Core Ai Agents / LLM

Best models for your hardware this week. 8-12GB - https://huggingface.co/LiquidAI/LFM2.5-8B-A1B incredible model, so fast, so small 16-32GB - latest Google model, Gemma 12B: https://huggingface.co/google/gemma-4-12B really solid performance up neck and neck with a model 2x its size from a month ago. Jetbrains new model, best in class on livecode bench 32-96gb - Nex-N2-Mini GPT style postrain of Qwen-35B it seems to be its class leader caveman style reasoning https://huggingface.co/Nexdata/Nex-N2-Mini - Jackrong’s Qwopus is the #1 overall Q4 of Qwen3.6-27B on our benchmark suite of 5 agent + coding benchmarks (1200 samples total) https://huggingface.co/jackrong/QwQ-32B-Preview-Qwopus 192gb - Step-3.7-Flash is hard to beat, high scores, really fast inference, vision capable, later cutoff dates https://huggingface.co/stepfun-ai/Step-3.7-Flash 384gb - Nex-N2-Pro GPT style post train of Qwen-3.5-397B incredibly strong and #1 on deepswe if their claims are right https://huggingface.co/Nexdata/Nex-N2-Pro 768gb - very promising post-train of GLM-5.1 that wins out on 8 benchmarks

Weekly best models for your hardware: ~~ 8 to 16gb ~~ Granite models are amazing: [NEW] - https://huggingface.co/ibm-granite/granite-4.1-8b Gemma-E4B is a good general QA model - https://huggingface.co/google/gemma-4-E4B-it Qwen3.5-9B is the best at this level imo - https://huggingface.co/Qwen/Qwen3.5-9B ~~ 16 to 64gb ~~ Another larger Granite: This is a general chat model, really dense with world knowledge. [NEW] - https://huggingface.co/ibm-granite/granite-4.1-30b - Undisputed kings: The Qwens at various precisions: (Higher ceiling) - https://huggingface.co/Qwen/Qwen3.5-9B (and larger variants like 32B/72B) - https://huggingface.co/Qwen (check latest) The Gemmas at various precisions: (More efficient) - https://huggingface.co/google/gemma-4-E4B-it - https://huggingface.co/google (Gemma family) ~~ 64 to 128gb ~~ - Ling is a new 100B~ contender decent agent [NEW] https://huggingface.co/inclusionAI/Ling-flash-2.0 - Mistral medium: from my experience their models have been the most consistent! [NEW] https://huggingface.co/mistralai/Mistral-Medium-3.5-128B ~~ 128gb - 256gb ~~ Undisputed king: DeepSeek-V4-Flash [NEW] https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash

Here are all the open weight models that can get close frontier level code, and tie for agentic purposes. GLM-5.* MiniMax-M2.* Kimi-K2.5 Deepseek-V3.2 Qwen-3.5-Plus-397B If you want AI at home for coding agents similar to Claude/Codex the VRAM needed 192GB for Q4 quant + REAP

Give your ai agent eyes to see the entire internet for free Read & search - Twitter, - Reddit, - YouTube, - GitHub, - Bilibili, - XiaoHongShu One CLI, zero API fees. 📱 - https://www.opensourceprojects.dev/post/98258f76-86c9-4980-9616-b5ad00cb6df4 @CoreAti - @CorePrompts - @CoreUtil #free #Aiagent #tool

—— 256 GB —— #1 MiniMax-M2.5 (M2.7) - 6bit MLX #2 Qwen3.5-262B-REAP (4-6 bits) #3 Nemotron-122B (8-9bits) #4 GLM-5-358B (4bit) —— 512 GB —— #1 MiniMax-M2.* - FP16 #2 Qwen3.5-397B - 8bit #3 Kimi-k2.5-530B-PRISM - 4bit #4 GLM-5 - 4bit

Best models to run on your hardware: —— 64 GB —— - Qwen3-coder-next-80B-4bit (coding, Claude code, general agent) - Qwen3.5-122B-reap: (browser use, multimodal, tool calling, general agent) —— 96 GB —— - GLM-4.6V (multimodal and tool calls) - Hermes-70B (Jailbroken) - Nemotron-120B-Super: (openclaw) - Mistral-4-Small (general agent) —— 192 GB —— All these are excellent top tier LLMs and approach sonnet in capabilities - Step-3.5-Flash - Qwen3.5-397B-REAP - MiniMax-M2.5 (soon M2.7) - GLM-4.7-Reap

Best models to run on your hardware level: ---- 8 GB ---- Autocomplete for coding (like Cursor Tab) - https://huggingface.co/NexVeridian/zeta-2-4bit - https://huggingface.co/bartowski/zed-industries_zeta-2-GGUF Tool calling, assistant style - https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-4B-GGUF ---- 16 Gb ---- Here things get better: Multimodal - huggingface.co/Qwen/Qwen3.5-9B - https://huggingface.co/Tesslate/OmniCoder-9B - https://huggingface.co/unsloth/Qwen3.5-27B-GGUF ---- 24 GB ---- - The best model you can get (thanks Qwen) https://huggingface.co/Qwen/Qwen3.5-27B - Great model (strong agents) https://huggingface.co/nvidia/Nemotron-Cascade-2-30B-A3B - Mine hehe https://huggingface.co/0xSero/Qwen-3.5-28B-A3B-REAP

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