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Model: MaziyarPanahi/TheTop-5x7B-Instruct-T-v0.1 Source: Original Platform
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515
README.md
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515
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-T-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: 73.63
|
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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-T-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: 88.85
|
||||
name: normalized accuracy
|
||||
source:
|
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-T-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
|
||||
value: 64.22
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-T-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
|
||||
value: 70.78
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-T-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: 85.79
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-T-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:
|
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- type: acc
|
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value: 66.49
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-T-v0.1
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name: Open LLM Leaderboard
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---
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Merge of top 7B models with TIES 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": {
|
||||
"acc": 0.6487801278765712,
|
||||
"acc_stderr": 0.03219011246717665,
|
||||
"acc_norm": 0.6479445077777353,
|
||||
"acc_norm_stderr": 0.032868022907407396,
|
||||
"mc1": 0.5862913096695227,
|
||||
"mc1_stderr": 0.0172408618120998,
|
||||
"mc2": 0.7078078883926877,
|
||||
"mc2_stderr": 0.015097515102384168
|
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},
|
||||
"harness|arc:challenge|25": {
|
||||
"acc": 0.7167235494880546,
|
||||
"acc_stderr": 0.013167478735134575,
|
||||
"acc_norm": 0.7363481228668942,
|
||||
"acc_norm_stderr": 0.012875929151297044
|
||||
},
|
||||
"harness|hellaswag|10": {
|
||||
"acc": 0.7321250746863175,
|
||||
"acc_stderr": 0.004419469983939178,
|
||||
"acc_norm": 0.8884684325831508,
|
||||
"acc_norm_stderr": 0.0031414591751392717
|
||||
},
|
||||
"harness|hendrycksTest-abstract_algebra|5": {
|
||||
"acc": 0.31,
|
||||
"acc_stderr": 0.04648231987117316,
|
||||
"acc_norm": 0.31,
|
||||
"acc_norm_stderr": 0.04648231987117316
|
||||
},
|
||||
"harness|hendrycksTest-anatomy|5": {
|
||||
"acc": 0.6518518518518519,
|
||||
"acc_stderr": 0.041153246103369526,
|
||||
"acc_norm": 0.6518518518518519,
|
||||
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|
||||
},
|
||||
"harness|hendrycksTest-astronomy|5": {
|
||||
"acc": 0.7039473684210527,
|
||||
"acc_stderr": 0.03715062154998904,
|
||||
"acc_norm": 0.7039473684210527,
|
||||
"acc_norm_stderr": 0.03715062154998904
|
||||
},
|
||||
"harness|hendrycksTest-business_ethics|5": {
|
||||
"acc": 0.61,
|
||||
"acc_stderr": 0.04902071300001975,
|
||||
"acc_norm": 0.61,
|
||||
"acc_norm_stderr": 0.04902071300001975
|
||||
},
|
||||
"harness|hendrycksTest-clinical_knowledge|5": {
|
||||
"acc": 0.7132075471698113,
|
||||
"acc_stderr": 0.02783491252754407,
|
||||
"acc_norm": 0.7132075471698113,
|
||||
"acc_norm_stderr": 0.02783491252754407
|
||||
},
|
||||
"harness|hendrycksTest-college_biology|5": {
|
||||
"acc": 0.75,
|
||||
"acc_stderr": 0.03621034121889507,
|
||||
"acc_norm": 0.75,
|
||||
"acc_norm_stderr": 0.03621034121889507
|
||||
},
|
||||
"harness|hendrycksTest-college_chemistry|5": {
