Model2vec
Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by 15x and making the models up to 500x faster, with a small drop in performance.
Ktransformers
KTransformers, an open - source project by Tsinghua's KVCache.AI team and QuJing Tech, optimizes large - language model inference. It reduces hardware thresholds, runs 671B - parameter models on 24GB - VRAM single - GPUs, boosts inference speed (up to 286 tokens/s pre - processing, 14 tokens/s generation), and is suitable for personal, enterprise, and academic use.
Model2vec
| Launched | |
| Pricing Model | Free |
| Starting Price | |
| Tech used | |
| Tag | Text Analysis |
Ktransformers
| Launched | |
| Pricing Model | Free |
| Starting Price | |
| Tech used | |
| Tag | Developer Tools,Software Development,Data Science |
Model2vec Rank/Visit
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Ktransformers Rank/Visit
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Estimated traffic data from Similarweb
What are some alternatives?
When comparing Model2vec and Ktransformers, you can also consider the following products
Megatron-LM - Ongoing research training transformer models at scale
VectorDB - VectorDB is a simple, lightweight, fully local, end-to-end solution for using embeddings-based text retrieval.
DeepSeek-VL2 - DeepSeek-VL2, a vision - language model by DeepSeek-AI, processes high - res images, offers fast responses with MLA, and excels in diverse visual tasks like VQA and OCR. Ideal for researchers, developers, and BI analysts.
SmolLM - SmolLM is a series of state-of-the-art small language models available in three sizes: 135M, 360M, and 1.7B parameters.