初始化项目，由ModelHub XC社区提供模型
Model: MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1 Source: Original Platform
This commit is contained in:
ModelHub XC
35
.gitattributes
vendored
Normal file
35
.gitattributes
vendored
Normal file
@@ -0,0 +1,35 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
513
README.md
Normal file
513
README.md
Normal file
@@ -0,0 +1,513 @@
|
||||
---
|
||||
license: apache-2.0
|
||||
library_name: transformers
|
||||
tags:
|
||||
- merge
|
||||
pipeline_tag: text-generation
|
||||
model-index:
|
||||
- name: TheTop-5x7B-Instruct-P-v0.1
|
||||
results:
|
||||
- task:
|
||||
type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
||||
name: AI2 Reasoning Challenge (25-Shot)
|
||||
type: ai2_arc
|
||||
config: ARC-Challenge
|
||||
split: test
|
||||
args:
|
||||
num_few_shot: 25
|
||||
metrics:
|
||||
- type: acc_norm
|
||||
value: 38.57
|
||||
name: normalized accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
||||
type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
||||
name: HellaSwag (10-Shot)
|
||||
type: hellaswag
|
||||
split: validation
|
||||
args:
|
||||
num_few_shot: 10
|
||||
metrics:
|
||||
- type: acc_norm
|
||||
value: 51.54
|
||||
name: normalized accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
||||
type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
||||
name: MMLU (5-Shot)
|
||||
type: cais/mmlu
|
||||
config: all
|
||||
split: test
|
||||
args:
|
||||
num_few_shot: 5
|
||||
metrics:
|
||||
- type: acc
|
||||
value: 63.36
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
||||
type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
||||
name: TruthfulQA (0-shot)
|
||||
type: truthful_qa
|
||||
config: multiple_choice
|
||||
split: validation
|
||||
args:
|
||||
num_few_shot: 0
|
||||
metrics:
|
||||
- type: mc2
|
||||
value: 50.07
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
||||
type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
||||
name: Winogrande (5-shot)
|
||||
type: winogrande
|
||||
config: winogrande_xl
|
||||
split: validation
|
||||
args:
|
||||
num_few_shot: 5
|
||||
metrics:
|
||||
- type: acc
|
||||
value: 72.61
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
||||
type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
||||
name: GSM8k (5-shot)
|
||||
type: gsm8k
|
||||
config: main
|
||||
split: test
|
||||
args:
|
||||
num_few_shot: 5
|
||||
metrics:
|
||||
- type: acc
|
||||
value: 0.0
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
|
||||
name: Open LLM Leaderboard
|
||||
---
|
||||
|
||||
Merge of top 7B models with PASS method
|
||||
|
||||
> 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.
|
||||
|
||||
## Eval
|
||||
|
||||
```python
|
||||
{
|
||||
"all": {
|
||||
"acc": 0.6152059168567449,
|
||||
"acc_stderr": 0.031951119145286845,
|
||||
"acc_norm": 0.6274010157580394,
|
||||
"acc_norm_stderr": 0.032831804892806175,
|
||||
"mc1": 0.25091799265605874,
|
||||
"mc1_stderr": 0.015176985027707694,
|
||||
"mc2": 0.5006656333594469,
|
||||
"mc2_stderr": 0.01636490303268174
|
||||
},
|
||||
"harness|arc:challenge|25": {
|
||||
"acc": 0.3447098976109215,
|
||||
"acc_stderr": 0.013888816286782112,
|
||||
"acc_norm": 0.3856655290102389,
|
||||
"acc_norm_stderr": 0.01422425097325717
