Text / deepseek-ai

DeepSeek V4 Pro 0813

DeepSeek V4 Pro 0813 is an official text-generation model from DeepSeek AI, released under the MIT license. It builds on the DeepSeek-V4-Pro (Preview) model structure and adds a DSpark speculative decoding module. The model is intended to offer enhanced agentic capabilities and performance improvements, particularly in production environments.

EstimatedRepository opened Aug 13, 2026Source checked 9/23/2026Version: 72e1d323

LOCALRENTED GPUOPEN WEIGHTS

Freshness 78 out of 100. Repository age: 63 days old, Aug 13, 2026. Measures age, not quality.

Popularity 71 out of 100. 141,935 downloads in 30 days; 897 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.

What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source

Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source

Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method

At a glance

Parameters: 1650.50B
Architecture: deepseek_v4
Context length: 1,048,576
License: mit
Disk space: 831.4 GB
Software: SGLang, vLLM, Publisher PyTorch reference

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Best for

Text generation
Agentic tasks
Code-agent tasks
Full-stack development tasks
Repository-level tasks

Tradeoffs

Does not include a Jinja-format chat template.
Provided model facts do not specify hardware requirements.
Provided model facts do not specify compatibility.
Provided model facts do not specify performance characteristics beyond benchmark tables.
Provided model facts do not include testing recommendations.

Ways to run it

SGLang · Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

sglang serve  --trust-remote-code  --model-path deepseek-ai/DeepSeek-V4-Pro-0813  --tp 4  --moe-runner-backend flashinfer_mxfp4  --speculative-algorithm DSPARK  --mem-fraction-static 0.90  --chunked-prefill-size 4096  --swa-full-tokens-ratio 0.1

Official instructions

vLLM · Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

vllm serve deepseek-ai/DeepSeek-V4-Pro-0813  --trust-remote-code --kv-cache-dtype fp8 --block-size 256  --data-parallel-size 4 --enable-expert-parallel  --moe-backend deep_gemm_mega_moe  --attention-config '{"use_fp4_indexer_cache": true}'  --speculative-config '{"method":"dspark","num_speculative_tokens":7,"draft_sample_method":"greedy"}'

Official instructions

Publisher PyTorch reference · Linux / rented GPU

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

torchrun --nproc-per-node ${MP} generate.py --ckpt-path ${SAVE_PATH} --config ${CONFIG} --interactive

Official instructions

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SAFETENSORSTEXT-GENERATION

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A compressed 27B-class reasoning model with publisher-provided GGUF packs and a dedicated llama.cpp fork for CUDA, Metal, and CPU.

Freshness 90 out of 100. Release age: 28 days old, Sep 17, 2026. Measures age, not quality.

MODEL SIZE27.36B

LOCALRENTED GPU

Released Sep 17, 2026

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DeepSeek V4.1 Flash

A multimodal reasoning model with a compressed key-value cache, published as open weights.

Freshness 87 out of 100. Repository age: 35 days old, Sep 10, 2026. Measures age, not quality.

Arena Open Source Text: rank 5 of 225. Ranked model: deepseek-v4.1-flash-max. Export dated Oct 13, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.+3

LOCALRENTED GPU

Repository opened Sep 10, 2026

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