Gemma 4 2B · Ollama

cajina/gemma4_e2b-q4_k_s

Gemma4 model 2B parameters with Q4_K_S quatization. Thinking removed. Context set to 4096

1,229 Pulls 1 Tag Updated 4 months ago

ttempvnn/HauhauCS-Gemma4-26B-A4B-Uncensored-HauhauCS-Balanced-Q4-K-M

202 Pulls 1 Tag Updated 3 days ago

vidraft/pocket-26b

# POCKET-26B **On-device Korean AI, based on Google Gemma4-26B-A4B.** Runs on your PC or phone with **no GPU** — in Ollama, LM Studio, PocketPal, or any llama.cpp app. ## Run

tools thinking

33 Pulls 1 Tag Updated 1 week ago

julienp79/occitan-gemma-4-e2b-it-lora-sfttrainer

Gemma 4 2B fine-tuned on Occitan via standard LoRA (r=16) with SFTTrainer. Q2_K, Q4_K_M, Q5_K_M, Q8_0, f16 quants available.

38 Pulls 6 Tags Updated 2 months ago

julienp79/occitan-gemma-4-e2b-it-rslora-sfttrainer

Gemma 4 2B fine-tuned on Occitan (Lengadocian) via RS-LoRA (r=32) with SFTTrainer. Q2_K, Q4_K_M, Q5_K_M, Q8_0, f16 quants available.

6 Pulls 6 Tags Updated 2 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

444 Pulls 1 Tag Updated 3 weeks ago

sonct988/gemma4-26b-a4b-it-q4km-256k

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.

tools thinking

116.9K Pulls 1 Tag Updated 1 month ago

aratan/gemma4-26B-Q4-update

vision tools thinking

100 Pulls 1 Tag Updated 2 weeks ago

VladimirGav/gemma4-26b-16GB-VRAM

Gemma 4 26B (IQ4_XS) - Optimized for 16GB VRAM

tools thinking

21.4K Pulls 1 Tag Updated 4 months ago

jahangircse/Gemma4_12B

tools thinking

44 Pulls 1 Tag Updated 2 weeks ago

VladimirGav/gemma4-26b-16GB-VRAM-Uncensored

Gemma 4 Uncensored 26B (IQ4_XS) - Optimized for 16GB VRAM

tools thinking

8,511 Pulls 1 Tag Updated 3 months ago

batiai/gemma4-26b

Gemma 4 26B MoE quantized by BatiAI. 77 t/s on M4 Max. Requires 24GB+ Mac.

tools thinking

6,678 Pulls 6 Tags Updated 4 months ago

satgeze/gemma4-26b-uncensored-1m

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

vision tools thinking

1,873 Pulls 1 Tag Updated 1 month 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

2,756 Pulls 1 Tag Updated 4 months ago

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

1,799 Pulls 1 Tag Updated 4 months ago

SetneufPT/Gemma4-12B-IT-QAT_Q4_64K_16GB-GPU

Custom model for coding with agents to use locally with 16gb or 2x8gb GPUs (working fine...)

vision tools thinking

988 Pulls 1 Tag Updated 2 months ago

mannix/gemma4-98e-v6-coder

The best 20b coding model just got better! Beats the bigger 26b brother in Python and code reasoning

vision tools thinking

1,115 Pulls 62 Tags Updated 1 week ago

aravhawk/gemma4

Gemma 4 26B Optimized for 16GB VRAM via Q3 Quantization

tools thinking 26b

1,075 Pulls 2 Tags Updated 3 months ago

rafw007/gemma4-26b-claude-coder

Niestandardowy model Gemma 4 26B (~25,8B parametrów), dostrojony do działania jako niezależny agent kodowania i administracji . Obsługuje API zgodne z Anthropic, dzięki czemu obsługuje Claude Code, Codex i Opencode

tools thinking

740 Pulls 1 Tag Updated 2 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

1,035 Pulls 1 Tag Updated 4 months ago