|
||||
},
|
||||
"harness|hellaswag|10": {
|
||||
"acc": 0.34116709818761204,
|
||||
"acc_stderr": 0.004731324409133264,
|
||||
"acc_norm": 0.515435172276439,
|
||||
"acc_norm_stderr": 0.004987403268345035
|
||||
},
|
||||
"harness|hendrycksTest-abstract_algebra|5": {
|
||||
"acc": 0.27,
|
||||
"acc_stderr": 0.04461960433384741,
|
||||
"acc_norm": 0.27,
|
||||
"acc_norm_stderr": 0.04461960433384741
|
||||
},
|
||||
"harness|hendrycksTest-anatomy|5": {
|
||||
"acc": 0.5703703703703704,
|
||||
"acc_stderr": 0.042763494943765995,
|
||||
"acc_norm": 0.5703703703703704,
|
||||
"acc_norm_stderr": 0.042763494943765995
|
||||
},
|
||||
"harness|hendrycksTest-astronomy|5": {
|
||||
"acc": 0.6842105263157895,
|
||||
"acc_stderr": 0.0378272898086547,
|
||||
"acc_norm": 0.6842105263157895,
|
||||
"acc_norm_stderr": 0.0378272898086547
|
||||
},
|
||||
"harness|hendrycksTest-business_ethics|5": {
|
||||
"acc": 0.62,
|
||||
"acc_stderr": 0.048783173121456316,
|
||||
"acc_norm": 0.62,
|
||||
"acc_norm_stderr": 0.048783173121456316
|
||||
},
|
||||
"harness|hendrycksTest-clinical_knowledge|5": {
|
||||
"acc": 0.7169811320754716,
|
||||
"acc_stderr": 0.027724236492700918,
|
||||
"acc_norm": 0.7169811320754716,
|
||||
"acc_norm_stderr": 0.027724236492700918
|
||||
},
|
||||
"harness|hendrycksTest-college_biology|5": {
|
||||
"acc": 0.7638888888888888,
|
||||
"acc_stderr": 0.03551446610810826,
|
||||
"acc_norm": 0.7638888888888888,
|
||||
"acc_norm_stderr": 0.03551446610810826
|
||||
},
|
||||
"harness|hendrycksTest-college_chemistry|5": {
|
||||
"acc": 0.45,
|
||||
"acc_stderr": 0.05,
|
||||
"acc_norm": 0.45,
|
||||
"acc_norm_stderr": 0.05
|
||||
},
|
||||
"harness|hendrycksTest-college_computer_science|5": {
|
||||
"acc": 0.46,
|
||||
"acc_stderr": 0.05009082659620333,
|
||||
"acc_norm": 0.46,
|
||||
"acc_norm_stderr": 0.05009082659620333
|
||||
},
|
||||
"harness|hendrycksTest-college_mathematics|5": {
|
||||
"acc": 0.32,
|
||||
"acc_stderr": 0.04688261722621504,
|
||||
"acc_norm": 0.32,
|
||||
"acc_norm_stderr": 0.04688261722621504
|
||||
},
|
||||
"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": 0.76,
|
||||
"acc_stderr": 0.04292346959909283,
|
||||
"acc_norm": 0.76,
|
||||
"acc_norm_stderr": 0.04292346959909283
|
||||
},
|
||||
"harness|hendrycksTest-conceptual_physics|5": {
|
||||
"acc": 0.5446808510638298,
|
||||
"acc_stderr": 0.03255525359340355,
|
||||
"acc_norm": 0.5446808510638298,
|
||||
"acc_norm_stderr": 0.03255525359340355
|
||||
},
|
||||
"harness|hendrycksTest-econometrics|5": {
|
||||
"acc": 0.4824561403508772,
|
||||
"acc_stderr": 0.04700708033551038,
|
||||
"acc_norm": 0.4824561403508772,
|
||||
"acc_norm_stderr": 0.04700708033551038
|
||||
},
|
||||
"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": 0.42857142857142855,
|
||||
"acc_stderr": 0.025487187147859372,
|
||||
"acc_norm": 0.42857142857142855,
|
||||
"acc_norm_stderr": 0.025487187147859372
|
||||
},
|
||||
"harness|hendrycksTest-formal_logic|5": {
|
||||
"acc": 0.3968253968253968,
|
||||
"acc_stderr": 0.043758884927270605,
|
||||
"acc_norm": 0.3968253968253968,
|
||||
"acc_norm_stderr": 0.043758884927270605
|
||||
},
|
||||
"harness|hendrycksTest-global_facts|5": {
|
||||
"acc": 0.34,
|
||||
