Unsloth Studio(unsloth.ai)
364 points by brainless | 67 comments
Announcement page for Unsloth Studio (Beta), an open-source no-code web UI for training, running, and exporting open AI models locally.
First screen, captured .
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How to run Qwen 3.5 locally(unsloth.ai)
424 points by Curiositry | 138 comments
Unsloth documentation guide explaining how to run Alibaba's Qwen3.5 model family locally using GGUF quantized versions, with updates on improved quantization.
Unsloth Dynamic 3.0 GGUFs(unsloth.ai)
309 points by jonesy827 | 110 comments
Qwen3.5 Fine-Tuning Guide(unsloth.ai)
384 points by bilsbie | 93 comments
Unsloth documentation guide explaining how to fine-tune Qwen3.5 LLMs (0.8B to 122B) with LoRA, including VRAM requirements and free Colab notebooks.
GPT-OSS Reinforcement Learning(docs.unsloth.ai)
142 points by vinhnx | 36 comments
Unsloth Dynamic 2.0 GGUFs(unsloth.ai)
222 points by tosh | 61 comments
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How to run Qwen 3.5 locally(unsloth.ai)
424 points by Curiositry | 138 comments
Unsloth documentation guide explaining how to run Alibaba's Qwen3.5 model family locally using GGUF quantized versions, with updates on improved quantization.
Guide to running Llama 2 locally(replicate.com)
573 points by bfirsh | 153 comments
Replicate blog post explaining how to run Meta's Llama 2 model locally on M1/M2 Macs, Windows, Linux, and phones without an internet connection.
How to setup a local coding agent on macOS(ikyle.me)
464 points by kkm | 114 comments
A blog tutorial on running Gemma 4 and Qwen3.6 locally on macOS with llama.cpp, MTP speculative decoding, and multimodal support as a coding agent.
Jamesob's guide to running SOTA LLMs locally(github.com)
390 points by livestyle | 175 comments
GitHub repository by jamesob collecting notes, runners, and tools for running state-of-the-art LLMs locally.
GLM-Legal(z.ai)
660 points by ilreb | 357 comments
Z.ai research blog post introducing GLM-Legal, a language model aimed at agentic legal work such as analyzing source documents and producing client-ready work product.
GLM-5.2 is a step change for open agents(interconnects.ai)
344 points by vantareed | 197 comments
Nathan Lambert's Interconnects post arguing that the GLM-5.2 model marks a capability threshold for open-weight agentic AI.