RichardErkhov/monology_-_openinstruct-mistral-7b-gguf

Quantization made by Richard Erkhov.

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openinstruct-mistral-7b - GGUF

• —Model creator: https://huggingface.co/monology/
• —Original model: https://huggingface.co/monology/openinstruct-mistral-7b/

Original model description: --- language:

• —en license: apache-2.0 library_name: transformers datasets:
• —monology/VMware-open-instruct-higgsfield pipeline_tag: text-generation model-index:
• —name: openinstruct-mistral-7b results:
• —task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2arc config: ARC-Challenge split: test args: numfew_shot: 25 metrics:
• —type: accnorm value: 59.73 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=monology/openinstruct-mistral-7b name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: numfewshot: 10 metrics:
• —type: accnorm value: 82.77 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=monology/openinstruct-mistral-7b name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: numfewshot: 5 metrics:
• —type: acc value: 60.55 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=monology/openinstruct-mistral-7b name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthfulqa config: multiplechoice split: validation args: numfewshot: 0 metrics:
• —type: mc2 value: 48.76 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=monology/openinstruct-mistral-7b name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winograndexl split: validation args: numfew_shot: 5 metrics:
• —type: acc value: 79.56 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=monology/openinstruct-mistral-7b name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: numfewshot: 5 metrics:
• —type: acc value: 50.49 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=monology/openinstruct-mistral-7b name: 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