๐ŸŒŸโš› Introducing Quark Series: Empowering Edge Devices with Swift Bilingual Conversational AI

Presenting Quark-620M-v0.1.alpha, the first model in our Quark series.

Quark models focus on delivering exceptional English and Chinese conversational performance on edge devices with rapid inference speed.

๐Ÿ—จ Example

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๐Ÿง‘โ€๐Ÿซ Benchmark

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๐Ÿ” Disclaimer

As an alpha preview release without RLHF fine-tuning, we do not take responsibility for potentially harmful responses and are committed to continuous improvement based on user feedback and research.

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Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 35.68
AI2 Reasoning Challenge (25-Shot) 31.40
HellaSwag (10-Shot) 47.31
MMLU (5-Shot) 34.55
TruthfulQA (0-shot) 41.84
Winogrande (5-shot) 55.17
GSM8k (5-shot) 3.79
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Safetensors
Model size
464M params
Tensor type
F32
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Dataset used to train raincandy-u/Quark-464M-v0.1.alpha

Space using raincandy-u/Quark-464M-v0.1.alpha 1

Evaluation results