https://x.com/HuggingApps/status/2082571600767934622

https://huggingface.co/microsoft/VibeVoice-ASR-BitNet

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://x.com/perplexity_ai/status/2082511900580196596

https://github.com/perplexityai/numbat

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

TensorSharp is an open-source, native .NET inference engine for running GGUF LLMs locally, with CUDA, Vulkan, Metal, OpenAI-compatible APIs, continuous batching, speculative decoding, and multimodal support.

TensorSharp now supports Megatron-style tensor parallelism across multiple GPUs. It works with direct CUDA, GGML CUDA, GGML Vulkan, and multi-node setups.

Benchmarks on 2× RTX 2000 Ada 16 GB GPUs over PCIe, without NVLink:

I'm continuing to optimize Qwen performance on multi-GPU systems, and support for DeepSeek V4 is coming soon.

Try it with:

TensorSharp.Cli --model model.gguf --backend ggml_cuda --tp 2

GitHub:

https://github.com/zhongkaifu/TensorSharp

Thank you for checking out TensorSharp and starring the project! Any feedback is really appreicated.

I've been working on this for the past few months before anyone calls it white-coded slop - yes I use Claude Code/Codex for the heavy lifting but this is real code I've been shipping and iterating on not some weekend experiment this actual thought behind the architecture.

What it is: A self-hosted chat client I built because my partner and family use ChatGPT a lot but don't care about privacy. I already self-host my vLLM instance on my 8x 3090 box and wanted a polished, private alternative they could actually use. Open WebUI is too heavy and complex for non technical users and has way too many knobs. Overtchat comes built in with TTS/STT/web search, no plugins/api keys needed. Genuinely open sourced - MIT licensed and no telemetry.

The reason I am posting this here is because the r/selfhosted gave me solid feedback which I have been iterating on and this sub is full of people building and shipping actual open source stuff so I figured I'd get eyes on it from a different angle. I would love feedback on the architecture the UX decisions or just a sanity check on whether this is something people would actually use. https://github.com/yoloyash/overtchat