|
||||
"acc": 0.46,
|
||||
"acc_stderr": 0.05009082659620333,
|
||||
"acc_norm": 0.46,
|
||||
"acc_norm_stderr": 0.05009082659620333
|
||||
},
|
||||
"harness|hendrycksTest-college_computer_science|5": {
|
||||
"acc": 0.55,
|
||||
"acc_stderr": 0.05,
|
||||
"acc_norm": 0.55,
|
||||
"acc_norm_stderr": 0.05
|
||||
},
|
||||
"harness|hendrycksTest-college_mathematics|5": {
|
||||
"acc": 0.3,
|
||||
"acc_stderr": 0.046056618647183814,
|
||||
"acc_norm": 0.3,
|
||||
"acc_norm_stderr": 0.046056618647183814
|
||||
},
|
||||
"harness|hendrycksTest-college_medicine|5": {
|
||||
"acc": 0.6589595375722543,
|
||||
"acc_stderr": 0.036146654241808254,
|
||||
"acc_norm": 0.6589595375722543,
|
||||
"acc_norm_stderr": 0.036146654241808254
|
||||
},
|
||||
"harness|hendrycksTest-college_physics|5": {
|
||||
"acc": 0.43137254901960786,
|
||||
"acc_stderr": 0.04928099597287534,
|
||||
"acc_norm": 0.43137254901960786,
|
||||
"acc_norm_stderr": 0.04928099597287534
|
||||
},
|
||||
"harness|hendrycksTest-computer_security|5": {
|
||||
"acc": 0.77,
|
||||
"acc_stderr": 0.04229525846816506,
|
||||
"acc_norm": 0.77,
|
||||
"acc_norm_stderr": 0.04229525846816506
|
||||
},
|
||||
"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": 0.49122807017543857,
|
||||
"acc_stderr": 0.04702880432049615,
|
||||
"acc_norm": 0.49122807017543857,
|
||||
"acc_norm_stderr": 0.04702880432049615
|
||||
},
|
||||
"harness|hendrycksTest-electrical_engineering|5": {
|
||||
"acc": 0.5517241379310345,
|
||||
"acc_stderr": 0.04144311810878152,
|
||||
"acc_norm": 0.5517241379310345,
|
||||
"acc_norm_stderr": 0.04144311810878152
|
||||
},
|
||||
"harness|hendrycksTest-elementary_mathematics|5": {
|
||||
"acc": 0.4126984126984127,
|
||||
"acc_stderr": 0.025355741263055277,
|
||||
"acc_norm": 0.4126984126984127,
|
||||
"acc_norm_stderr": 0.025355741263055277
|
||||
},
|
||||
"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": 0.35,
|
||||
"acc_stderr": 0.047937248544110196,
|
||||
"acc_norm": 0.35,
|
||||
"acc_norm_stderr": 0.047937248544110196
|
||||
},
|
||||
"harness|hendrycksTest-high_school_biology|5": {
|
||||
"acc": 0.7967741935483871,
|
||||
"acc_stderr": 0.02289168798455496,
|
||||
"acc_norm": 0.7967741935483871,
|
||||
"acc_norm_stderr": 0.02289168798455496
|
||||
},
|
||||
"harness|hendrycksTest-high_school_chemistry|5": {
|
||||
"acc": 0.5024630541871922,
|
||||
"acc_stderr": 0.035179450386910616,
|
||||
"acc_norm": 0.5024630541871922,
|
||||
"acc_norm_stderr": 0.035179450386910616
|
||||
},
|
||||
"harness|hendrycksTest-high_school_computer_science|5": {
|
||||
"acc": 0.7,
|
||||
"acc_stderr": 0.046056618647183814,
|
||||
"acc_norm": 0.7,
|
||||
"acc_norm_stderr": 0.046056618647183814
|
||||
},
|
||||
"harness|hendrycksTest-high_school_european_history|5": {
|
||||
"acc": 0.7575757575757576,
|
||||
"acc_stderr": 0.03346409881055953,
|
||||
"acc_norm": 0.7575757575757576,
|
||||
"acc_norm_stderr": 0.03346409881055953
|
||||
},
|
||||
"harness|hendrycksTest-high_school_geography|5": {
|
||||
"acc": 0.803030303030303,
|
||||
"acc_stderr": 0.028335609732463362,
|
||||
"acc_norm": 0.803030303030303,
|
||||
"acc_norm_stderr": 0.028335609732463362
|
||||
},
|
||||
"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": 0.6487179487179487,
|
||||
"acc_stderr": 0.024203665177902803,
|
||||
"acc_norm": 0.6487179487179487,
|
||||
"acc_norm_stderr": 0.024203665177902803
|
||||
},
|
||||
"harness|hendrycksTest-high_school_mathematics|5": {
|
||||
"acc": 0.3333333333333333,
|
||||
"acc_stderr": 0.02874204090394848,
|
||||
"acc_norm": 0.3333333333333333,
|
||||
"acc_norm_stderr": 0.02874204090394848
|
||||
},
|
||||
