Qwen3-Coder-Next-NVFP4-GB10
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
515 K
Likes
4
Download history
daily snapshots · 25 days538 K209 K
Aug 27Sep 4Sep 12Sep 20
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 -s https://aimodelscomparison.com/api/v1/models/qwen3-coder-next-nvfp4-gb10-ucbye
{
"hf_id": "ucbye/Qwen3-Coder-Next-NVFP4-GB10",
"params_b": null,
"context_length": 262144,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 515230,
"vram_estimates": [
{ "quant": "fp16", "gb": 50.9 }
],
"updated_at": "2026-08-27T01:00:27Z"
}
Specifications
- Architecture
- Qwen3NextForCausalLM
- Context length
- 262,144
- Vocabulary
- 151,936
- Layers / heads
- 48 / 16
- Licence
- apache-2.0
- First seen on the Hub
- 2026-04-29
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-27
Compare with any text-generation model
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