"acc_stderr": 0.04760952285695236,
|
||||
"acc_norm": 0.34,
|
||||
"acc_norm_stderr": 0.04760952285695236
|
||||
},
|
||||
"harness|hendrycksTest-high_school_biology|5": {
|
||||
"acc": 0.7741935483870968,
|
||||
"acc_stderr": 0.023785577884181015,
|
||||
"acc_norm": 0.7741935483870968,
|
||||
"acc_norm_stderr": 0.023785577884181015
|
||||
},
|
||||
"harness|hendrycksTest-high_school_chemistry|5": {
|
||||
"acc": 0.5123152709359606,
|
||||
"acc_stderr": 0.035169204442208966,
|
||||
"acc_norm": 0.5123152709359606,
|
||||
"acc_norm_stderr": 0.035169204442208966
|
||||
},
|
||||
"harness|hendrycksTest-high_school_computer_science|5": {
|
||||
"acc": 0.66,
|
||||
"acc_stderr": 0.04760952285695237,
|
||||
"acc_norm": 0.66,
|
||||
"acc_norm_stderr": 0.04760952285695237
|
||||
},
|
||||
"harness|hendrycksTest-high_school_european_history|5": {
|
||||
"acc": 0.7636363636363637,
|
||||
"acc_stderr": 0.03317505930009181,
|
||||
"acc_norm": 0.7636363636363637,
|
||||
"acc_norm_stderr": 0.03317505930009181
|
||||
},
|
||||
"harness|hendrycksTest-high_school_geography|5": {
|
||||
"acc": 0.7373737373737373,
|
||||
"acc_stderr": 0.03135305009533085,
|
||||
"acc_norm": 0.7373737373737373,
|
||||
"acc_norm_stderr": 0.03135305009533085
|
||||
},
|
||||
"harness|hendrycksTest-high_school_government_and_politics|5": {
|
||||
"acc": 0.8808290155440415,
|
||||
"acc_stderr": 0.023381935348121437,
|
||||
"acc_norm": 0.8808290155440415,
|
||||
"acc_norm_stderr": 0.023381935348121437
|
||||
},
|
||||
"harness|hendrycksTest-high_school_macroeconomics|5": {
|
||||
"acc": 0.617948717948718,
|
||||
"acc_stderr": 0.024635549163908237,
|
||||
"acc_norm": 0.617948717948718,
|
||||
"acc_norm_stderr": 0.024635549163908237
|
||||
},
|
||||
"harness|hendrycksTest-high_school_mathematics|5": {
|
||||
"acc": 0.2777777777777778,
|
||||
"acc_stderr": 0.027309140588230203,
|
||||
"acc_norm": 0.2777777777777778,
|
||||
"acc_norm_stderr": 0.027309140588230203
|
||||
},
|
||||
"harness|hendrycksTest-high_school_microeconomics|5": {
|
||||
"acc": 0.6512605042016807,
|
||||
"acc_stderr": 0.030956636328566545,
|
||||
"acc_norm": 0.6512605042016807,
|
||||
"acc_norm_stderr": 0.030956636328566545
|
||||
},
|
||||
"harness|hendrycksTest-high_school_physics|5": {
|
||||
"acc": 0.32450331125827814,
|
||||
"acc_stderr": 0.038227469376587525,
|
||||
"acc_norm": 0.32450331125827814,
|
||||
"acc_norm_stderr": 0.038227469376587525
|
||||
},
|
||||
"harness|hendrycksTest-high_school_psychology|5": {
|
||||
"acc": 0.8440366972477065,
|
||||
"acc_stderr": 0.015555802713590158,
|
||||
"acc_norm": 0.8440366972477065,
|
||||
"acc_norm_stderr": 0.015555802713590158
|
||||
},
|
||||
"harness|hendrycksTest-high_school_statistics|5": {
|
||||
"acc": 0.4722222222222222,
|
||||
"acc_stderr": 0.0340470532865388,
|
||||
"acc_norm": 0.4722222222222222,
|
||||
"acc_norm_stderr": 0.0340470532865388
|
||||
},
|
||||
"harness|hendrycksTest-high_school_us_history|5": {
|
||||
"acc": 0.8431372549019608,
|
||||
"acc_stderr": 0.025524722324553346,
|
||||
"acc_norm": 0.8431372549019608,
|
||||
"acc_norm_stderr": 0.025524722324553346
|
||||
},
|
||||
"harness|hendrycksTest-high_school_world_history|5": {
|
||||
"acc": 0.810126582278481,
|
||||
"acc_stderr": 0.025530100460233497,
