--- license: mit language: - en tags: - deepseek - moe - sovereign - text-generation - agentic - speculative-decoding pipeline_tag: text-generation base_model: deepseek-ai/DeepSeek-V4-Flash-0731 inference: false --- # 🌌 deepseek-v4-sovereign — the new sovereign AI model **SOVEREIGN's flagship model.** A sovereign-tuned derivative of [`deepseek-ai/DeepSeek-V4-Flash-0731`](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731) (304B MoE, MIT license) with an extended reasoning budget, 1M-token context, and DSpark speculative decoding — tuned on private, user-owned corpora only. ## Model card | Field | Value | |---|---| | Base | `deepseek-ai/DeepSeek-V4-Flash-0731` | | Architecture | Mixture-of-Experts (MoE) + speculative decoding (DSpark) | | Parameters | 304B total, fraction activated per token | | Context window | 1,048,576 tokens (1M) | | Max output | 384K tokens (high/max reasoning) | | Reasoning effort | `low` / `high` / `max` | | Precision | BF16 / FP16 / FP32 / FP8 (E4M3, E2M1) / INT8 | | Quantizations | 90+ model tree (GGUF/safetensors) | | License | MIT (derived) | | Paper | arXiv:2606.19348 | | Sovereign property | weights + fine-tunes stored locally; zero mandatory telemetry | ## Why "sovereign" - Runs fully locally (vLLM / SGLang / transformers) or via your own VPC. - No mandatory external API calls; HF router (`router.huggingface.co/v1`) is an *option*, not a dependency. - Fine-tuning data, adapters, and inference logs stay under your control. ## Deployment ```bash # vLLM (4×GB300 node) — DSpark speculative decoding enabled with one flag vllm serve deepseek-ai/DeepSeek-V4-Flash-0731 \ --trust-remote-code --kv-cache-dtype fp8 --block-size 256 \ --data-parallel-size 4 --enable-expert-parallel \ --moe-backend deep_gemm_mega_moe \ --speculative-config '{"method":"dspark","num_speculative_tokens":7,"draft_sample_method":"greedy"}' # SGLang sglang serve --trust-remote-code \ --model-path deepseek-ai/DeepSeek-V4-Flash-0731 \ --tp 4 --moe-runner-backend flashinfer_mxfp4 \ --speculative-algorithm DSPARK --chunked-prefill-size 4096 ``` Recommended sampling for agentic scenarios: `temperature=1.0, top_p=0.95`; otherwise `top_p=1.0`. ## Chat template No Jinja template ships with this release — encode via the OpenAI-compatible contract: `encoding_dsv4.encode_messages(messages, thinking_mode="thinking", reasoning_effort="max")` (see `models/deepseek-v4-flash-0731/` docs and `api_examples/`).