Initial README

README.md

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+---
+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