|
||||
"acc_norm": 0.810126582278481,
|
||||
"acc_norm_stderr": 0.025530100460233497
|
||||
},
|
||||
"harness|hendrycksTest-human_aging|5": {
|
||||
"acc": 0.7174887892376681,
|
||||
"acc_stderr": 0.03021683101150877,
|
||||
"acc_norm": 0.7174887892376681,
|
||||
"acc_norm_stderr": 0.03021683101150877
|
||||
},
|
||||
"harness|hendrycksTest-human_sexuality|5": {
|
||||
"acc": 0.7786259541984732,
|
||||
"acc_stderr": 0.0364129708131373,
|
||||
"acc_norm": 0.7786259541984732,
|
||||
"acc_norm_stderr": 0.0364129708131373
|
||||
},
|
||||
"harness|hendrycksTest-international_law|5": {
|
||||
"acc": 0.7768595041322314,
|
||||
"acc_stderr": 0.03800754475228733,
|
||||
"acc_norm": 0.7768595041322314,
|
||||
"acc_norm_stderr": 0.03800754475228733
|
||||
},
|
||||
"harness|hendrycksTest-jurisprudence|5": {
|
||||
"acc": 0.8148148148148148,
|
||||
"acc_stderr": 0.03755265865037181,
|
||||
"acc_norm": 0.8148148148148148,
|
||||
"acc_norm_stderr": 0.03755265865037181
|
||||
},
|
||||
"harness|hendrycksTest-logical_fallacies|5": {
|
||||
"acc": 0.7914110429447853,
|
||||
"acc_stderr": 0.031921934489347235,
|
||||
"acc_norm": 0.7914110429447853,
|
||||
"acc_norm_stderr": 0.031921934489347235
|
||||
},
|
||||
"harness|hendrycksTest-machine_learning|5": {
|
||||
"acc": 0.5446428571428571,
|
||||
"acc_stderr": 0.04726835553719097,
|
||||
"acc_norm": 0.5446428571428571,
|
||||
"acc_norm_stderr": 0.04726835553719097
|
||||
},
|
||||
"harness|hendrycksTest-management|5": {
|
||||
"acc": 0.8349514563106796,
|
||||
"acc_stderr": 0.036756688322331886,
|
||||
"acc_norm": 0.8349514563106796,
|
||||
"acc_norm_stderr": 0.036756688322331886
|
||||
},
|
||||
"harness|hendrycksTest-marketing|5": {
|
||||
"acc": 0.8290598290598291,
|
||||
"acc_stderr": 0.024662496845209804,
|
||||
"acc_norm": 0.8290598290598291,
|
||||
"acc_norm_stderr": 0.024662496845209804
|
||||
},
|
||||
"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": 0.8250319284802043,
|
||||
"acc_stderr": 0.013586619219903324,
|
||||
"acc_norm": 0.8250319284802043,
|
||||
"acc_norm_stderr": 0.013586619219903324
|
||||
},
|
||||
"harness|hendrycksTest-moral_disputes|5": {
|
||||
"acc": 0.7283236994219653,
|
||||
"acc_stderr": 0.023948512905468348,
|
||||
"acc_norm": 0.7283236994219653,
|
||||
"acc_norm_stderr": 0.023948512905468348
|
||||
},
|
||||
"harness|hendrycksTest-moral_scenarios|5": {
|
||||
"acc": 0.36312849162011174,
|
||||
"acc_stderr": 0.016083749986853704,
|
||||
"acc_norm": 0.36312849162011174,
|
||||
"acc_norm_stderr": 0.016083749986853704
|
||||
},
|
||||
"harness|hendrycksTest-nutrition|5": {
|
||||
"acc": 0.7450980392156863,
|
||||
"acc_stderr": 0.02495418432487991,
|
||||
"acc_norm": 0.7450980392156863,
|
||||
"acc_norm_stderr": 0.02495418432487991
|
||||
},
|
||||
"harness|hendrycksTest-philosophy|5": {
|
||||
"acc": 0.7202572347266881,
|
||||
"acc_stderr": 0.02549425935069491,
|
||||
"acc_norm": 0.7202572347266881,
|
||||
"acc_norm_stderr": 0.02549425935069491
|
||||
},
|
||||
"harness|hendrycksTest-prehistory|5": {
|
||||
"acc": 0.7530864197530864,
|
||||
"acc_stderr": 0.023993501709042114,
|
||||
"acc_norm": 0.7530864197530864,
|
||||
"acc_norm_stderr": 0.023993501709042114
|
||||
},
|
||||
"harness|hendrycksTest-professional_accounting|5": {
