bottlecapai/ThinkingCap-gemma-4-26B-A4B-it
just landed · new, unvettedmodel
New, unvetted: created or first seen in the last few days, not from a trusted org and not past the signal threshold yet.
Image text to text model from bottlecapai (HF pipeline tag; the card has no one-line description). Mixture-of-experts, 26B total, 4B active (128 experts, 8 per token). Context: 256K tokens (config). License: apache-2.0.
- Org
- bottlecapai
- Released
- 2026-10-23
- Status
- just landed · new, unvetted
- License
- apache-2.0 (permissive)
- Parameters
- 25.8B total, 4.0B active
- Architecture
- MoE · 128 experts, 8/token · Gemma4ForConditionalGeneration
- Context
- 262,144 tokens
- Task
- image-text-to-text · vision
- Signal
- 13 HF likes · 114 downloads
Runs on
real quant files; need = weights + FP16 KV cache for 8K tokens + 1GB. A sizing calculation, not tested.
- Q4 ~20.0 GB: 24GB GPU (3090 / 4090), 24GB GPU (7900 XTX), Mac 36GB, CPU only, 32GB RAM (slow)
- Q8 ~29.9 GB: 32GB GPU (5090), 48GB GPU (RTX 6000 Ada / A6000), Arc B70 32GB, Mac 48GB, Mac 64GB (M1 Max)
- FP16 ~53.5 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), Strix Halo 128GB unified (~96GB usable), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 64GB RAM (slow), CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)
Links
- Hugging Face
- Ollama
- GGUF: bartowski/bottlecapai_ThinkingCap-gemma-4-26B-A4B-it-GGUF
- GGUF: bottlecapai/ThinkingCap-gemma-4-26B-A4B-it-GGUF
First published here 2026-10-23 · updated 2026-10-23 · markdown · JSON