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Model: MaziyarPanahi/TheTop-5x7B-Instruct-S4-v0.1 Source: Original Platform
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516
README.md
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README.md
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---
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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-S4-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: 72.18
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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-S4-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: 88.29
|
||||
name: normalized accuracy
|
||||
source:
|
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-S4-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: 65.03
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-S4-v0.1
|
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name: Open LLM Leaderboard
|
||||
- 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
|
||||
value: 65.56
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-S4-v0.1
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name: Open LLM Leaderboard
|
||||
- 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:
|
||||
- type: acc
|
||||
value: 85.16
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-S4-v0.1
|
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name: Open LLM Leaderboard
|
||||
- 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:
|
||||
- type: acc
|
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value: 73.39
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-S4-v0.1
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name: Open LLM Leaderboard
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---
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Merge of top 7B models and the SLERP of other 7B models
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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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>
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> ## Eval
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```python
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{
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"all": {
|
||||
"acc": 0.6568351479800627,
|
||||
"acc_stderr": 0.03199600851869088,
|
||||
"acc_norm": 0.6554901222242155,
|
||||
"acc_norm_stderr": 0.03267670432184765,
|
||||
"mc1": 0.5104039167686658,
|
||||
"mc1_stderr": 0.017499711430249268,
|
||||
"mc2": 0.6556430108444109,
|
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"mc2_stderr": 0.015519025079862213
|
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},
|
||||
"harness|arc:challenge|25": {
|
||||
"acc": 0.6919795221843004,
|
||||
"acc_stderr": 0.013491429517292038,
|
||||
"acc_norm": 0.7218430034129693,
|
||||
"acc_norm_stderr": 0.013094469919538812
|
||||
},
|
||||
"harness|hellaswag|10": {
|
||||
"acc": 0.7202748456482773,
|
||||
"acc_stderr": 0.0044794676194648,
|
||||
"acc_norm": 0.8828918542123083,
|
||||
"acc_norm_stderr": 0.003208919510309931
|
||||
},
|
||||
"harness|hendrycksTest-abstract_algebra|5": {
|
||||
"acc": 0.33,
|
||||
"acc_stderr": 0.047258156262526045,
|
||||
"acc_norm": 0.33,
|
||||
