36312849162011174,
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"acc_norm_stderr": 0.016083749986853704
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},
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"harness|hendrycksTest-nutrition|5": {
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"acc": 0.7450980392156863,
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"acc_stderr": 0.02495418432487991,
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"acc_norm": 0.7450980392156863,
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"acc_norm_stderr": 0.02495418432487991
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},
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"harness|hendrycksTest-philosophy|5": {
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"acc": 0.7202572347266881,
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"acc_stderr": 0.02549425935069491,
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"acc_norm": 0.7202572347266881,
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"acc_norm_stderr": 0.02549425935069491
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},
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"harness|hendrycksTest-prehistory|5": {
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"acc": 0.7530864197530864,
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"acc_stderr": 0.023993501709042114,
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"acc_norm": 0.7530864197530864,
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"acc_norm_stderr": 0.023993501709042114
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},
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"harness|hendrycksTest-professional_accounting|5": {
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"acc": 0.4787234042553192,
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"acc_stderr": 0.029800481645628693,
|
|
"acc_norm": 0.4787234042553192,
|
|
"acc_norm_stderr": 0.029800481645628693
|
|
},
|
|
"harness|hendrycksTest-professional_law|5": {
|
|
"acc": 0.4367666232073012,
|
|
"acc_stderr": 0.01266770191960366,
|
|
"acc_norm": 0.4367666232073012,
|
|
"acc_norm_stderr": 0.01266770191960366
|
|
},
|
|
"harness|hendrycksTest-professional_medicine|5": {
|
|
"acc": 0.6176470588235294,
|
|
"acc_stderr": 0.029520095697687765,
|
|
"acc_norm": 0.6176470588235294,
|
|
"acc_norm_stderr": 0.029520095697687765
|
|
},
|
|
"harness|hendrycksTest-professional_psychology|5": {
|
|
"acc": 0.6699346405228758,
|
|
"acc_stderr": 0.019023726160724553,
|
|
"acc_norm": 0.6699346405228758,
|
|
"acc_norm_stderr": 0.019023726160724553
|
|
},
|
|
"harness|hendrycksTest-public_relations|5": {
|
|
"acc": 0.6545454545454545,
|
|
"acc_stderr": 0.04554619617541054,
|
|
"acc_norm": 0.6545454545454545,
|
|
"acc_norm_stderr": 0.04554619617541054
|
|
},
|
|
"harness|hendrycksTest-security_studies|5": {
|
|
"acc": 0.726530612244898,
|
|
"acc_stderr": 0.028535560337128445,
|
|
"acc_norm": 0.726530612244898,
|
|
"acc_norm_stderr": 0.028535560337128445
|
|
},
|
|
"harness|hendrycksTest-sociology|5": {
|
|
"acc": 0.845771144278607,
|
|
"acc_stderr": 0.025538433368578334,
|
|
"acc_norm": 0.845771144278607,
|
|
"acc_norm_stderr": 0.025538433368578334
|
|
},
|
|
"harness|hendrycksTest-us_foreign_policy|5": {
|
|
"acc": 0.85,
|
|
"acc_stderr": 0.03588702812826371,
|
|
"acc_norm": 0.85,
|
|
"acc_norm_stderr": 0.03588702812826371
|
|
},
|
|
"harness|hendrycksTest-virology|5": {
|
|
"acc": 0.5542168674698795,
|
|
"acc_stderr": 0.03869543323472101,
|
|
"acc_norm": 0.5542168674698795,
|
|
"acc_norm_stderr": 0.03869543323472101
|
|
},
|
|
"harness|hendrycksTest-world_religions|5": {
|
|
"acc": 0.8362573099415205,
|
|
"acc_stderr": 0.028380919596145866,
|
|
"acc_norm": 0.8362573099415205,
|
|
"acc_norm_stderr": 0.028380919596145866
|
|
},
|
|
"harness|truthfulqa:mc|0": {
|
|
"mc1": 0.25091799265605874,
|
|
"mc1_stderr": 0.015176985027707694,
|
|
"mc2": 0.5006656333594469,
|
|
"mc2_stderr": 0.01636490303268174
|
|
},
|
|
"harness|winogrande|5": {
|
|
"acc": 0.7261247040252565,
|
|
"acc_stderr": 0.012533292732620296
|
|
},
|
|
"harness|gsm8k|5": {
|
|
"acc": 0.0,
|
|
"acc_stderr": 0.0
|
|
}
|
|
}
|
|
|
|
```
|
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_MaziyarPanahi__TheTop-5x7B-Instruct-P-v0.1)
|
|
|
|
| Metric |Value|
|
|
|---------------------------------|----:|
|
|
|Avg. |46.02|
|
|
|AI2 Reasoning Challenge (25-Shot)|38.57|
|
|
|HellaSwag (10-Shot) |51.54|
|
|
|MMLU (5-Shot) |63.36|
|
|
|TruthfulQA (0-shot) |50.07|
|
|
|Winogrande (5-shot) |72.61|
|
|
|GSM8k (5-shot) | 0.00|
|
|
|