gdubicki / text-generation updated 3 months ago

Qwen3-Coder-Next-NVFP4-GB10

Name: Qwen3-Coder-Next-NVFP4-GB10
Author: gdubicki

Weights are byte-identical to the upstream quant (config.json and model.safetensors.index.json SHA-256 verified). This mirror exists to provide a pinned, stable, ungated reference for the qwen3-coder-next deployment project on DGX Spark (GB10). Use the upstream repo if you want to track author updates.

Params

—

Context

262,144

Downloads 30d

176 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (4 recorded)

176 K downloads in the last 30 days

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	fp16	45.8 GB	50.9 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 256K ctx	45.8 GB	50.9 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-coder-next-nvfp4-gb10
{
  "hf_id": "gdubicki/Qwen3-Coder-Next-NVFP4-GB10",
  "params_b": null,
  "context_length": 262144,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 176466,
  "vram_estimates": [
    { "quant": "fp16", "gb": 50.9 }
  ],
  "updated_at": "2026-08-03T01:00:31Z"
}

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

Specifications

Architecture: Qwen3NextForCausalLM
Context length: 262,144
Vocabulary: 151,936
Layers / heads: 48 / 16
Licence: apache-2.0
First seen on the Hub: 2026-04-16
Training datasets: undisclosed
Added to our catalog: 2026-08-03

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB