--- title: "DeepSeek-R1 | Aguasto" description: "Research reference for DeepSeek-R1: official checkpoint, license and memory considerations. Documented in Aguasto Research; no Aguasto deployment or API availability is represented." canonical: "https://www.aguasto.com/models/deepseek-r1" last-updated: "2026-10-12" --- # DeepSeek-R1 | Aguasto Canonical HTML: [DeepSeek-R1](https://www.aguasto.com/models/deepseek-r1) > Research reference for DeepSeek-R1: official checkpoint, license and memory considerations. Documented in Aguasto Research; no Aguasto deployment or API availability is represented. [Aguasto](https://www.aguasto.com/) [Model Index](https://www.aguasto.com/models) DeepSeek-R1 [Resources](https://www.aguasto.com/resources) [GPU Library](https://www.aguasto.com/gpus) [Model Index](https://www.aguasto.com/models) [Inference Stack](https://www.aguasto.com/inference-stack) [Learn](https://www.aguasto.com/learn) [Insights](https://www.aguasto.com/insights) [Research](https://www.aguasto.com/research) [Engineering tools](https://www.aguasto.com/tools) DeepSeek / Open-weight checkpoint reference ## DeepSeek-R1 Documented in Aguasto Research. This checkpoint has not been evaluated or deployed by Aguasto and is not available through an Aguasto API. Original Aguasto conceptual illustration. Not manufacturer geometry, an operating Aguasto asset, or a measured benchmark. Aguasto Research documents third-party hardware, models and software. References do not represent Aguasto inventory, evaluated deployments or available inference services. ### Checkpoint identity Official identifier deepseek-ai/DeepSeek-R1[DeepSeek-R1 official model card (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1) · [DeepSeek-R1 checkpoint configuration (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1/blob/main/config.json) · [DeepSeek-R1 MIT license (external source)](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE) · [DeepSeek-V3 architecture and weight notes (external source)](https://github.com/deepseek-ai/DeepSeek-V3) Architecture Mixture-of-experts reasoning language model based on DeepSeek-V3-Base[DeepSeek-R1 official model card (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1) · [DeepSeek-R1 checkpoint configuration (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1/blob/main/config.json) · [DeepSeek-R1 MIT license (external source)](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE) · [DeepSeek-V3 architecture and weight notes (external source)](https://github.com/deepseek-ai/DeepSeek-V3) Total parameters 671 billionPublished rounded counts; total stored weights determine the preliminary footprint, including all MoE experts.[DeepSeek-R1 official model card (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1) · [DeepSeek-R1 checkpoint configuration (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1/blob/main/config.json) · [DeepSeek-R1 MIT license (external source)](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE) · [DeepSeek-V3 architecture and weight notes (external source)](https://github.com/deepseek-ai/DeepSeek-V3) Active parameters 37 billion per tokenActive parameters are a compute-related count, not the model's full stored weight count.[DeepSeek-R1 official model card (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1) · [DeepSeek-R1 checkpoint configuration (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1/blob/main/config.json) · [DeepSeek-R1 MIT license (external source)](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE) · [DeepSeek-V3 architecture and weight notes (external source)](https://github.com/deepseek-ai/DeepSeek-V3) Modalities text-input, text-output[DeepSeek-R1 official model card (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1) · [DeepSeek-R1 checkpoint configuration (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1/blob/main/config.json) · [DeepSeek-R1 MIT license (external source)](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE) · [DeepSeek-V3 architecture and weight notes (external source)](https://github.com/deepseek-ai/DeepSeek-V3) Context Not verified for this recordNative configuration where directly verified. Extensions, advertised K-labels and configuration differences are preserved in the notes below.[DeepSeek-R1 official model card (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1) · [DeepSeek-R1 checkpoint configuration (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1/blob/main/config.json) · [DeepSeek-R1 MIT license (external source)](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE) · [DeepSeek-V3 architecture and weight notes (external source)](https://github.com/deepseek-ai/DeepSeek-V3) Release date Exact release date not independently established in the reviewed artifacts[DeepSeek-R1 official model card (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1) · [DeepSeek-R1 checkpoint configuration (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1/blob/main/config.json) · [DeepSeek-R1 MIT license (external source)](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE) · [DeepSeek-V3 architecture and weight notes (external source)](https://github.com/deepseek-ai/DeepSeek-V3) Download access Public checkpoint reference[DeepSeek-R1 official model card (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1) · [DeepSeek-R1 checkpoint configuration (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1/blob/main/config.json) · [DeepSeek-R1 MIT license (external source)](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE) · [DeepSeek-V3 architecture and weight notes (external source)](https://github.com/deepseek-ai/DeepSeek-V3) License MITThe original full DeepSeek-R1 checkpoint and code are declared MIT. Preserve the copyright and permission notices. Distilled Qwen and Llama checkpoints have additional source-model license considerations and are not this record.[DeepSeek-R1 official model card (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1) · [DeepSeek-R1 checkpoint configuration (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1/blob/main/config.json) · [DeepSeek-R1 MIT license (external source)](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE) · [DeepSeek-V3 architecture and weight notes (external source)](https://github.com/deepseek-ai/DeepSeek-V3) ### Theoretical weight-memory footprint Using the publisher's approximately 671 billion total parameters at 16 bits per parameter gives **1,342 GB** (1249.8 GiB) of nominal weights. weight GB = total parameters in billions × bits per weight / 8 This estimate excludes KV cache, activations, quantization metadata, non-weight buffers and serving overhead. It is not a tested GPU fit. MoE routing activates only part of the network per token while the complete expert weights still need storage. [Explore the memory estimator](https://www.aguasto.com/tools) #### Quantization The checkpoint configuration specifies blockwise FP8. Conversion or lower precision needs an explicitly supported backend and an independent quality evaluation. [DeepSeek-R1 official model card (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1) · [DeepSeek-R1 checkpoint configuration (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1/blob/main/config.json) · [DeepSeek-R1 MIT license (external source)](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE) · [DeepSeek-V3 architecture and weight notes (external source)](https://github.com/deepseek-ai/DeepSeek-V3) ### Serving considerations - The card documents approximately 671B main-model parameters and 37B activated per token. Additional multi-token prediction weights make the downloaded artifact count larger; active count is not resident memory size. - The card advertises 128K context tokens, while config.json has max\_position\_embeddings 163,840. The advertised context is preserved here without treating that config limit as a tested usable context; no normalized context integer is asserted. - This is the original R1 checkpoint, not R1-0528 or a distilled model. Reasoning output can lengthen generation. Aguasto has not evaluated or deployed it. [DeepSeek-R1 official model card (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1) · [DeepSeek-R1 checkpoint configuration (external source)](https://huggingface.co/deepseek-ai/DeepSeek-R1/blob/main/config.json) · [DeepSeek-R1 MIT license (external source)](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE) · [DeepSeek-V3 architecture and weight notes (external source)](https://github.com/deepseek-ai/DeepSeek-V3) #### Framework documentation These are third-party documentation starting points. Support depends on the exact checkpoint, runtime version and hardware. ### Continue the research [vLLM](https://www.aguasto.com/inference-stack/vllm) [SGLang](https://www.aguasto.com/inference-stack/sglang) [Compare model references](https://www.aguasto.com/models/compare) [GPU specification library](https://www.aguasto.com/gpus) [Weights, cache and serving overhead](https://www.aguasto.com/learn/model-weights-and-runtime-memory) ### Sources & verification Reference revision 1 · Reviewed October 12, 2026. Manufacturer claims and documentation are attributed; Aguasto has not run the cited products in production. - [DeepSeek-R1 official model card ↗](https://huggingface.co/deepseek-ai/DeepSeek-R1) 671B total / 37B activated rounded main-model counts; 128K advertised context; MoE text reasoning architecture; MIT full-model declaration and distinct distill-license notes; open access; vLLM / SGLang references. Publication: date not stated in the reviewed source. Verified: 2026-10-12. - [DeepSeek-R1 checkpoint configuration ↗](https://huggingface.co/deepseek-ai/DeepSeek-R1/blob/main/config.json) 163840 config max\_position\_embeddings; blockwise FP8 quantization; multi-token prediction layer present. Publication: date not stated in the reviewed source. Verified: 2026-10-12. - [DeepSeek-R1 MIT license ↗](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE) MIT permission and copyright-notice terms. Publication: date not stated in the reviewed source. Verified: 2026-10-12. - [DeepSeek-V3 architecture and weight notes ↗](https://github.com/deepseek-ai/DeepSeek-V3) Main-model weight count differs from artifact including MTP; R1 card identifies this as its base architecture reference. Publication: date not stated in the reviewed source. 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