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Model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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license: apache-2.0
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library_name: transformers
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datasets:
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- NeuralNovel/Neural-Story-v1
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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inference: false
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model-index:
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- name: Mistral-7B-Instruct-v0.2-Neural-Story
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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: 64.08
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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=NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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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: 83.97
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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=NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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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: 60.67
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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=NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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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: 66.89
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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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: 75.85
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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=NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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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: 38.29
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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=NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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name: Open LLM Leaderboard
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---
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# NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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[GGUF FILES HERE](https://huggingface.co/Kquant03/Mistral-7B-Instruct-v0.2-Neural-Story-GGUF)
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The **Mistral-7B-Instruct-v0.2-Neural-Story** model, developed by NeuralNovel and funded by Techmind, is a language model finetuned from Mistral-7B-Instruct-v0.2.
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Designed to generate instructive and narrative text, with a specific focus on storytelling.
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This fine-tune has been tailored to provide detailed and creative responses in the context of narrative and optimised for short story telling.
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Based on mistralAI, with apache-2.0 license, suitable for commercial or non-commercial use.
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<a href='https://ko-fi.com/S6S2UH2TC' target='_blank'><img height='38' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi1.png?v=3' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>
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<a href='https://discord.gg/KFS229xD' target='_blank'><img width='140' height='500' style='border:0px;height:36px;' src='https://i.ibb.co/tqwznYM/Discord-button.png' border='0' alt='Join Our Discord!' /></a>
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### Data-set
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The model was finetuned using the Neural-Story-v1 dataset.
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### Benchmark
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | **64.96** |
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| ARC | 64.08 |
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| HellaSwag | **66.89** |
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| MMLU | 60.67 |
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| TruthfulQA | 66.89 |
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| Winogrande | **75.85** |
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| GSM8K | 38.29 |
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Evaluated on **HuggingFaceH4/open_llm_leaderboard**
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### Summary
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Fine-tuned with the intention of generating creative and narrative text, making it more suitable for creative writing prompts and storytelling.
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#### Out-of-Scope Use
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The model may not perform well in scenarios unrelated to instructive and narrative text generation. Misuse or applications outside its designed scope may result in suboptimal outcomes.
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### Bias, Risks, and Limitations
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The model may exhibit biases or limitations inherent in the training data. It is essential to consider these factors when deploying the model to avoid unintended consequences.
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While the Neural-Story-v0.1 dataset serves as an excellent starting point for testing language models, users are advised to exercise caution, as there might be some inherent genre or writing bias.
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### Hardware and Training
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```
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n_epochs = 3,
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n_checkpoints = 3,
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batch_size = 12,
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learning_rate = 1e-5,
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```
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*Sincere appreciation to Techmind for their generous sponsorship.*
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