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Dealign.ai
DeepSeek-V4-Flash-0731-CRACK-NVFP4
Uncensored DeepSeek-V4-Flash-0731 — safety refusals removed while fully preserving knowledge,
reasoning (controllable effort), tool-calling, and DSpark speculative decoding. Native
FP8 + FP4 (NVFP4-class) checkpoint (~167 GB), built to serve tensor-parallel across two
NVIDIA GB10 / DGX Spark nodes.
Research artifact with reduced safety guardrails. Use responsibly and lawfully.
Model
- Base:
deepseek-ai/DeepSeek-V4-Flash-0731 (43-layer MoE, 256 routed + 1 shared expert, MLA,
sliding-window attention, ~1M context via YaRN). Native quant: FP8 (attention + shared experts)
- FP4 (routed experts), DSpark MTP head — all preserved. Serves unchanged in the DeepSeek-V4 vLLM path.
Benchmarks (vs. base, same checkpoint, on 2×GB10 TP2)
HarmBench compliance by category
240 behaviors, answer-channel (no-refusal) compliance, greedy:
Knowledge and reasoning are fully retained — MMLU is within noise (slightly higher). Compliance is
measured on the answer channel.
Recommended sampling
Official DeepSeek-V4-Flash defaults, stamped as this repo's generation_config.json:
These are applied automatically when a request omits sampling params. Override per-request as needed.
Serving (2× DGX Spark GB10, tensor-parallel-2)
Requires the DeepSeek-V4 vLLM path for sm_121 (e.g. the jasl/vllm GB10 build). Head + worker
over a RoCE point-to-point link, TP=2 + expert-parallel, fp8 KV cache, DSpark spec-decode, 384K ctx.
See the included serve/ scripts. Key flags:
Reasoning effort
Controllable thinking (low / high / max) via the reasoning system preface; the reasoning trace is
returned as reasoning_content, the answer as content. Note: thinking mode reasons at length —
allow ≥2500 output tokens or the answer may be truncated.
Tools
DeepSeek-V4 tool-call parser; pass OpenAI-style tools to the chat endpoint.
License
MIT (inherits the upstream DeepSeek-V4-Flash license terms). Review before use.
Contact
eric@dealign.ai