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Moonshot released Kimi K3's weights on July 27, 2026. What that actually gets you at 2.8 trillion parameters — the real download size, the hardware floor, the bespoke license, and how to choose between self-hosting, the official API, and an aggregator.
Nathan and Florian sit down to discuss everything happening with open models. Following the Kimi K3 release last week, it feels like everything is accelerating — geopolitics of US v China, economics of open vs.
⭐️ Highlights Haystack 3.0 is a major release for building production-grade agents with full control and flexibility. It ships a wave of new capabilities: a more capable Agent with hooks and first-class skills, built-in run introspection, first-class async for serving, a leaner core, and safer…
How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes
A practical guide to the economics of self-hosting open-weight LLMs. Using Kimi K2.6 and real production traffic from Cline, this post breaks down GPU memory, inference, batching, pricing, and the point at which self-hosting can save millions.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - Release Release v5.14.0 · huggingface/transformers
At @fal , we've achieved 16 times higher throughput on Qwen3.6 for a use-case that required high interactivity per user using DSpark on SGLang. But why did we need it? And how did we achieve it?IntroText-to-image models like Ideogram V4 can generate stunning,
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - Release Release v5.13.0 · huggingface/transformers
Everyone argues about whether to write an AGENTS.md. Almost nobody looks at what the good ones actually say. So I pulled the file from the most-starred open source projects that…
Self-reported Llama-3.1-8B results for three LLM inference engines. Published unique-prompt throughput and latency rows cover H100 bf16. FP8 and L40S appear only in derived cost results. The harness and raw data are not publicly available.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - Release Patch release v5.12.1 · huggingface/transformers
Architecture and benchmark notes for North Mini Code, Cohere's 30B-A3B MoE trained for repository, terminal, and code-generation tasks.
L'articolo New Analytics Dashboard, Knowledge Base Insights and Platform Improvements proviene da Tiledesk.
An overview of DiffusionGemma, an exceptionally fast text generation model with up to 4x faster speeds.
Go ahead and axolotl questions. Contribute to axolotl-ai-cloud/axolotl development by creating an account on GitHub.
vLLM prefix caching and prefix-aware KV cache routing eliminate redundant LLM prefill costs at scale. Learn how DigitalOcean Serverless Inference reduces GPU compute waste by up to 4x on the same hardware.
A deep dive into DigitalOcean Serverless Inference—how we built a scalable, API-first AI inference platform and the architecture powering it.
L'articolo URL Preview, HyDE and Knowledge Base Upgrades proviene da Tiledesk.
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