ibm-research / text-generation updated 1 year ago

PowerMoE-3b

PowerMoE-3B is a 3B sparse Mixture-of-Experts (sMoE) language model trained with the Power learning rate scheduler. It sparsely activates 800M parameters for each token. It is trained on a mix of open-source and proprietary datasets. PowerMoE-3B has shown promising results compared to other dense models with 2x activate parameters across various benchmarks, including natural language multi-choices, code generation, a...

Params
3.4 B
Context
4,096
Downloads 30d
1.8 M
Likes
22
Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days
1.8 M1.8 M
Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors f32 13.5 GB 15.9 GB ✅ Runs comfortably
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub
~ · curl · api/v1
$ curl -s https://aimodelscomparison.com/api/v1/models/powermoe-3b
{
  "hf_id": "ibm-research/PowerMoE-3b",
  "params_b": 3.37,
  "context_length": 4096,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 1843751,
  "vram_estimates": [
    { "quant": "f32", "gb": 15.9 }
  ],
  "updated_at": "2026-07-28T18:02:45Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
GraniteMoeForCausalLM
Parameters
3.4 B
Tensor type
F32
Context length
4,096
Vocabulary
49,152
Layers / heads
32 / 24
Licence
apache-2.0
First seen on the Hub
2024-08-14
Training datasets
undisclosed
ARC (reported)
58.1
MBPP (reported)
32.4
PIQA (reported)
79.1
BoolQ (reported)
65
Hellaswag (reported)
71.5
humaneval (reported)
20.1
OpenBookQA (reported)
41
Winogrande (reported)
65
MMLU (5 shot) (reported)
42.8
math (4 shot) (reported)
14.8
GSM8k (5 shot) (reported)
25.9
Added to our catalog
2026-07-28