language, license, library_name, datasets, pipeline_tag, model-index

language	license	library_name	datasets	pipeline_tag	model-index
en	apache-2.0	transformers	monology/VMware-open-instruct-higgsfield	text-generation	name results openinstruct-mistral-7b task dataset metrics source type name text-generation Text Generation name type config split args AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test num_few_shot 25 type value name acc_norm 59.73 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=monology/openinstruct-mistral-7b Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type split args HellaSwag (10-Shot) hellaswag validation num_few_shot 10 type value name acc_norm 82.77 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=monology/openinstruct-mistral-7b Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU (5-Shot) cais/mmlu all test num_few_shot 5 type value name acc 60.55 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=monology/openinstruct-mistral-7b Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args TruthfulQA (0-shot) truthful_qa multiple_choice validation num_few_shot 0 type value mc2 48.76 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=monology/openinstruct-mistral-7b Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args Winogrande (5-shot) winogrande winogrande_xl validation num_few_shot 5 type value name acc 79.56 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=monology/openinstruct-mistral-7b Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args GSM8k (5-shot) gsm8k main test num_few_shot 5 type value name acc 50.49 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=monology/openinstruct-mistral-7b Open LLM Leaderboard

OpenInstruct Mistral-7B

1st among commercially-usable 7B models on the Open LLM Leaderboard!*

This is mistralai/Mistral-7B-v0.1 finetuned on VMware/open-instruct.
Quantized to FP16 and released under the Apache-2.0 license by myself.
Compute generously provided by Higgsfield AI.

Prompt format: Alpaca

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
[your instruction goes here]

### Response:

Recommended preset:

• temperature: 0.2
• top_k: 50
• top_p 0.95
• repetition_penalty: 1.1

*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.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	63.64
AI2 Reasoning Challenge (25-Shot)	59.73
HellaSwag (10-Shot)	82.77
MMLU (5-Shot)	60.55
TruthfulQA (0-shot)	48.76
Winogrande (5-shot)	79.56
GSM8k (5-shot)	50.49