"acc_norm_stderr": 0.047258156262526045
|
||||
},
|
||||
"harness|hendrycksTest-anatomy|5": {
|
||||
"acc": 0.6518518518518519,
|
||||
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|
||||
"acc_norm": 0.6518518518518519,
|
||||
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|
||||
},
|
||||
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|
||||
"acc": 0.7039473684210527,
|
||||
"acc_stderr": 0.03715062154998904,
|
||||
"acc_norm": 0.7039473684210527,
|
||||
"acc_norm_stderr": 0.03715062154998904
|
||||
},
|
||||
"harness|hendrycksTest-business_ethics|5": {
|
||||
"acc": 0.66,
|
||||
"acc_stderr": 0.04760952285695238,
|
||||
"acc_norm": 0.66,
|
||||
"acc_norm_stderr": 0.04760952285695238
|
||||
},
|
||||
"harness|hendrycksTest-clinical_knowledge|5": {
|
||||
"acc": 0.6981132075471698,
|
||||
"acc_stderr": 0.02825420034443866,
|
||||
"acc_norm": 0.6981132075471698,
|
||||
"acc_norm_stderr": 0.02825420034443866
|
||||
},
|
||||
"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": 0.52,
|
||||
"acc_stderr": 0.050211673156867795,
|
||||
"acc_norm": 0.52,
|
||||
"acc_norm_stderr": 0.050211673156867795
|
||||
},
|
||||
"harness|hendrycksTest-college_mathematics|5": {
|
||||
"acc": 0.27,
|
||||
"acc_stderr": 0.044619604333847394,
|
||||
"acc_norm": 0.27,
|
||||
"acc_norm_stderr": 0.044619604333847394
|
||||
},
|
||||
"harness|hendrycksTest-college_medicine|5": {
|
||||
"acc": 0.6705202312138728,
|
||||
"acc_stderr": 0.03583901754736412,
|
||||
"acc_norm": 0.6705202312138728,
|
||||
"acc_norm_stderr": 0.03583901754736412
|
||||
},
|
||||
"harness|hendrycksTest-college_physics|5": {
|
||||
"acc": 0.4019607843137255,
|
||||
"acc_stderr": 0.04878608714466996,
|
||||
"acc_norm": 0.4019607843137255,
|
||||
"acc_norm_stderr": 0.04878608714466996
|
||||
},
|
||||
"harness|hendrycksTest-computer_security|5": {
|
||||
"acc": 0.75,
|
||||
"acc_stderr": 0.04351941398892446,
|
||||
"acc_norm": 0.75,
|
||||
"acc_norm_stderr": 0.04351941398892446
|
||||
},
|
||||
"harness|hendrycksTest-conceptual_physics|5": {
|
||||
"acc": 0.5914893617021276,
|
||||
"acc_stderr": 0.032134180267015755,
|
||||
"acc_norm": 0.5914893617021276,
|
||||
"acc_norm_stderr": 0.032134180267015755
|
||||
},
|
||||
"harness|hendrycksTest-econometrics|5": {
|
||||
"acc": 0.5087719298245614,
|
||||
"acc_stderr": 0.04702880432049615,
|
||||
"acc_norm": 0.5087719298245614,
|
||||
"acc_norm_stderr": 0.04702880432049615
|
||||
},
|
||||
"harness|hendrycksTest-electrical_engineering|5": {
|
||||
"acc": 0.5724137931034483,
|
||||
"acc_stderr": 0.04122737111370332,
|
||||
"acc_norm": 0.5724137931034483,
|
||||
"acc_norm_stderr": 0.04122737111370332
|
||||
},
|
||||
"harness|hendrycksTest-elementary_mathematics|5": {
|
||||
"acc": 0.42592592592592593,
|
||||
"acc_stderr": 0.02546714904546955,
|
||||
"acc_norm": 0.42592592592592593,
|
||||
"acc_norm_stderr": 0.02546714904546955
|
||||
},
|
||||
"harness|hendrycksTest-formal_logic|5": {
|
||||
"acc": 0.49206349206349204,
|
||||
"acc_stderr": 0.044715725362943486,
|
||||
"acc_norm": 0.49206349206349204,
|
||||
"acc_norm_stderr": 0.044715725362943486
|
||||
},
|
||||
"harness|hendrycksTest-global_facts|5": {
|
||||
"acc": 0.37,
|
||||
"acc_stderr": 0.04852365870939099,
|
||||
"acc_norm": 0.37,
|
||||
"acc_norm_stderr": 0.04852365870939099
|
||||
},
|
||||
