LLMs (Large Language Models)

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.
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
·github.com·
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.
ByteDance Seed
ByteDance Seed
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.
·seed.bytedance.com·
ByteDance Seed
Apertus LLM - a swiss-ai Collection
Apertus LLM - a swiss-ai Collection
Democratizing Open and Compliant LLMs for Global Language Environments: 8B and 70B open-data open-weights models, multilingual in 1000 languages
·huggingface.co·
Apertus LLM - a swiss-ai Collection
Liquid AI: Build efficient general-purpose AI at every scale
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.
·liquid.ai·
Liquid AI: Build efficient general-purpose AI at every scale
Open Euro LLM
Open Euro LLM
A series of foundation models for transparent AI in Europe
·openeurollm.eu·
Open Euro LLM
LiveKit
LiveKit
Instantly transport audio and video between LLMs and your users.
·livekit.io·
LiveKit
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.
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...
·github.com·
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.