Best Local LLM for Math and Quantitative Reasoning
Which open-weight models actually solve math on your hardware, from quick arithmetic to AIME-level problems, ranked by VRAM tier and use case.
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#qwen
Best Local Chat Models by VRAM Tier (October 2026)
Open-weight chat LLMs by VRAM tier: Qwen3.5, Qwen3.6, Gemma 4 and gpt-oss picks, with Ollama tag sizes and licences.
Best Ollama Models to Drive Claude Code Without Anthropic's API
Which Ollama models work as a local backend for Claude Code's CLI, what features degrade without Anthropic's API, and how to wire it up.
Best Local LLM for Multilingual Use (October 2026)
Which open-weight model actually handles non-English work, what each provider claims about language coverage, and the tradeoffs between breadth and depth.
Abliterated Models Can Hide Weekend-Built Backdoors
A $50 weekend-built backdoor in a fine-tuned Qwen model shows that any edited open-weight model, abliterated builds included, can carry one.
Best Local Vision Models by VRAM (October 2026)
Open-weight vision-language models sized by VRAM: Qwen3-VL 2B to 235B-A22B, Mistral Small 3.2, Gemma 3, Pixtral, and where each tier breaks.
Best Local Models by Context Window (October 2026)
Local LLMs ranked by maximum context length: 32K, 128K, 256K, and 1M+ tiers, with the model that fits each tier and the VRAM each one needs.
Best Local Coding Models by VRAM (September 2026)
Open-weight coding LLMs sized by VRAM: Qwen2.5-Coder, Qwen3-Coder, Devstral Small 2, KAT-Coder, GLM-4.7-Flash, and the trade-offs at each tier.
How to Choose an Open-Weight Model Family (September 2026)
Qwen, Llama, Mistral, Gemma, DeepSeek, Phi - which family to commit to, what each is good at, and the licence traps that send you back to negotiate.
Best Local Reasoning Models by VRAM (October 2026)
Reasoning-capable open-weight models sized by VRAM. DeepSeek-R1, Qwen3 with thinking, QwQ, Phi-4 reasoning, gpt-oss, and the licence traps.
What It Takes to Run Qwen3.8-27B on Your Own Hardware
Five stock GGUF quants for Qwen3.8-27B span 7.27 GB to 29.05 GB. A file size is not a VRAM requirement, and a 262,144-token ceiling is not free to fill.
Qwen3.8-27B Ships Apache 2.0; AMD Adds Day-0 Support
Qwen's 27B vision-language model is on Hugging Face ungated under Apache 2.0, and AMD says it needs roughly 24GB of VRAM to run comfortably.
Best Open-Weight Models, Ranked by Capability (September 2026)
Seventeen downloadable-weight models ranked by capability and licence, with every parameter count and licence re-checked against the Hugging Face API.
Qwen3.8-Max Goes Open Weight; 27B Targets 17GB
Alibaba announced 2.4T-parameter Qwen3.8-Max open weights and a 27B sibling that Unsloth says will run in 17GB of RAM or VRAM.
Flint, Qwen3, and a Year of LLM Groupthink
A tiny Australian startup is fine-tuning a model to break ChatGPT-style groupthink. The 'Time is a river' problem is the symptom.
Open-Weight LLM Showdown Week 16: Kimi K2.6 Storms the Rankings, Qwen 3.6 Holds the Line, and Consumer GPUs Hit a Ceiling
Three weeks away and the leaderboard reshuffled. Kimi K2.6 brings 1T parameters under open weights, Qwen 3.6 stays the consumer GPU king, and DeepSeek V4-Flash proves too hungry for single-card setups.
Open-Weight LLM Showdown Week 13: DeepSeek V4 Crashes the Party, Gemma 4 Proves Itself, and ICLR Drops Hints
DeepSeek returns with a 1.6T MoE monster under MIT license, Gemma 4's 31B dense model climbs to #3 on Arena AI, and ICLR 2026 papers point to what's next for local inference.
Open Source AI Wins: DeepSeek V4 Narrows the Gap, Apache 2.0 Becomes the Default, and Ollama Hits 52 Million Downloads
DeepSeek V4 Pro approaches frontier-level performance. Google, Mistral, and Alibaba ship under Apache 2.0. Ollama hits 52 million monthly downloads.
Open-Weight LLM Showdown Week 12: Alibaba's Dense 27B Model Just Made MoE Optional
Qwen3.6-27B scores 77.2% on SWE-Bench Verified with a dense architecture that fits on a single RTX 4090. The MoE efficiency narrative just got complicated.
Open Source AI Wins: A Chinese Lab Tops SWE-Bench, Alibaba Ships a 3B-Active Coding Giant, and Microsoft Tackles Agent Security
Z.ai's GLM-5.1 beats GPT-5.4 on coding benchmarks under MIT license. Qwen3.6-35B-A3B runs frontier-level code with 3B active params. Microsoft open-sources agent governance for all 10 OWASP risks.
Open-Weight LLM Showdown Week 11: Qwen 3.6 Fires Back, and the 3B Active War Is Real
Alibaba drops Qwen3.6-35B-A3B with 73.4% on SWE-Bench Verified and Apache 2.0 licensing. The 3-billion active parameter class now has three serious contenders.
Open-Weight LLM Showdown Week 9: Six Labs, One License, and the Speed War That Decides Everything
Google, Alibaba, Meta, Mistral, OpenAI, and Zhipu all ship competitive open-weight models under permissive licenses. The battleground shifts from benchmarks to inference speed on your actual GPU.
Open Source AI Wins: Qwen Goes Agentic, Gemma Goes Apache, and OpenAI Kills Sora to Focus on What Matters
Alibaba's Qwen 3.6 Plus ships the first truly agentic open model. Google finally picks a real license. And OpenAI's Sora shutdown proves closed-source video generation can't pay the bills.
Open-Weight LLM Showdown Week 7: Mistral Small 4 Impresses but Stays Out of Reach
Mistral Small 4's 119B MoE unifies reasoning, vision, and coding—but needs datacenter hardware. Qwen 3.5 35B-A3B remains the consumer GPU king at 112 t/s.