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spmurrayzzz/Mistral-Syndicate-7B
Mistral-Syndicate-7B is a text generation model from spmurrayzzz. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
<img src="https://cdn-uploads.huggingface.co/production/uploads/64712903631bb7660aaa7183/yMzb5tbgygtlHnoyR37YO.png" width="600px" /
Downloads · 30 days
34
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All-time downloads
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From the Hugging Face model README
Mistral Syndicate is in no way a state-of-the-art model, rather it is a fine-tuning experiment to explore the training dynamics specific to large language models. The dataset used in finetuning was generated via a "syndicate" of other open language models both of similar parameter size and larger. Each model would generate a response for a given instruction, and the group would vote on which model's response was best.
The instruction inputs used for the output label synthesis were a curated subset of VMWare/open-instruct with additional instructions synthesized from scratch.
With context
Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction:
### Input:
### Response:
Without context
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
### Response:
12.30.23
| Benchmark | Result |
|---|---|
| ARC | 60.84 |
| HellaSwag | 82.91 |
| MMLU | 60.83 |
| TruthfulQA | 43.71 |
| Winogrande | 78.61 |
| GSM8K | 44.50 |
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 61.90 |
| AI2 Reasoning Challenge (25-Shot) | 60.84 |
| HellaSwag (10-Shot) | 82.91 |
| MMLU (5-Shot) | 60.83 |
| TruthfulQA (0-shot) | 43.71 |
| Winogrande (5-shot) | 78.61 |
| GSM8k (5-shot) | 44.50 |
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 13.85 |
| IFEval (0-Shot) | 24.96 |
| BBH (3-Shot) | 20.51 |
| MATH Lvl 5 (4-Shot) | 2.42 |
| GPQA (0-shot) | 3.47 |
| MuSR (0-shot) | 13.62 |
| MMLU-PRO (5-shot) | 18.13 |