"harness|hendrycksTest-high_school_biology|5": {
|
||||
"acc": 0.7903225806451613,
|
||||
"acc_stderr": 0.023157879349083525,
|
||||
"acc_norm": 0.7903225806451613,
|
||||
"acc_norm_stderr": 0.023157879349083525
|
||||
},
|
||||
"harness|hendrycksTest-high_school_chemistry|5": {
|
||||
"acc": 0.5073891625615764,
|
||||
"acc_stderr": 0.035176035403610105,
|
||||
"acc_norm": 0.5073891625615764,
|
||||
"acc_norm_stderr": 0.035176035403610105
|
||||
},
|
||||
"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": 0.7757575757575758,
|
||||
"acc_stderr": 0.03256866661681102,
|
||||
"acc_norm": 0.7757575757575758,
|
||||
"acc_norm_stderr": 0.03256866661681102
|
||||
},
|
||||
"harness|hendrycksTest-high_school_geography|5": {
|
||||
"acc": 0.7929292929292929,
|
||||
"acc_stderr": 0.028869778460267045,
|
||||
"acc_norm": 0.7929292929292929,
|
||||
"acc_norm_stderr": 0.028869778460267045
|
||||
},
|
||||
"harness|hendrycksTest-high_school_government_and_politics|5": {
|
||||
"acc": 0.9067357512953368,
|
||||
"acc_stderr": 0.020986854593289733,
|
||||
"acc_norm": 0.9067357512953368,
|
||||
"acc_norm_stderr": 0.020986854593289733
|
||||
},
|
||||
"harness|hendrycksTest-high_school_macroeconomics|5": {
|
||||
"acc": 0.6666666666666666,
|
||||
"acc_stderr": 0.023901157979402534,
|
||||
"acc_norm": 0.6666666666666666,
|
||||
"acc_norm_stderr": 0.023901157979402534
|
||||
},
|
||||
"harness|hendrycksTest-high_school_mathematics|5": {
|
||||
"acc": 0.34814814814814815,
|
||||
"acc_stderr": 0.02904560029061625,
|
||||
"acc_norm": 0.34814814814814815,
|
||||
"acc_norm_stderr": 0.02904560029061625
|
||||
},
|
||||
"harness|hendrycksTest-high_school_microeconomics|5": {
|
||||
"acc": 0.6764705882352942,
|
||||
"acc_stderr": 0.030388353551886793,
|
||||
"acc_norm": 0.6764705882352942,
|
||||
"acc_norm_stderr": 0.030388353551886793
|
||||
},
|
||||
"harness|hendrycksTest-high_school_physics|5": {
|
||||
"acc": 0.36423841059602646,
|
||||
"acc_stderr": 0.03929111781242742,
|
||||
"acc_norm": 0.36423841059602646,
|
||||
"acc_norm_stderr": 0.03929111781242742
|
||||
},
|
||||
"harness|hendrycksTest-high_school_psychology|5": {
|
||||
"acc": 0.8366972477064221,
|
||||
"acc_stderr": 0.01584825580650155,
|
||||
"acc_norm": 0.8366972477064221,
|
||||
"acc_norm_stderr": 0.01584825580650155
|
||||
},
|
||||
"harness|hendrycksTest-high_school_statistics|5": {
|
||||
"acc": 0.5046296296296297,
|
||||
"acc_stderr": 0.03409825519163572,
|
||||
"acc_norm": 0.5046296296296297,
|
||||
"acc_norm_stderr": 0.03409825519163572
|
||||
},
|
||||
"harness|hendrycksTest-high_school_us_history|5": {
|
||||
"acc": 0.8529411764705882,
|
||||
"acc_stderr": 0.024857478080250447,
|
||||
"acc_norm": 0.8529411764705882,
|
||||
"acc_norm_stderr": 0.024857478080250447
|
||||
},
|
||||
"harness|hendrycksTest-high_school_world_history|5": {
|
||||
"acc": 0.8143459915611815,
|
||||
"acc_stderr": 0.025310495376944856,
|
||||
"acc_norm": 0.8143459915611815,
|
||||
"acc_norm_stderr": 0.025310495376944856
|
||||
},
|
||||
"harness|hendrycksTest-human_aging|5": {
|
||||
"acc": 0.6816143497757847,
|
||||
"acc_stderr": 0.03126580522513713,
|
||||
"acc_norm": 0.6816143497757847,
|
||||
"acc_norm_stderr": 0.03126580522513713
|
||||
},
|
||||
"harness|hendrycksTest-human_sexuality|5": {
|
||||
"acc": 0.7862595419847328,
