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Model: lex-hue/Delexa-7b Source: Original Platform
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README.md
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README.md
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---
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inference: true
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language:
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- en
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- de
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license: apache-2.0
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model-index:
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- name: Delexa-7b
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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: 68.0
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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=lex-hue/Delexa-7b
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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: 86.49
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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=lex-hue/Delexa-7b
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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: 64.69
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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=lex-hue/Delexa-7b
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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: 62.13
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lex-hue/Delexa-7b
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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: 79.08
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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=lex-hue/Delexa-7b
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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: 64.75
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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=lex-hue/Delexa-7b
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name: Open LLM Leaderboard
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---
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# Model Card
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### Model Name: Delexa-7b
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#### Overview:
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**Purpose:** Delexa-7b is our newest large language model designed for general-purpose language tasks. It's currently under development, with ongoing improvements and testing.
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**Status:** Active development and refinement. More comprehensive evaluation results will be available soon.
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**Skills:** Initial evaluations show Delexa-7b performing exceptionally well on general tasks from llm-judge.
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**Guardrails** This Model allows 18+ content and lewd content, but it wont let any illegal content through (unless you jailbreak it)
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**Evaluation:** Preliminary results from llm-judge are extremely promising. Delexa-7b demonstrates strong performance, with the potential to surpass established models. Stay tuned for more detailed evaluations!
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| model | first turn score | second turn score | average score |
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|-----------------------|------------------|-------------------|---------------|
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| gpt-4 | 8.95625 | 9.0250 | 8.990625 |
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| **Delexa-7b** | **8.70000** | 7.5875 | **8.143750** |
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| gpt-3.5-turbo | 8.07500 | 7.8125 | 7.943750 |
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| claude-v1 | 8.15000 | 7.6500 | 7.900000 |
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| palm-2-chat-bison-001 | 6.71250 | 6.0875 | 6.400000 |
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| vicuna-13b-v1.3 | 6.81250 | 5.9625 | 6.387500 |
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**Intended Use:**
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* Exploring the capabilities of new language models.
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* Experimentation and learning for AI development enthusiasts.
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* Potential applications in areas where STEM reasoning is essential.
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**Potential Risks:**
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* Like other uncensored large language models, Delexa-7b could and will generate harmful, biased, or offensive content if asked to. Responsible use and careful monitoring are essential if this model goes into production for your Business.
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**Ethical Considerations**
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* Delexa-7b is in the early stages of development. We are committed to ongoing evaluation to identify potential biases and address them proactively.
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* Updates to this model card will ensure transparency as Delexa-7b evolves.
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### Additional Notes
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Delexa-7b represents an exciting development with the potential to deliver impressive results. We invite the community to explore its capabilities and provide feedback as we continue to refine it.
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We were impressed by the Evaluation Train results for our algorithm. It showed strong performance gains despite using only 30% of our usual training data. We're excited to train it on the complete dataset.
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### Support Our Work and join our Community!:
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[Our Patreon](https://patreon.com/Lex_Hue?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink)
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[Our Twitter](https://twitter.com/lex_hue)
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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_lex-hue__Delexa-7b)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |70.86|
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|AI2 Reasoning Challenge (25-Shot)|68.00|
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|HellaSwag (10-Shot) |86.49|
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|MMLU (5-Shot) |64.69|
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|TruthfulQA (0-shot) |62.13|
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|Winogrande (5-shot) |79.08|
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|GSM8k (5-shot) |64.75|
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