GrootTeam/Groot-65B-A6B-261023
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.
Groot is a family of open-weight reasoning models for complex real-world tasks. Mixture-of-experts, 118B total, 6B active (256 experts, 10 per token). Context: 256K tokens (config). License: qwen-community-1.0. Vendor-reported: "Groot-65B-A6B-261023 beats Qwen3.5-122B-A10B on 14 of the 16 benchmarks, for example Terminal Bench 2.1 (63.37 vs 45.26), AutomationBench (41.50 vs 7.44) and SWE-bench Verified (56.11 vs 23.00)."
- Vendor-reported: Groot-65B-A6B-261023 beats Qwen3.5-122B-A10B on 14 of the 16 benchmarks, for example Terminal Bench 2.1 (63.37 vs 45.26), AutomationBench (41.50 vs 7.44) and SWE-bench Verified (56.11 vs 23.00).
- Org
- GrootTeam
- Released
- 2026-10-23
- Status
- just landed · new, unvetted
- License
- qwen-community-1.0 (restricted)
- Parameters
- 118.3B total, 6.0B active
- Architecture
- MoE · 256 experts, 10/token · Qwen4ExpForConditionalGeneration
- Context
- 262,144 tokens
- Task
- image-text-to-text · vision
- Signal
- 3 HF likes · 46 downloads
Runs on
mixed: real files + estimate; need = weights + FP16 KV cache for 8K tokens + 1GB. A sizing calculation, not tested.
- Q4 ~80.5 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), Strix Halo 128GB unified (~96GB usable), Mac 128GB, CPU only, 128GB RAM (slow)
- Q8 ~127.5 GB (estimated size): 2× DGX Spark (256GB), Mac 192GB, Mac 256GB
- FP16 ~238.4 GB (estimated size): Mac 512GB, CPU only, 256GB RAM (slow)
Links
First published here 2026-10-23 · updated 2026-10-23 · markdown · JSON