DeepSeek-R1-NVFP4-v2
Official · NVFP4 · safetensors
| Precision / quantization | Format | Bits | Publisher trust | Deployment state |
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DeepSeek · Reasoning · deepseek-r1
DeepSeek-R1-NVFP4-v2: Specs, GPU requirements, hosting & deployment
DeepSeek-R1-NVFP4-v2 is a recent Reasoning release in the DeepSeek family, certified from its immutable official source revision.
Reference only
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Total parametersThe manufacturer has not published this information.
Active parametersDense model
Context windowN/A / Not directly comparable
Release statusRecent · Recent
Architecture
ModalitiesText
Licensemit
Deployment stateReference only
Commercial stateCommercial Use Allowed
Release date
Architecture, strengths and use cases
DeepSeek-R1-NVFP4-v2 is an official self-hostable DeepSeek release in the DeepSeek Reasoning track. It uses The manufacturer has not published this information., carries The manufacturer has not published this information., supports a verified context window of 0 tokens, and exposes only source-certified checkpoints and runtime combinations. Its release, license and deployment facts are tied to the official repository revision rather than inferred from the family name.
DeepSeek-R1-NVFP4-v2 uses The manufacturer has not published this information. with The manufacturer has not published this information.. The stored architecture profile records layers, hidden width , attention heads and a 0 token context ceiling where the official configuration publishes those fields.
Verified The manufacturer has not published this information. architecture
Official checkpoint and pipeline evidence
Official NVFP4 checkpoint coverage
Private LLM inference
Agentic workflows
Long-context document processing
Certified checkpoints and quantizations
Only exact, source-certified variants attached to this release are shown.
Recommended hardware
Use only the listed certified runtime configuration with the exact checkpoint precision. The recommendation engine checks weight memory, KV cache, runtime overhead, safety headroom, GPU architecture and topology before ranking rentable and reference hardware.
Reference only
The official license permits commercial use; its obligations still apply.
License and self-hosting considerations
The full 0B resident weight set must fit across the selected GPUs. Context and concurrency add KV-cache memory; MoE active parameters do not replace resident-weight memory.
DeepSeek-R1-NVFP4-v2 is published under mit. The release-scoped official license link and verification date are retained with the catalogue record.
Commercial Use Allowed. The official license permits commercial use; its obligations still apply.
Alternatives and sibling variants
DeepSeek-R1, DeepSeek-R1-0528, MAI-DS-R1-FP8, MAI-DS-R1, DeepSeek-R1-0528-NVFP4-v2, DeepSeek-R1-0528-NVFP4, DeepSeek-R1-NVFP4, DeepSeek R1 0528, DeepSeek R1
Release timeline
deepseek/deepseek/deepseek-r1-nvfp4-v2
Source details
Source revision: d4a1cd9d3c6fe3d822c193ddff10683198d8ead43386e63581af64596f7b1c33
Frequently asked questions
How much VRAM does DeepSeek-R1-NVFP4-v2 require?
The exact estimate depends on checkpoint precision, context and concurrency; the page recommendation uses the certified memory engine and compatible runtime configurations.
Which runtimes support DeepSeek-R1-NVFP4-v2?
No runtime is presented as supported until upstream evidence is verified.
Can DeepSeek-R1-NVFP4-v2 be used commercially?
The stored commercial classification is Commercial Use Allowed. Consult the official mit terms for the final obligations.
Official references
Last verified: 2026-09-03