microsoft / text-generation updated 7 months ago

Phi-3.5-MoE-instruct

Phi-3.5-MoE is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available documents - with a focus on very high-quality, reasoning dense data. The model supports multilingual and comes with 128K context length (in tokens). The model underwent a rigorous enhancement process, incorporating supervised fine-tuning, proximal policy optimization, and direc...

Params
41.9 B
Context
131,072
Downloads 30d
161 K
Likes
574
Commercial use: allowed mit Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days
161 K161 K
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 bf16 83.7 GB 98.9 GB ❌ Won’t fit
model.safetensors (bf16, full) bf16 + 128K ctx 83.7 GB 193.1 GB ❌ Won’t fit
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/phi-3-5-moe-instruct
{
  "hf_id": "microsoft/Phi-3.5-MoE-instruct",
  "params_b": 41.87,
  "context_length": 131072,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 161233,
  "vram_estimates": [
    { "quant": "bf16", "gb": 98.9 }
  ],
  "updated_at": "2026-07-28T18:08:58Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
PhiMoEForCausalLM
Parameters
41.9 B
Tensor type
BF16
Context length
131,072
Vocabulary
32,064
Layers / heads
32 / 32
Licence
mit
First seen on the Hub
2024-08-17
Training datasets
undisclosed
Added to our catalog
2026-07-28