|
||||
"acc": 0.4787234042553192,
|
||||
"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|
|
||||
|
||||
26
config.json
Normal file
26
config.json
Normal file
@@ -0,0 +1,26 @@
|
||||
{
|
||||
"_name_or_path": "fblgit/UNA-TheBeagle-7b-v1",
|
||||
"architectures": [
|
||||
"MistralForCausalLM"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 14336,
|
||||
"max_position_embeddings": 32768,
|
||||
"model_type": "mistral",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 64,
|
||||
"num_key_value_heads": 8,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_theta": 10000.0,
|
||||
"sliding_window": 4096,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.37.2",
|
||||
"use_cache": false,
|
||||
"vocab_size": 32000
|
||||
}
|
||||
3
model-00001-of-00008.safetensors
Normal file
3
model-00001-of-00008.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:00975ce199f73bb6bfb0d97afd7a0df4406a6bb4d068704479880084a5f98482
|
||||
size 3976349152
|
||||
3
model-00002-of-00008.safetensors
Normal file
3
model-00002-of-00008.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e907d4dac09f432a5025d6afdd008ee8ee9aad60a9eb34e813a1c8c99f948596
|
||||
size 3959588240
|
||||
3
model-00003-of-00008.safetensors
Normal file
3
model-00003-of-00008.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:fa6562ec0424e75f4bda5f8c49ea3450b14eaaca4962954607ead61ba27898d6
|
||||
size 3986817432
|
||||
3
model-00004-of-00008.safetensors
Normal file
3
model-00004-of-00008.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:81ec7d105b12ca706d022d33464414abc9bf96e949d11bc216c930be4de4c88e
|
||||
size 3976357448
|
||||
3
model-00005-of-00008.safetensors
Normal file
3
model-00005-of-00008.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3ace0da4b324ad4b3fd664ca1a7e45eb8c5ce5a8ce6934e2552263cf9d56779f
|
||||
size 3959588296
|
||||
3
model-00006-of-00008.safetensors
Normal file
3
model-00006-of-00008.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:350022ee6c84e6b757afe6ae51357e9ded605c864c46ad0eb11db69eed928474
|
||||
size 3926025448
|
||||
3
model-00007-of-00008.safetensors
Normal file
3
model-00007-of-00008.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c672313ef493b508db6caae40ed3a195520ba867079a5786514c328a2fa74726
|
||||
size 3986850664
|
||||
3
model-00008-of-00008.safetensors
Normal file
3
model-00008-of-00008.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:69fda7a4310cc2de424153e1ad69d2e109c239ab9c6615ae5af6c680d7003d08
|
||||
size 671122920
|
||||
1
model.safetensors.index.json
Normal file
1
model.safetensors.index.json
Normal file
File diff suppressed because one or more lines are too long
35
special_tokens_map.json
Normal file
35
special_tokens_map.json
Normal file
@@ -0,0 +1,35 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<unk>",
|
||||
"<s>",
|
||||
"</s>"
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
48
tokenizer_config.json
Normal file
48
tokenizer_config.json
Normal file
@@ -0,0 +1,48 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<unk>",
|
||||
"<s>",
|
||||
"</s>"
|
||||
],
|
||||
"bos_token": "<s>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "</s>",
|
||||
"padding_side": "left",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user