|
||||
"acc_stderr": 0.0359546161177469,
|
||||
"acc_norm": 0.7862595419847328,
|
||||
"acc_norm_stderr": 0.0359546161177469
|
||||
},
|
||||
"harness|hendrycksTest-international_law|5": {
|
||||
"acc": 0.7933884297520661,
|
||||
"acc_stderr": 0.03695980128098824,
|
||||
"acc_norm": 0.7933884297520661,
|
||||
"acc_norm_stderr": 0.03695980128098824
|
||||
},
|
||||
"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": 0.7730061349693251,
|
||||
"acc_stderr": 0.03291099578615769,
|
||||
"acc_norm": 0.7730061349693251,
|
||||
"acc_norm_stderr": 0.03291099578615769
|
||||
},
|
||||
"harness|hendrycksTest-machine_learning|5": {
|
||||
"acc": 0.48214285714285715,
|
||||
"acc_stderr": 0.047427623612430116,
|
||||
"acc_norm": 0.48214285714285715,
|
||||
"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": 0.8803418803418803,
|
||||
"acc_stderr": 0.021262719400406974,
|
||||
"acc_norm": 0.8803418803418803,
|
||||
"acc_norm_stderr": 0.021262719400406974
|
||||
},
|
||||
"harness|hendrycksTest-medical_genetics|5": {
|
||||
"acc": 0.73,
|
||||
"acc_stderr": 0.0446196043338474,
|
||||
"acc_norm": 0.73,
|
||||
"acc_norm_stderr": 0.0446196043338474
|
||||
},
|
||||
"harness|hendrycksTest-miscellaneous|5": {
|
||||
"acc": 0.8275862068965517,
|
||||
"acc_stderr": 0.013507943909371802,
|
||||
"acc_norm": 0.8275862068965517,
|
||||
"acc_norm_stderr": 0.013507943909371802
|
||||
},
|
||||
"harness|hendrycksTest-moral_disputes|5": {
|
||||
"acc": 0.7543352601156069,
|
||||
"acc_stderr": 0.023176298203992005,
|
||||
"acc_norm": 0.7543352601156069,
|
||||
"acc_norm_stderr": 0.023176298203992005
|
||||
},
|
||||
"harness|hendrycksTest-moral_scenarios|5": {
|
||||
"acc": 0.45027932960893857,
|
||||
"acc_stderr": 0.01663961523684581,
|
||||
"acc_norm": 0.45027932960893857,
|
||||
"acc_norm_stderr": 0.01663961523684581
|
||||
},
|
||||
"harness|hendrycksTest-nutrition|5": {
|
||||
"acc": 0.7254901960784313,
|
||||
"acc_stderr": 0.02555316999182652,
|
||||
"acc_norm": 0.7254901960784313,
|
||||
"acc_norm_stderr": 0.02555316999182652
|
||||
},
|
||||
"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": 0.7561728395061729,
|
||||
"acc_stderr": 0.02389187954195961,
|
||||
"acc_norm": 0.7561728395061729,
|
||||
"acc_norm_stderr": 0.02389187954195961
|
||||
},
|
||||
"harness|hendrycksTest-professional_accounting|5": {
|
||||
"acc": 0.46808510638297873,
|
||||
"acc_stderr": 0.029766675075873866,
|
||||
"acc_norm": 0.46808510638297873,
|
||||
"acc_norm_stderr": 0.029766675075873866
|
||||
},
|
||||
"harness|hendrycksTest-professional_law|5": {
|
||||
"acc": 0.4745762711864407,
|
||||
"acc_stderr": 0.012753716929101004,
|
||||
"acc_norm": 0.4745762711864407,
|
||||
"acc_norm_stderr": 0.012753716929101004
|
||||
},
|
||||
"harness|hendrycksTest-professional_medicine|5": {
|
||||
"acc": 0.6911764705882353,
|
||||
"acc_stderr": 0.02806499816704009,
|
||||
"acc_norm": 0.6911764705882353,
|
||||
"acc_norm_stderr": 0.02806499816704009
|
||||
},
|
||||
"harness|hendrycksTest-professional_psychology|5": {
|
||||
"acc": 0.6748366013071896,
|
||||
"acc_stderr": 0.01895088677080631,
|
||||
"acc_norm": 0.6748366013071896,
|
||||
"acc_norm_stderr": 0.01895088677080631
|
||||
},
|
||||
"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": 0.7346938775510204,
|
||||
