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
Download history
daily snapshots · 10 days161 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.
| File | Quant | Size | Est. VRAM | Verdict 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 -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"
}
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
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