Fireworks AI
fireworks.ai › blog › deepseek-r1-deepdive
DeepSeek-R1 Overview: Features, Capabilities, Parameters
Image source: DeepSeek R1 Research Paper (Modified) Despite having a massive 671 billion parameters in total, only 37 billion are activated per forward pass, making DeepSeek R1 more resource-efficient than most similarly large models.
BentoML
bentoml.com › blog › the-complete-guide-to-deepseek-models-from-v3-to-r1-and-beyond
The Complete Guide to DeepSeek Models: V3, R1, V3.1, V3.2 and Beyond
Despite their smaller size, these ... open-sourced all six distilled models, and released their model weights, ranging from 1.5B to 70B parameters......
Videos
11:15
How Did They Do It? DeepSeek V3 and R1 Explained - YouTube
42:00
DeepSeek R1 Coldstart: How to TRAIN a 1.5B Model to REASON - YouTube
r/LLMDevs on Reddit: DeepSeek R1 671B parameter model (404GB total) ...
30:05
Running FULL DeepSeek R1 671B Locally (Test and Install!) - YouTube
DeepSeek-R1 Crash Course
How to know what size DeepSeek-R1 Model your PC can ...
Reddit
reddit.com › r/localllama › let’s goo, deppseek-r1 685 billion parameters!
r/LocalLLaMA on Reddit: let’s goo, DeppSeek-R1 685 billion parameters!
January 20, 2025 -
https://huggingface.co/deepseek-ai/DeepSeek-R1
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Other companies releasing models: pre-release hype posts, countdown timer, PR/marketing articles, benchmark evaluation, charts, alignment disclaimers, CO2 emission reports, arXiv pre-prints, model weights in the "near future". DeepSeek releasing models: dump da weights on HF.
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is it out on chat.deepseek.com ? LE: Yes
OpenRouter
openrouter.ai › deepseek › deepseek-r1 › parameters
DeepSeek: R1 | OpenRouter
DeepSeek R1 is here: Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.
Tomas Hensrud Gulla
gulla.net › en › blog › run-deepseek-r1-locally-with-all-671-billion-parameters
Run DeepSeek R1 Locally – With All 671 Billion Parameters - Tomas Hensrud Gulla
Ok, I get it, a quantized model of only 130GB isn't really the full model. Ollama's model library seem to include a full version of DeepSeek R1. It's 404GB with all 671 billion parameters – that should be real enough, right?
OpenRouter
openrouter.ai › deepseek › deepseek-r1
R1 - API, Providers, Stats | OpenRouter
DeepSeek R1 is here: Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.
Milvus
milvus.io › ai-quick-reference › what-is-the-parameter-count-of-deepseeks-r1-model
What is the parameter count of DeepSeek's R1 model?
DeepSeek's R1 model is a Mixture of Experts (MoE) architecture with a total parameter count of 145 billion, of which app
NVIDIA
build.nvidia.com › deepseek-ai › deepseek-r1 › modelcard
deepseek-r1 Model by Deepseek-ai | NVIDIA NIM
See the official DeepSeek-R1 Model Card on Hugging Face for further details. GOVERNING TERMS: This trial service is governed by the NVIDIA API Trial Terms of Service. Use of this model is governed by the NVIDIA Community Model License. Additional Information: MIT License. ... Distilled Models: Smaller, fine-tuned versions based on Qwen and Llama architectures. ... Input Type(s): Text Input Format(s): String Input Parameters: (1D) Other Properties Related to Input: DeepSeek recommends adhering to the following configurations when utilizing the DeepSeek-R1 series models, including benchmarking, to achieve the expected performance:
AWS
aws.amazon.com › blogs › machine-learning › deepseek-r1-model-now-available-in-amazon-bedrock-marketplace-and-amazon-sagemaker-jumpstart
DeepSeek-R1 model now available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart | Artificial Intelligence
February 5, 2025 - DeepSeek-R1 uses a Mixture of Experts (MoE) architecture and is 671 billion parameters in size.
Ollama
ollama.com › library › deepseek-r1
deepseek-r1
DeepSeek-R1 has received a minor version upgrade to DeepSeek-R1-0528 for the 8 billion parameter distilled model and the full 671 billion parameter model. In this update, DeepSeek R1 has significantly improved its reasoning and inference ...
Hugging Face
huggingface.co › deepseek-ai › DeepSeek-R1
deepseek-ai/DeepSeek-R1 · Hugging Face
DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks. To support the research community, we have open-sourced DeepSeek-R1-Zero, DeepSeek-R1, and six dense models distilled from DeepSeek-R1 based on Llama and Qwen.
Reddit
reddit.com › r/localllm › run the full deepseek r1 locally – 671 billion parameters – only 32gb physical ram needed!
r/LocalLLM on Reddit: Run the FULL DeepSeek R1 Locally – 671 Billion Parameters – only 32GB physical RAM needed!
December 26, 2024 - Boosting Unsloth 1.58 Quant of Deepseek R1 671B Performance with Faster Storage – 3x Speedup!
Medium
medium.com › @isaakmwangi2018 › a-simple-guide-to-deepseek-r1-architecture-training-local-deployment-and-hardware-requirements-300c87991126
A Simple Guide to DeepSeek R1: Architecture, Training, Local Deployment, and Hardware Requirements | by Isaak Kamau | Medium
January 23, 2025 - It features 671 billion parameters, utilizing a mixture-of-experts (MoE) architecture where each token activates parameters equivalent to 37 billion. This model showcases emergent reasoning behaviors, such as self-verification, reflection, and ...
Unsloth
unsloth.ai › blog › deepseekr1-dynamic
Run DeepSeek-R1 Dynamic 1.58-bit
We explored how to enable more local users to run it & managed to quantize DeepSeek’s R1 671B parameter model to 131GB in size, a 80% reduction in size from the original 720GB, whilst being very functional.
LLM Stats
llm-stats.com › home › models › deepseek-r1
DeepSeek-R1: Pricing, Context Window, Benchmarks, and More
January 20, 2025 - DeepSeek-R1 has 671.0 billion parameters.
Reddit
reddit.com › r/localllama › deepseek app - how many parameters is the model?
r/LocalLLaMA on Reddit: Deepseek App - How many parameters is the model?
January 30, 2025 -
So, it looks like Sambanova is going to be removing access to Llama 3.1 Instruct 405B for free soon, and with the release of deepseek R1, and the wide array of models they have released, it makes me wonder how many paramters the model in the app is using.
I cant find a clear answer - albeit I didn't look for TOO long. Sambanova was clearly flexing their tech by offering Llama 3.1 Instruct 405B for free at over 100 token/second - a marketing ploy. Makes sense, because to offer a model that big for free would take serious resources.
Resources I'm not sure Deepseek has, in spite of their impressive model and hedgefund daddies.
OR maybe i'm wrong, and they want to throw some weight around and put the big 671B model out for free for the whole world to see in the app. I don't think they want to burn cash like that... but maybe i'm wrong...
Anybody have any insight into how many parameters the models on the deepseek app are, that are available for public use in their free offering?
Cerebras
cerebras.ai › blog › cerebras-launches-worlds-fastest-deepseek-r1-llama-70b-inference
Cerebras Launches World Fastest DeepSeek R1 Llama-70B Inference - Cerebras
March 24, 2025 - Despite its relatively compact 70B parameter size, DeepSeek R1 Llama-70B outperforms both GPT-4o and o1-mini on challenging mathematics and coding tasks. However, reasoning models like o1 and R1 typically require minutes to compute their answers, ...
Medium
medium.com › @alice.yang_10652 › how-to-choose-the-right-version-of-deepseek-r1-for-local-deployment-read-here-b24f4d0ec6cc
How to Choose the Right Version of DeepSeek-R1 for Local Deployment? Read Here! | by Alice Yang | Medium
February 11, 2025 - Typically, each parameter in DeepSeek-R1 models requires 4 bytes (32-bit).
LM Studio
lmstudio.ai › blog › deepseek-r1
DeepSeek R1: open source reasoning model | LM Studio Blog
January 29, 2025 - According to several popular reasoning benchmarks like AIME 2024, MATH-500, and CodeForces, the open-source flagship 671B parameter DeepSeek-R1 model performs comparably to OpenAI's full-sized o1 reasoning model.
Reddit
reddit.com › r/localllama › what model is deepseek-r1 online?
r/LocalLLaMA on Reddit: What model is DeepSeek-R1 online?
January 28, 2025 -
excuseme if this is dumb question, im complete amateur in this, but im curious: i know you can download different models of DeepSeek-R1 localy and they ranging from 1,5gb size up to 402gb.. but what of this models use online version of DeepSeek? Thank you.
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The web interface, as well as the official API, use the actual, full, 671B R1 model. ALL other "R1" models are finetunes of existing architectures (Llama 3.3 and Qwen 2.5).
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Unless you have a server farm of R100's you are downloading Llama and Qwen models fine tuned on DeepSeek R1 reasoning traces. These fine tunes/distills make the models 'smarter' - better able to solve reasoning tasks, but they are smarter relative to their base model. If you start with a 'dumb model' making it smarter doesn't make it a genius, just 'less dumb'. According to reports the 32B Qwen distill is about the equivalent of o1-mini. To run the 'real DeepSeek R1' requires absurd hardware or tricks to run it efficiently.