FareedKhan-dev/kimi-k3-in-c: A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU. - FareedKhan-dev/kimi-k3-in-c
The ByteDance Seed team was established in 2023, dedicated to discovering new approaches to general intelligence, pushing the boundaries of AI. The team's research areas include LLM, speech, vision, world models, infrastructure, AI Infra, and next-generation AI interactions. The team operates labs in China, Singapore, the United States, and other locations.
MiniMax M2.5 - SOTA in Coding and Agent, Designed for Agent Universe
Designed for high-throughput, low-latency production environments. M2.5 delivers industry-leading coding and reasoning capabilities at a fraction of the cost.
Liquid AI: Build efficient general-purpose AI at every scale
We build efficient general-purpose AI at every scale. Liquid Foundation Models (LFMs) are a new generation of generative AI models that achieve state-of-the-art performance at every scale, while maintaining a smaller memory footprint and more efficient inference.
BlinkDL/RWKV-LM: RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast in...