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Model: mrfakename/NeuralOrca-7B-v1 Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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tags:
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- merge
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model-index:
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- name: NeuralOrca-7B-v1
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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: 65.27
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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=mrfakename/NeuralOrca-7B-v1
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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: 85.07
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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=mrfakename/NeuralOrca-7B-v1
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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: 63.68
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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=mrfakename/NeuralOrca-7B-v1
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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: 54.58
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mrfakename/NeuralOrca-7B-v1
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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: 78.77
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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=mrfakename/NeuralOrca-7B-v1
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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: 58.45
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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=mrfakename/NeuralOrca-7B-v1
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name: Open LLM Leaderboard
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---
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WARNING! This is a "Frankenmerge" - this model is untested!
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# NeuralOrca 7B V1
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[GGUF Models](https://huggingface.co/TheBloke/NeuralOrca-7B-v1-GGUF)
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**By [mrfakename](https://twitter.com/realmrfakename)**
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*Please note that this is an experimental model. We cannot guarantee model quality.*
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This is the first (alpha) release of NeuralOrca. NeuralOrca is a merge of the following models:
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* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B) (This model is actually [OpenHermes 2.5](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) finetuned on Intel's [Neural Chat dataset](https://huggingface.co/datasets/Intel/neural-chat-dataset-v2) and uses the ChatML prompt format, weight: 1.0)
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* [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) (This model uses the ChatML prompt format, weight: 0.7)
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## Prompt Format
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We use the ChatML prompt format.
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Example:
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```
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<|im_start|>system
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You are NeuralOrca, a helpful AI assistant.
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<|im_end|>
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<|im_start|>user
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How are you?<|im_end|>
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<|im_start|>assistant
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```
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## Evaluations
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Coming soon
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## Context Length
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The context length for this model is 8192 tokens (8K).
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## License
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You are responsible for your use of NeuralOrca.
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This software is licensed under the Apache 2.0 license. If you want to use it for commercial use, it's probably fine but please contact me first.
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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_mrfakename__NeuralOrca-7B-v1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |67.64|
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|AI2 Reasoning Challenge (25-Shot)|65.27|
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|HellaSwag (10-Shot) |85.07|
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|MMLU (5-Shot) |63.68|
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|TruthfulQA (0-shot) |54.58|
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|Winogrande (5-shot) |78.77|
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|GSM8k (5-shot) |58.45|
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