Models

Gemma 4 26B A4B Instruct GGUF Q4_K_M build for Ollama, configured with a 256K context window. This is a text-focused local model built from google/gemma-4-26B-A4B-it and intended for chat, summarization, tool-style workflows, and long-context testing.

Gemma 4 26B A4B IT MM QAT Unsloth Dynamic 2.0 GGUF MoE

Gemma 4 26B A4B IT QAT Unsloth Dynamic 2.0 GGUF MoE

Gemma 4 26B-A4B uncensored MoE: 1M context, vision, fast. ~91% recall, honestly documented.

😈 Uncensored Gemma 4 26B (A4B MoE) for Ollama. 👁️ Native Vision, 🛠️ Tool Calling, GGUF, Rust 1.98.0 , Linux, Windows AI Coding Agents and multimodal local AI development. 🚀

coder3101/gemma-4-26B-A4B-it-heretic

Unsloth's Gemma4 QAT models with enforced context windows.

A fast, capable and reduced-refusal Gemma 4 MoE for creative work, coding and unrestricted local exploration.

Gemma-4-26B-A4B UD-Q8_K_XL MTP from Unsloth

Gemma 4 abliterated Quants (from https://huggingface.co/jenerallee78/gemma-4-26B-A4B-it-ara-abliterated)

llmfan46/gemma-4-26B-A4B-it-uncensored-heretic - quantized to q4_K_M from HF with vision capability retained

Huihui4-8B-A4B is a lightweight MoE (Mixture of Experts) conversational model optimized from Google's gemma-4-26B-A4B-it architecture

mradermacher/gemma-4-26B-A4B-it-heretic-GGUF

Best local model for standard desktop setups, suitable for coding and agent use.