"harness|hendrycksTest-high_school_microeconomics|5": {
|
||||
"acc": 0.6554621848739496,
|
||||
"acc_stderr": 0.03086868260412162,
|
||||
"acc_norm": 0.6554621848739496,
|
||||
"acc_norm_stderr": 0.03086868260412162
|
||||
},
|
||||
"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": 0.8403669724770643,
|
||||
"acc_stderr": 0.015703498348461763,
|
||||
"acc_norm": 0.8403669724770643,
|
||||
"acc_norm_stderr": 0.015703498348461763
|
||||
},
|
||||
"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": 0.8235294117647058,
|
||||
"acc_stderr": 0.026756401538078962,
|
||||
"acc_norm": 0.8235294117647058,
|
||||
"acc_norm_stderr": 0.026756401538078962
|
||||
},
|
||||
"harness|hendrycksTest-high_school_world_history|5": {
|
||||
"acc": 0.7721518987341772,
|
||||
"acc_stderr": 0.02730348459906944,
|
||||
"acc_norm": 0.7721518987341772,
|
||||
"acc_norm_stderr": 0.02730348459906944
|
||||
},
|
||||
"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": 0.7851239669421488,
|
||||
"acc_stderr": 0.037494924487096966,
|
||||
"acc_norm": 0.7851239669421488,
|
||||
"acc_norm_stderr": 0.037494924487096966
|
||||
},
|
||||
"harness|hendrycksTest-jurisprudence|5": {
|
||||
"acc": 0.7777777777777778,
|
||||
"acc_stderr": 0.0401910747255735,
|
||||
"acc_norm": 0.7777777777777778,
|
||||
"acc_norm_stderr": 0.0401910747255735
|
||||
},
|
||||
"harness|hendrycksTest-logical_fallacies|5": {
|
||||
"acc": 0.7423312883435583,
|
||||
"acc_stderr": 0.03436150827846917,
|
||||
"acc_norm": 0.7423312883435583,
|
||||
"acc_norm_stderr": 0.03436150827846917
|
||||
},
|
||||
"harness|hendrycksTest-machine_learning|5": {
|
||||
"acc": 0.42857142857142855,
|
||||
"acc_stderr": 0.04697113923010212,
|
||||
"acc_norm": 0.42857142857142855,
|
||||
"acc_norm_stderr": 0.04697113923010212
|
||||
},
|
||||
"harness|hendrycksTest-management|5": {
|
||||
"acc": 0.7475728155339806,
|
||||
"acc_stderr": 0.04301250399690878,
|
||||
"acc_norm": 0.7475728155339806,
|
||||
"acc_norm_stderr": 0.04301250399690878
|
||||
},
|
||||
"harness|hendrycksTest-marketing|5": {
|
||||
"acc": 0.8846153846153846,
|
||||
"acc_stderr": 0.02093019318517933,
|
||||
"acc_norm": 0.8846153846153846,
|
||||
"acc_norm_stderr": 0.02093019318517933
|
||||
},
|
||||
"harness|hendrycksTest-medical_genetics|5": {
|
||||
"acc": 0.7,
|
||||
"acc_stderr": 0.046056618647183814,
|
||||
"acc_norm": 0.7,
|
||||
"acc_norm_stderr": 0.046056618647183814
|
||||
},
|
||||
"harness|hendrycksTest-miscellaneous|5": {
|
||||
"acc": 0.80970625798212,
|
||||
"acc_stderr": 0.014036945850381396,
|
||||
"acc_norm": 0.80970625798212,
|
||||
"acc_norm_stderr": 0.014036945850381396
|
||||
},
|
||||
"harness|hendrycksTest-moral_disputes|5": {
|
||||
"acc": 0.7369942196531792,
|
||||
"acc_stderr": 0.023703099525258172,
|
||||
"acc_norm": 0.7369942196531792,
|
||||
"acc_norm_stderr": 0.023703099525258172
|
||||
},
|
||||
"harness|hendrycksTest-moral_scenarios|5": {
|
||||
"acc": 0.47150837988826816,
|
||||
"acc_stderr": 0.016695329746015796,
|
||||
"acc_norm": 0.47150837988826816,
|
||||
"acc_norm_stderr": 0.016695329746015796
|
||||
},
|
||||
"harness|hendrycksTest-nutrition|5": {
|
||||
"acc": 0.7189542483660131,
|
||||
"acc_stderr": 0.025738854797818733,
|
||||
"acc_norm": 0.7189542483660131,
|
||||
"acc_norm_stderr": 0.025738854797818733
|
||||
},
|
||||
"harness|hendrycksTest-philosophy|5": {
|
||||
"acc": 0.7170418006430869,
|
||||
"acc_stderr": 0.025583062489984813,
|
||||
"acc_norm": 0.7170418006430869,
|
||||
"acc_norm_stderr": 0.025583062489984813
|
||||
},
|
||||
"harness|hendrycksTest-prehistory|5": {
|
||||
"acc": 0.7407407407407407,
|
||||
"acc_stderr": 0.024383665531035457,
|
||||
