How to run Qwen 3.5 locallykept by eddie • mar 10Hacker News commenters share experiences and benchmarks for running Qwen 3.5 locally, covering hardware choices, quantization trade-offs, and practical coding performance.AboutUnsloth · Llama.cpp · Ollama · QwenFiled#ai#benchmarks#developer-tools#hardware#open-sourceRelatedUnsloth Studio | Hacker NewsUnsloth launches Unsloth Studio, an open-source, no-code web UI for locally running, training, and exporting 500+ open models with 2x faster training and 70% less VRAM.also on Unsloth, Llama.cpp, Ollama, Qwen, #open-source, #ai, #developer-toolsRunning local models is good nowLocal agentic coding models have reached surprising quality and usability over the past six months, now offering ~75% of frontier-model accuracy for many development tasks on a 64GB M2 Mac.also on Llama.cpp, Ollama, Qwen, #open-source, #developer-toolsThis website has been temporarily rate limited | www.warman.lifeOpen-weight models from China are commoditizing AI capability, breaking the monopoly moat of US closed labs, prompting protectionist moves that will harm long-term US competitiveness.also on Llama.cpp, Ollama, #open-source, #aiopencyvis/opencyvis-phoneOpenCyvis turns Android into an open-source AI phone that runs chosen LLMs to control apps via natural language while keeping the screen usable for other tasks.also on Ollama, #open-source, #ai, #developer-toolsIntroducing Ossature: Spec-Driven Code Generation — Ossature BlogOssature is an open-source spec-driven code generation harness that validates specs, audits them for ambiguities, produces a reviewable build plan, and generates code with narrow context and deterministic boundaries.also on Ollama, #open-source, #ai, #developer-tools
How to run Qwen 3.5 locally