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--- |
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license: llama2 |
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tags: |
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- merge |
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- mergekit |
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model-index: |
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- name: llama-2-26b-trenchcoat-stack |
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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: 55.03 |
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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=chargoddard/llama-2-26b-trenchcoat-stack |
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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: 79.9 |
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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=chargoddard/llama-2-26b-trenchcoat-stack |
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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: 53.73 |
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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=chargoddard/llama-2-26b-trenchcoat-stack |
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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: 40.48 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/llama-2-26b-trenchcoat-stack |
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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: 74.74 |
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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=chargoddard/llama-2-26b-trenchcoat-stack |
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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: 2.88 |
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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=chargoddard/llama-2-26b-trenchcoat-stack |
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name: Open LLM Leaderboard |
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--- |
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Llama 2 13b is a pretty decent language model. You know what's probably better? *Two* Llama 2 13b models. In a trenchcoat. |
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Produced by [`bakllama.py`](https://github.com/cg123/mergekit/blob/main/bakllama.py) with this config file: |
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```yml |
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layer_slices: |
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- model: TheBloke/Llama-2-13B-fp16 |
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start: 0 |
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end: 40 |
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- model: TheBloke/Llama-2-13B-fp16 |
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start: 0 |
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end: 40 |
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``` |
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No fine tuning was done on this model. Yes, it's still coherent somehow. |
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Benchmark results: |
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| Benchmark | Llama2-13b | Llama2-26b-tcs | Percent Change | |
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| --- | --- | --- | --- | |
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| ARC | 59.3 | 55.03 | -7.2% | |
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| HellaSwag | 82.15 | 79.9 | -2.74% | |
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| MMLU | 55.67 | 53.73| -3.48% | |
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| TruthfulQA | 37.39 | 40.48 | +5.59% | |
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| Average | 58.63 | 57.29 | -2.29% | |
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| Average Minus TQA | 65.70 | 62.85 | -4.34% | |
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This tells us two very important things: |
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1. TruthfulQA is a perfect benchmark in every way. |
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2. Llama models are amazingly robust to being fed their own output. |
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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_chargoddard__llama-2-26b-trenchcoat-stack) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |51.13| |
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|AI2 Reasoning Challenge (25-Shot)|55.03| |
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|HellaSwag (10-Shot) |79.90| |
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|MMLU (5-Shot) |53.73| |
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|TruthfulQA (0-shot) |40.48| |
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|Winogrande (5-shot) |74.74| |
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|GSM8k (5-shot) | 2.88| |
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