InternScience/Sage-A1.5
main boardmodel
Sage‑A1.5 is a 35B Mixture‑of‑Experts agentic model based on Qwen3.6 and Agents-A1 from Shanghai AI Laboratory, built to advance long-horizon scientific problem solving through adaptive capability composition. Mixture-of-experts, 36B total (256 experts, 8 per token). Context: 256K tokens (config). License: apache-2.0.
- Org
- InternScience
- Released
- 2026-10-15
- Status
- main board
- License
- apache-2.0 (permissive)
- Parameters
- 36.0B
- Architecture
- MoE · 256 experts, 8/token · Qwen3_5MoeForConditionalGeneration
- Context
- 262,144 tokens
- Task
- text-generation · text
- Signal
- 283 HF likes · 3875 downloads
Runs on
real quant files; need = weights + FP16 KV cache for 8K tokens + 1GB. A sizing calculation, not tested.
- Q4 ~23.4 GB: 32GB GPU (5090), Mac 36GB, Mac 48GB, CPU only, 32GB RAM (slow)
- Q8 ~39.5 GB: 48GB GPU (RTX 6000 Ada / A6000), Mac 64GB (M1 Max), Mac 96GB, CPU only, 64GB RAM (slow)
- FP16 ~72.8 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), Strix Halo 128GB unified (~96GB usable), Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)
Links
- Hugging Face
- GGUF: InternScience/Sage-A1.5-F16-GGUF
- quant: InternScience/Sage-A1.5-FP8
- GGUF: InternScience/Sage-A1.5-Q4_K_M-GGUF
- GGUF: InternScience/Sage-A1.5-Q8_0-GGUF
- MLX: mlx-community/Sage-A1.5-OptiQ-4bit
First published here 2026-10-15 · updated 2026-10-21 · markdown · JSON