140 lines
3.7 KiB
Markdown
140 lines
3.7 KiB
Markdown
---
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license: other
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license_name: yi-license
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license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
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base_model: jondurbin/bagel-34b-v0.2
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model-index:
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- name: Luminex-32B-v0.2
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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: 74.49
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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=ConvexAI/Luminex-32B-v0.2
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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: 86.76
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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=ConvexAI/Luminex-32B-v0.2
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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: 76.55
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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=ConvexAI/Luminex-32B-v0.2
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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: 70.21
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ConvexAI/Luminex-32B-v0.2
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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: 83.27
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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=ConvexAI/Luminex-32B-v0.2
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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: 71.87
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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=ConvexAI/Luminex-32B-v0.2
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name: Open LLM Leaderboard
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---
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# ConvexAI/Luminex-34B-v0.2
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This model is [SimpleSmaug-34b](https://huggingface.co/fblgit/UNA-SimpleSmaug-34b-v1beta) with LaserRMT applied.
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[Join our Discord!](https://discord.gg/rJXGjmxqzS)
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### Evaluation Results
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Coming Soon
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### Contamination Results
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Coming Soon
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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_ConvexAI__Luminex-32B-v0.2)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |77.19|
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|AI2 Reasoning Challenge (25-Shot)|74.49|
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|HellaSwag (10-Shot) |86.76|
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|MMLU (5-Shot) |76.55|
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|TruthfulQA (0-shot) |70.21|
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|Winogrande (5-shot) |83.27|
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|GSM8k (5-shot) |71.87|
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