Phi-4-mini-instruct
microsoft · Kit
A 3.8B open instruction model from Microsoft with a 128K token context, built for reasoning, math and logic in tight memory or latency budgets. It suits develo…
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Chatterbox-Nano
ResembleAI · Kit
Speaks English text aloud on a plain CPU with a 110M-parameter model, and adds laughs and coughs through tags in the text. Suits developers who need fast on-de…
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Chatterbox-Flash
ResembleAI · Kit
A zero-shot English text-to-speech model that copies a voice from a short reference clip and streams audio block by block with low latency. Suits developers bu…
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svd-linear-attention-roberta-base-adasplash
Hooshaai · Kit
Classifies English text, such as SST-2 sentiment, with a RoBERTa Base model whose attention is made sparse by AdaSplash, trading some accuracy for lower latenc…
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roberta-base-fwsvd-rank32
Hooshaai · Kit
Classifies English text with a RoBERTa Base model shrunk to about 82M parameters by Fisher-weighted SVD at rank 32, trading some accuracy for lower latency and…
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Parallel Constrained Decoding for Apple Silicon
harshatheg · Kit
Extracts structured fields, routes decisions and classifies text on Apple Silicon with MLX, scoring every schema field at once. Cuts latency 5.6x to 7.0x on an…
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Voxtral 4B TTS 2603
mistralai · Kit
An open-weights text-to-speech model from Mistral with 20 preset voices in nine languages, streaming output and low latency. Made for developers who build voic…
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ZONOS2
Zyphra · Kit
Turns text into natural speech in more than 30 languages, with voice cloning from a sample, using a mixture-of-experts model for low latency. Runs locally on a…
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Chatterbox-Turbo
ResembleAI · Kit
Speaks English text aloud with a 350M-parameter model built for low-latency voice agents, and adds laughs and coughs through tags in the text. Suits developers…
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RunsOnMine
prajwalpujari16 · Kit
A browser registry of LLM serving benchmarks measured on consumer GPUs, dual Tesla T4 and an RTX 3050 laptop, with concurrency scaling curves and a way to subm…
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infersize
prajwalpujari16 · Kit
A browser tool that estimates the GPU memory an LLM needs, compares GPUs, sizes speculative decoding latency and estimates cloud cost per million tokens, befor…
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