MiniMind2-R1
22 downloads
3 likes
on Hugging Face
updated
Papers using or citing this model 3
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DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
We present DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference. It comprises 236B total parameters, of which 21B are activated for each token, and supports a context...
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MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
This paper addresses the growing need for efficient large language models (LLMs) on mobile devices, driven by increasing cloud costs and latency concerns. We focus on designing top-quality LLMs with fewer than a billion parameters, a...
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Mixtral of Experts
We introduce Mixtral 8x7B, a Sparse Mixture of Experts (SMoE) language model. Mixtral has the same architecture as Mistral 7B, with the difference that each layer is composed of 8 feedforward blocks (i.e. experts). For every token, at...