---
license: apache-2.0
tags:
  - deepseek-v4
  - vllm
  - dgx-spark
  - blackwell
  - sm120
  - sm121
  - docker-image
  - gb10
---

# vllm-w4a16-dsv4:exp — pre-built Docker image for DGX Spark TP=2

This dataset hosts a pre-built OCI tarball of the Docker image used to serve
[`pastapaul/DeepSeek-V4-Flash-W4A16-FP8`](https://huggingface.co/pastapaul/DeepSeek-V4-Flash-W4A16-FP8)
on dual DGX Spark GB10 (SM 12.1a) — for users who can't build the image
themselves due to network constraints.

The image is also fine for 2× RTX PRO 6000 Blackwell Server (SM 12.0).

## What's inside

vLLM build pinned to:

- **`jasl/vllm@ds4-sm120-experimental`** (HEAD `c05638d70` after cherry-pick) — SM12x DSV4 support + experimental superset (split-KV decode, GB10 fused-MoE config aliases, tuned MLA graph defaults)
- **Cherry-pick** `f910a73a93` from `neuralmagic/vllm@kylesayrs/deepseek-ct` (vLLM PR #41276 — DSV4 compressed-tensors attention)
- **Local patch** [`patch_v4_packed_mapping.py`](https://github.com/pasta-paul/dsv4-flash-w4a16-fp8/blob/main/scripts/patch_v4_packed_mapping.py) — adds `packed_modules_mapping` to `DeepseekV4ForCausalLM`
- Workspace pre-reservation patch is **not** applied — landed upstream as `jasl/vllm@1d6f5c4`

Compressed tarball: ~9 GB. Uncompressed image: 20.2 GB. ARM64 only.

## How to use

```bash
# Download
huggingface-cli download pastapaul/dsv4-flash-w4a16-spark-image \
  vllm-w4a16-dsv4-exp.tar.gz \
  --repo-type dataset \
  --local-dir .

# Load on each Spark
gunzip -c vllm-w4a16-dsv4-exp.tar.gz | docker load

# Verify
docker images vllm-w4a16-dsv4:exp
```

Once loaded on both Sparks, you can use the bootstrap script with `--skip-build`:

```bash
curl -fsSLO https://raw.githubusercontent.com/pasta-paul/dsv4-flash-w4a16-fp8/main/scripts/bootstrap_dsv4_spark.sh
chmod +x bootstrap_dsv4_spark.sh
./bootstrap_dsv4_spark.sh \
  --head-host spark-a \
  --worker-host spark-b \
  --skip-build
```

The script will then handle network setup, model pre-cache (no HF token needed), container launch on both nodes, and wait for `/health=200`.

## What you get

Production canonical at **1 M-token context** TP=2 graphs-ON:
- decode 12 t/s smoke / 14–15 t/s think-max sustained
- NIAH 4/4 retrieval at 200K-token haystack
- mini-suite 10/10 PASS · think-max 3/3 PASS
- GSM8K 95.00% strict / 94.92% flex (preserved from prior canonical)
- tool calling: parallel function calls with structured arguments

## Reference docs

- Model: https://huggingface.co/pastapaul/DeepSeek-V4-Flash-W4A16-FP8
- Reproduction repo + raw evidence: https://github.com/pasta-paul/dsv4-flash-w4a16-fp8
- Quickstart: https://github.com/pasta-paul/dsv4-flash-w4a16-fp8/blob/main/findings/QUICKSTART_DUAL_SPARK.md
- Phase 4e validation report: https://github.com/pasta-paul/dsv4-flash-w4a16-fp8/blob/main/findings/spark_tp2_deployment.md#phase-4e--production-canonical-at-1-m-context-on-ds4-sm120-experimental-2026-05-06