Qwen3.8-27B-DSpark
A DSpark speculative-decoding draft model for Qwen3.8-27B target models, trained with SpecForge and served with SGLang.
Params
1.9 B
Context
262,144
Downloads 30d
329 K
Likes
83
Download history
daily snapshots · 20 days416 K199 K
Sep 2Sep 8Sep 15Sep 21
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 | 3.7 GB | 4.9 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 256K ctx | 3.7 GB | 13.5 GB | ✅ Runs comfortably |
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/qwen3-8-27b-dspark
{
"hf_id": "RadixArk/Qwen3.8-27B-DSpark",
"params_b": 1.86,
"context_length": 262144,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 328736,
"vram_estimates": [
{ "quant": "bf16", "gb": 4.9 }
],
"updated_at": "2026-09-02T01:00:33Z"
}
Specifications
- Architecture
- DSparkDraftModel
- Parameters
- 1.9 B
- Tensor type
- BF16
- Context length
- 262,144
- Vocabulary
- 248,320
- Layers / heads
- 5 / 32
- Licence
- other
- First seen on the Hub
- 2026-08-14
- Base model
- Qwen3.8-27B-NVFP4
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-02
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model