"acc_norm": 0.7407407407407407,
|
||||
"acc_norm_stderr": 0.024383665531035457
|
||||
},
|
||||
"harness|hendrycksTest-professional_accounting|5": {
|
||||
"acc": 0.475177304964539,
|
||||
"acc_stderr": 0.029790719243829727,
|
||||
"acc_norm": 0.475177304964539,
|
||||
"acc_norm_stderr": 0.029790719243829727
|
||||
},
|
||||
"harness|hendrycksTest-professional_law|5": {
|
||||
"acc": 0.470013037809648,
|
||||
"acc_stderr": 0.01274724896707906,
|
||||
"acc_norm": 0.470013037809648,
|
||||
"acc_norm_stderr": 0.01274724896707906
|
||||
},
|
||||
"harness|hendrycksTest-professional_medicine|5": {
|
||||
"acc": 0.6691176470588235,
|
||||
"acc_stderr": 0.028582709753898445,
|
||||
"acc_norm": 0.6691176470588235,
|
||||
"acc_norm_stderr": 0.028582709753898445
|
||||
},
|
||||
"harness|hendrycksTest-professional_psychology|5": {
|
||||
"acc": 0.6584967320261438,
|
||||
"acc_stderr": 0.019184639328092487,
|
||||
"acc_norm": 0.6584967320261438,
|
||||
"acc_norm_stderr": 0.019184639328092487
|
||||
},
|
||||
"harness|hendrycksTest-public_relations|5": {
|
||||
"acc": 0.6818181818181818,
|
||||
"acc_stderr": 0.044612721759105085,
|
||||
"acc_norm": 0.6818181818181818,
|
||||
"acc_norm_stderr": 0.044612721759105085
|
||||
},
|
||||
"harness|hendrycksTest-security_studies|5": {
|
||||
"acc": 0.7306122448979592,
|
||||
"acc_stderr": 0.02840125202902294,
|
||||
"acc_norm": 0.7306122448979592,
|
||||
"acc_norm_stderr": 0.02840125202902294
|
||||
},
|
||||
"harness|hendrycksTest-sociology|5": {
|
||||
"acc": 0.835820895522388,
|
||||
"acc_stderr": 0.026193923544454125,
|
||||
"acc_norm": 0.835820895522388,
|
||||
"acc_norm_stderr": 0.026193923544454125
|
||||
},
|
||||
"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": 0.8245614035087719,
|
||||
"acc_stderr": 0.029170885500727665,
|
||||
"acc_norm": 0.8245614035087719,
|
||||
"acc_norm_stderr": 0.029170885500727665
|
||||
},
|
||||
"harness|truthfulqa:mc|0": {
|
||||
"mc1": 0.5862913096695227,
|
||||
"mc1_stderr": 0.0172408618120998,
|
||||
"mc2": 0.7078078883926877,
|
||||
"mc2_stderr": 0.015097515102384168
|
||||
},
|
||||
"harness|winogrande|5": {
|
||||
"acc": 0.8579321231254933,
|
||||
"acc_stderr": 0.009812000391679367
|
||||
},
|
||||
"harness|gsm8k|5": {
|
||||
"acc": 0.6648976497346475,
|
||||
"acc_stderr": 0.013001948176422954
|
||||
}
|
||||
}
|
||||
```
|
||||
# [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-T-v0.1)
|
||||
|
||||
| Metric |Value|
|
||||
|---------------------------------|----:|
|
||||
|Avg. |74.96|
|
||||
|AI2 Reasoning Challenge (25-Shot)|73.63|
|
||||
|HellaSwag (10-Shot) |88.85|
|
||||
|MMLU (5-Shot) |64.22|
|
||||
|TruthfulQA (0-shot) |70.78|
|
||||
|Winogrande (5-shot) |85.79|
|
||||
|GSM8k (5-shot) |66.49|
|
||||
|
||||
26
config.json
Normal file
26
config.json
Normal file
@@ -0,0 +1,26 @@
|
||||
{
|
||||
"_name_or_path": "OpenPipe/mistral-ft-optimized-1227",
|
||||
"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": "float16",
|
||||
"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 sha256:496313d2902195f181d5ff6e4f801affa00ef6674e5dad66dcbf6a93eebe9ee7
|
||||
size 3926008688
|
||||
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 sha256:1d5d02a99114e09178ed475031d521f6edea507d702fd78feb80ab574cb98255
|
||||
size 3953271600
|
||||
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 sha256:77ef56918ac47e3bbe24ebaaa1431f052deea07462f68e3b285bacd84a9c1e3b
|
||||
size 3986858896
|
||||
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 sha256:60c5c5772a0d6912a1fac49f16279fb68f9ef2bc329068d28c1ebf20c716fdeb
|
||||
size 2617358544
|
||||
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