Granite 4.2 vs Gemma 4 vs Qwen 3.8 Benchmark
IBM dropped the Mamba hybrid in Granite 4.2. We measured what that costs against Gemma 4, Qwen 3.8 and Ornith 1.5 on one RTX 5090.
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IBM dropped the Mamba hybrid in Granite 4.2. We measured what that costs against Gemma 4, Qwen 3.8 and Ornith 1.5 on one RTX 5090.
We benchmarked Ornith 1.5 9B and 35B-A3B against Gemma 4-26B-A4B and Qwen 3.8 27B on one RTX 5090, and found the two mixtures are nearly identical on hardware and separated entirely by training.
We diffed all 866 GGUF tensors of an uncensored Qwen 3.8 27B against the original and found 131 matrices edited along one shared direction, with no measurable cost to quality.

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I'm Laxmi Kant Tiwari, IIT Kharagpur alumnus, founder with a successful startup exit, and an engineer with 10+ years across industry and academia. Everything here is taught the way real production systems are built.
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Qwen 3.8 27B vs Qwen 3.6 vs Qwen 3.5: What Actually Changed
Qwen 3.8 27B vs Muse Glimmer vs Gemma 4 - Tested Locally on RTX5090 and Ollama
Qwen 3.8 27B Speed Settings Explained: MTP, KV Cache and Flash Attention
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Master Langchain v1, Local LLM Projects, Ollama, DeepSeek, LLAMA 3.2, Complete Integration Guide.
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Build MCP servers & clients with Python, Streamlit, ChromaDB, LangChain, LangGraph agents, and Ollama integrations.
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