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Gemma 4 2.3B · Ollama
Search for models on Ollama.
  • bjoernb/gemma4-e2b-fast

    Gemma 4 E2B (Google DeepMind) with thinking mode disabled. Compact multimodal model — 2.3B effective / 5.1B total parameters. Supports text, image and audio input. Designed for edge devices and local deployment. Knowledge cutoff: January 2025.

    vision tools thinking

    1,908  Pulls 1  Tag Updated  5 months ago

  • 4skl/gemma4-e2b-mtp

    Ultra-fast multimodal 2.3B Gemma 4 for on-device edge AI (3.7GB). Adds native vision/audio parsing to Unsloth Dynamic QAT with a 2-token MTP pipeline and a mobile-safe 32K context window. Perfect for smartphones and laptops sharing 8GB of total RAM.

    vision tools thinking

    606  Pulls 1  Tag Updated  1 month ago

  • bjoernb/gemma4-e2b-think

    Gemma 4 E2B (Google DeepMind) with thinking mode enabled. Compact multimodal model — 2.3B effective / 5.1B total parameters. Supports text, image and audio input. Designed for edge devices and local deployment. Knowledge cutoff: January 2025.

    vision tools thinking

    495  Pulls 1  Tag Updated  5 months ago

  • maxwell1500/psycho

    A local-first psychology assistant fine-tuned from Gemma 4 on real therapy dialogues. Two model series: E2B (2.3B, 3.3–5.0 GB) and 12B (11.96B, 6.2–11.8 GB). 128K context. Legal Notice: Not a substitute for professional care.

    tools thinking 12b

    675  Pulls 11  Tags Updated  2 months ago

  • bjoernb/gemma4-26b-think

    Gemma 4 26B MoE (Google DeepMind) with thinking mode enabled. Mixture-of-Experts — 25.2B total / 3.8B active parameters, 256K context. Supports text and image input. Knowledge cutoff: January 2025.

    vision tools thinking

    2,776  Pulls 1  Tag Updated  5 months ago

  • bjoernb/gemma4-26b-fast

    Gemma 4 26B MoE (Google DeepMind) with thinking mode disabled. Mixture-of-Experts — 25.2B total / 3.8B active parameters, 256K context. Supports text and image input. Knowledge cutoff: January 2025.

    vision tools thinking

    1,071  Pulls 1  Tag Updated  5 months ago

  • odytrice/gemma4

    Gemma 4 Ollama profiles for RTX 4090/5090 across 12B, 26B-A4B, and 31B variants, with multimodal support and native tool calling

    vision tools thinking

    487  Pulls 5  Tags Updated  3 months ago

  • n27/gemma-4-26B-A4B-it-UD-Q4_K_M-32k

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

    tools thinking

    2,107  Pulls 1  Tag Updated  4 months ago

  • HammerAI/gemma-4-26b-a4b-heretic

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

    tools thinking

    1,021  Pulls 2  Tags Updated  2 months ago

  • satgeze/gemma4-12b-uncensored-1.5m

    Gemma 4 12B uncensored, 1.5M max context: certified 10/10 to 1.31M on a 32GB card. Vision included.

    vision tools thinking

    4,117  Pulls 1  Tag Updated  2 months ago

  • satgeze/gemma4-12b-uncensored-1m

    Gemma 4 12B uncensored: first Gemma certified 10/10 at 1M, fits a 32GB card. Vision included.

    vision tools thinking

    1,981  Pulls 1  Tag Updated  2 months ago

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