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Model: NeuralNovel/Gecko-7B-v0.1 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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library_name: transformers
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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: Gecko-7B-v0.1
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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: 61.35
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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/Gecko-7B-v0.1
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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: 83.36
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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/Gecko-7B-v0.1
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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: 61.05
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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/Gecko-7B-v0.1
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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: 62.6
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Gecko-7B-v0.1
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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: 77.58
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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/Gecko-7B-v0.1
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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: 41.55
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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=NeuralNovel/Gecko-7B-v0.1
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name: Open LLM Leaderboard
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---
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# Gecko-7B-v0.1
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Designed to generate instructive and narrative text, with a focus on mathematics & numeracy.
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Full-parameter fine-tune (FFT) of Mistral-7B-Instruct-v0.2, with apache-2.0 license.
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You may download and use this model for research, training and commercial purposes.
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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-Mini-Math dataset (Currently Private)
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### Summary
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Fine-tuned with the intention of following all prompt directions, making it more suitable for roleplay and problem solving.
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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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This model may not work as intended. As such all users are encouraged to use this model with caution and respect.
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This model is for testing and research purposes only, it has reduced levels of alignment and as a result may produce NSFW or harmful content.
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The user is responsible for their output and must use this model responsibly.
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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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# [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_NeuralNovel__Gecko-7B-v0.1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |64.58|
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|AI2 Reasoning Challenge (25-Shot)|61.35|
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|HellaSwag (10-Shot) |83.36|
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|MMLU (5-Shot) |61.05|
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|TruthfulQA (0-shot) |62.60|
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|Winogrande (5-shot) |77.58|
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|GSM8k (5-shot) |41.55|
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