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Model: PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0 Source: Original Platform
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README.md
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---
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language:
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- en
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- ko
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license: cc-by-nc-sa-4.0
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pipeline_tag: text-generation
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base_model:
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- upstage/SOLAR-10.7B-v1.0
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- Yhyu13/LMCocktail-10.7B-v1
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model-index:
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- name: SOLAR-tail-10.7B-Merge-v1.0
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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: 66.13
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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=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
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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: 86.54
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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=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
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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: 66.52
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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=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
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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: 60.57
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
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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: 84.77
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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=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
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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: 65.58
|
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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=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0
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name: Open LLM Leaderboard
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---
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# **SOLAR-tail-10.7B-Merge-v1.0**
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## Model Details
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**Model Developers** Kyujin Han (kyujinpy)
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**Method**
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Using [Mergekit](https://github.com/cg123/mergekit).
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- [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0)
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- [Yhyu13/LMCocktail-10.7B-v1](Yhyu13/LMCocktail-10.7B-v1)
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**Merge config**
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```
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slices:
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- sources:
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- model: upstage/SOLAR-10.7B-v1.0
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layer_range: [0, 48]
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- model: Yhyu13/LMCocktail-10.7B-v1
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layer_range: [0, 48]
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merge_method: slerp
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base_model: upstage/SOLAR-10.7B-v1.0
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5 # fallback for rest of tensors
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tokenizer_source: union
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dtype: float16
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```
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# **Model Benchmark**
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## Open Ko leaderboard
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- Follow up as [Ko-link](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard).
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| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Ko-CommonGenV2 |
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| --- | --- | --- | --- | --- | --- | --- |
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| PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0 | 48.32 | 45.73 | 56.97 | 38.77 | 38.75 | 61.16 |
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| jjourney1125/M-SOLAR-10.7B-v1.0 | 55.15 | 49.57 | 60.12 | 54.60 | 49.23 | 62.22 |
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- Follow up as [En-link](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
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| --- | --- | --- | --- | --- | --- | --- | --- |
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| PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0 | 71.68 | 66.13 | 86.54 | **66.52** | 60.57 | **84.77** | **65.58** |
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| kyujinpy/Sakura-SOLAR-Instruct | **74.40** | **70.99** | **88.42** | 66.33 | **71.79** | 83.66 | 65.20 |
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## lm-evaluation-harness
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```
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gpt2 (pretrained=PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0), limit: None, provide_description: False, num_fewshot: 0, batch_size: None
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| Task |Version| Metric |Value | |Stderr|
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|----------------|------:|--------|-----:|---|-----:|
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|kobest_boolq | 0|acc |0.5021|± |0.0133|
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| | |macro_f1|0.3343|± |0.0059|
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|kobest_copa | 0|acc |0.6220|± |0.0153|
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| | |macro_f1|0.6217|± |0.0154|
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|kobest_hellaswag| 0|acc |0.4380|± |0.0222|
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| | |acc_norm|0.5380|± |0.0223|
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| | |macro_f1|0.4366|± |0.0222|
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|kobest_sentineg | 0|acc |0.4962|± |0.0251|
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| | |macro_f1|0.3316|± |0.0113|
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```
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# Implementation Code
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```python
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### KO-Platypus
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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repo = "PracticeLLM/SOLAR-tail-10.7B-Merge-v1.0"
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OpenOrca = AutoModelForCausalLM.from_pretrained(
|
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repo,
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return_dict=True,
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torch_dtype=torch.float16,
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device_map='auto'
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)
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OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
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```
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---
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_PracticeLLM__SOLAR-tail-10.7B-Merge-v1.0)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |71.68|
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|AI2 Reasoning Challenge (25-Shot)|66.13|
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|HellaSwag (10-Shot) |86.54|
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|MMLU (5-Shot) |66.52|
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|TruthfulQA (0-shot) |60.57|
|
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|Winogrande (5-shot) |84.77|
|
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|GSM8k (5-shot) |65.58|
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config.json
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{
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"_name_or_path": "./SOLAR-tail-10.7B",
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"architectures": [
|
||||
"LlamaForCausalLM"
|
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],
|
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"attention_bias": false,
|
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"attention_dropout": 0.0,
|
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"bos_token_id": 1,
|
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"eos_token_id": 2,
|
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"hidden_act": "silu",
|
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"hidden_size": 4096,
|
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"initializer_range": 0.02,
|
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"intermediate_size": 14336,
|
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"max_position_embeddings": 4096,
|
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"model_type": "llama",
|
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"num_attention_heads": 32,
|
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
|
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"pretraining_tp": 1,
|
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"rms_norm_eps": 1e-05,
|
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"rope_scaling": null,
|
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"rope_theta": 10000.0,
|
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"tie_word_embeddings": false,
|
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"torch_dtype": "float16",
|
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"transformers_version": "4.36.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.norm.weight": "model-00005-of-00005.safetensors"
|
||||
}
|
||||
}
|
||||
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": true
|
||||
}
|
||||
Reference in New Issue
Block a user