152 lines
4.4 KiB
Markdown
152 lines
4.4 KiB
Markdown
---
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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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- monology/VMware-open-instruct-higgsfield
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pipeline_tag: text-generation
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model-index:
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- name: openinstruct-mistral-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: 59.73
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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=monology/openinstruct-mistral-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: 82.77
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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=monology/openinstruct-mistral-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: 60.55
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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=monology/openinstruct-mistral-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: 48.76
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=monology/openinstruct-mistral-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: 79.56
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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=monology/openinstruct-mistral-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: 50.49
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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=monology/openinstruct-mistral-7b
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name: Open LLM Leaderboard
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---
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# OpenInstruct Mistral-7B
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**1st among commercially-usable 7B models on the Open LLM Leaderboard!\***
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This is [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) finetuned on [VMware/open-instruct](https://huggingface.co/datasets/VMware/open-instruct).
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Quantized to FP16 and released under the [Apache-2.0](https://choosealicense.com/licenses/apache-2.0) license by myself.
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Compute generously provided by [Higgsfield AI](https://higgsfield.ai/model/655559e6b5777dab620095e0).
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## Prompt format: Alpaca
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```
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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[your instruction goes here]
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### Response:
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```
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## Recommended preset:
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- temperature: 0.2
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- top_k: 50
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- top_p 0.95
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- repetition_penalty: 1.1
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\*as of 21 Nov 2023. "commercially-usable" includes both an open-source base model and a *non-synthetic* open-source finetune dataset. updated leaderboard results available [here](https://huggingfaceh4-open-llm-leaderboard.hf.space).
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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_monology__openinstruct-mistral-7b)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |63.64|
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|AI2 Reasoning Challenge (25-Shot)|59.73|
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|HellaSwag (10-Shot) |82.77|
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|MMLU (5-Shot) |60.55|
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|TruthfulQA (0-shot) |48.76|
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|Winogrande (5-shot) |79.56|
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|GSM8k (5-shot) |50.49|
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