"acc_stderr": 0.028263889943784603,
|
||||
"acc_norm": 0.7346938775510204,
|
||||
"acc_norm_stderr": 0.028263889943784603
|
||||
},
|
||||
"harness|hendrycksTest-sociology|5": {
|
||||
"acc": 0.8258706467661692,
|
||||
"acc_stderr": 0.026814951200421603,
|
||||
"acc_norm": 0.8258706467661692,
|
||||
"acc_norm_stderr": 0.026814951200421603
|
||||
},
|
||||
"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": 0.5602409638554217,
|
||||
"acc_stderr": 0.03864139923699122,
|
||||
"acc_norm": 0.5602409638554217,
|
||||
"acc_norm_stderr": 0.03864139923699122
|
||||
},
|
||||
"harness|hendrycksTest-world_religions|5": {
|
||||
"acc": 0.8421052631578947,
|
||||
"acc_stderr": 0.027966785859160893,
|
||||
"acc_norm": 0.8421052631578947,
|
||||
"acc_norm_stderr": 0.027966785859160893
|
||||
},
|
||||
"harness|truthfulqa:mc|0": {
|
||||
"mc1": 0.5104039167686658,
|
||||
"mc1_stderr": 0.017499711430249268,
|
||||
"mc2": 0.6556430108444109,
|
||||
"mc2_stderr": 0.015519025079862213
|
||||
},
|
||||
"harness|winogrande|5": {
|
||||
"acc": 0.8516179952644041,
|
||||
"acc_stderr": 0.009990706005184136
|
||||
},
|
||||
"harness|gsm8k|5": {
|
||||
"acc": 0.7338893100833965,
|
||||
"acc_stderr": 0.012172750939040328
|
||||
}
|
||||
}
|
||||
```
|
||||
# [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-S4-v0.1)
|
||||
|
||||
| Metric |Value|
|
||||
|---------------------------------|----:|
|
||||
|Avg. |74.94|
|
||||
|AI2 Reasoning Challenge (25-Shot)|72.18|
|
||||
|HellaSwag (10-Shot) |88.29|
|
||||
|MMLU (5-Shot) |65.03|
|
||||
|TruthfulQA (0-shot) |65.56|
|
||||
|Winogrande (5-shot) |85.16|
|
||||
|GSM8k (5-shot) |73.39|
|
||||
|
||||
26
config.json
Normal file
26
config.json
Normal file
@@ -0,0 +1,26 @@
|
||||
{
|
||||
"_name_or_path": "MaziyarPanahi/TheTop-5x7B-Instruct-S3-v0.1",
|
||||
"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": 32,
|
||||
"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": true,
|
||||
"vocab_size": 32000
|
||||
}
|
||||
3
model-00001-of-00004.safetensors
Normal file
3
model-00001-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:00c5c42805ad677d53a99f4c55498fbdce4f7d05ccd6761ed7d9784e234b75ad
|
||||
size 3976349152
|
||||
3
model-00002-of-00004.safetensors
Normal file
3
model-00002-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f59f328d8eeb167044c54d6a7908a0e54cff2ac1231da54737a5f7198952b5e2
|
||||
size 3959588240
|
||||
3
model-00003-of-00004.safetensors
Normal file
3
model-00003-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:57886072bbf2cb17d34dfb52ebc8026b825a5567a1f868e88db48145a4466a39
|
||||
size 3980534008
|
||||
3
model-00004-of-00004.safetensors
Normal file
3
model-00004-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:756c6d06fe55661b725ecac355007b85db0dc7497e036c97f22186320d063f1b
|
||||
size 2567026600
|
||||
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
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"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
|
||||
},
|
||||
"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.
42
tokenizer_config.json
Normal file
42
tokenizer_config.json
Normal file
@@ -0,0 +1,42 @@
|
||||
{
|
||||
"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": [],
|
||||
"bos_token": "<s>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user