Qwen / text-generation updated 10 months ago

Qwen3-30B-A3B-Instruct-2507-FP8

Name: Qwen3-30B-A3B-Instruct-2507-FP8
Author: Qwen

We introduce the updated version of the Qwen3-30B-A3B-FP8 non-thinking mode, named Qwen3-30B-A3B-Instruct-2507-FP8, featuring the following key enhancements:

Params

30.5 B

Context

262,144

Downloads 30d

588 K

Likes

130

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

590 K559 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	f8_e4m3	31.2 GB	39.4 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 256K ctx	31.2 GB	181.3 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/qwen3-30b-a3b-instruct-2507-fp8
{
  "hf_id": "Qwen/Qwen3-30B-A3B-Instruct-2507-FP8",
  "params_b": 30.53,
  "context_length": 262144,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 587532,
  "vram_estimates": [
    { "quant": "f8_e4m3", "gb": 39.4 }
  ],
  "updated_at": "2026-07-28T18:04:46Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Qwen3MoeForCausalLM
Parameters: 30.5 B
Tensor type: F8_E4M3
Context length: 262,144
Vocabulary: 151,936
Layers / heads: 48 / 32
Licence: apache-2.0
First seen on the Hub: 2025-07-28
Base model: Qwen3-30B-A3B-Instruct-2507
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Base Qwen3-30B-A3B-Instruct-2507 Qwen 1.9 M

Compare with

Qwen3-8B 16.3 M Qwen3.6-35B-A3B-NVFP4 11.3 M gpt-oss-20b 8.6 M Qwen3-32B 8.3 M dolphin-2.9.1-yi-1.5-34b 4.6 M OTel-2.0-LLM-31B-IT 3.3 M

Appears in

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