ollama deepseek-r1 671b - Brave Search

ollama.com › library › deepseek-r1:671b

deepseek-r1:671b

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 ...

datacamp.com › tutorial › deepseek-r1-ollama

How to Set Up and Run DeepSeek-R1 Locally With Ollama | DataCamp

January 30, 2025 - Ollama offers a range of DeepSeek R1 models, spanning from 1.5B parameters to the full 671B parameter model. The 671B model is the original DeepSeek-R1, while the smaller models are distilled versions based on Qwen and Llama architectures.

Videos

How to Run Deepseek R1 Locally Using Ollama, Chatbox AI, and LM ...

January 25, 2025

Run DeepSeek R1 Models Locally with Ollama - YouTube

January 24, 2025

AgenticSeek - Manus-like AI with Deepseek R1 Agents - Install Locally ...

Qwen QwQ 32b Local AI on Ollama BETTER than Deepseek R1 671b?! ...

Install Ollama & Run DeepSeek AI Locally Offline | Fix "Max ...

February 16, 2025

Running Deepseek-R1 671B without a GPU - YouTube

ollama.com › SIGJNF › deepseek-r1-671b-1.58bit

SIGJNF/deepseek-r1-671b-1.58bit

Unsloth's DeepSeek-R1 1.58-bit, I just merged the thing and uploaded it here. This is the full 671b model, albeit dynamically quantized to 1.58bits.

ollama.com › Huzderu › deepseek-r1-671b-1.73bit

Huzderu/deepseek-r1-671b-1.73bit

Unsloth’s DeepSeek-R1 671B 1.73-bit dynamic quantization, merged GGUF files for Ollama.

reddit.com › r/ollama › deepseek-r1 671b - windows 11

r/ollama on Reddit: deepseek-r1 671B - windows 11

October 7, 2024 -

Hi guys,
I got 2 questions:

1. How can i change the folder where models are downloaded / inserted to for ollama? Currently its the standard path on C i guess i want to change it to D.

ollama run deepseek-r1:671b ->

2. Will my PC be able to run it ?

Prozessor Intel(R) Core(TM) i7-14700KF 3.40 GHz

Installierter RAM 48,0 GB (47,8 GB verwendbar)

GTX 4080

There’s a bigger chance that I marry Margot Robbie as my second wife than there is of you being able to run this model on those system specs. With that being said — did you try running a quantized version of the model?

Not a chance of running it

Digital Spaceport

digitalspaceport.com › how-to-run-deepseek-r1-671b-fully-locally-on-2000-epyc-rig

How To Run Deepseek R1 671b Fully Locally On a $2000 EPYC Server – Digital Spaceport

Holy cow you got here! Nice job, I am impressed! Click new chat in the upper left of the window. Deepseek-r1:671b should be there already. Give it a hello. Nice job! In conclusion, we installed a fully functional bare metal Ollama + OpenWEBUI setup. I am SURE there are a lot of other great runners out there like llama.cpp, exo, and vLLM but those will be separate guides when I get a decent handle on working them.

ollama.com › search

deepseek · Ollama Search

DeepSeek-R1 is a family of open reasoning models with performance approaching that of leading models, such as O3 and Gemini 2.5 Pro · 74.9M Pulls 35 Tags Updated 5 months ago

markaicode.com › home › ollama › how to install deepseek-r1 671b with ollama v0.9.2: complete step-by-step guide 2025

How to Install DeepSeek-R1 671B with Ollama v0.9.2: Complete Step-by-Step Guide 2025 | Markaicode

June 23, 2025 - Your laptop just became smarter than most data centers. DeepSeek-R1 671B delivers reasoning performance approaching O3 and Gemini 2.5 Pro, and you can run it locally with Ollama v0.9.2.

ollama.com › search

deepseek-r1 · Ollama Search

DeepSeek-R1 is a family of open reasoning models with performance approaching that of leading models, such as O3 and Gemini 2.5 Pro · 74.4M Pulls 35 Tags Updated 5 months ago

Find elsewhere

Google Bing Mojeek

ollama.com › emsi › deepseek-r1-671b-1.58bit

emsi/deepseek-r1-671b-1.58bit

| **Model** | **#Total Params** | **#Activated Params** | **Context Length** | **Download** | | :------------: | :------------: | :------------: | :------------: | :------------: | | DeepSeek-R1-Zero | 671B | 37B | 128K | [🤗 HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-R1-Zero) | | DeepSeek-R1 | 671B | 37B | 128K | [🤗 HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-R1) |

reddit.com › r/singularity › running deepseek-r1 671b locally with olama.

r/singularity on Reddit: Running DeepSeek-R1 671b locally with olama.

September 4, 2024 -

Seems like it works but is far from straightforward and you really need a beast of a local setup to run this well.

Yes, you need 10 H100s

ollama.com › library › deepseek-r1

deepseek-r1:671b · 404GB · 160K ... 160K · Text · 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....

github.com › ollama › ollama › issues › 8954

Deepseek-R1 model update · Issue #8954 · ollama/ollama

Yesterday there was some new model added to ollama site library Deepseek R1 family: 671b-q4_K_M Could you please tell the difference with 671b, updated 2 weeks ago? In model 671b-q4_K_M run string ...

ollama.com › library › deepseek-r1:671b › blobs › 6e4c38e1172f

deepseek-r1:671b/license

deepseek-r1:671b · 48.2M Downloads Updated 1 week ago · thinking 1.5b 7b 8b 14b 32b 70b 671b · deepseek-r1:671b ... / license · 6e4c38e1172f · 1.1kB · MIT License · Copyright (c) 2023 DeepSeek · Permission is hereby granted, free of charge, to any person obtaining a copy ·

github.com › ollama › ollama

GitHub - ollama/ollama: Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

ollama run deepseek-r1 · DeepSeek-R1 · 671B · 404GB · ollama run deepseek-r1:671b · Llama 4 · 109B · 67GB · ollama run llama4:scout · Llama 4 · 400B · 245GB · ollama run llama4:maverick · Llama 3.3 · 70B · 43GB · ollama run llama3.3 · Llama 3.2 · 3B ·

Starred by 158K users

Forked by 14K users

Languages Go 52.7% | C 37.2% | TypeScript 5.8% | C++ 2.0% | Objective-C 0.9% | Shell 0.7%

github.com › ollama › ollama › issues › 8667

deepseek-r1:671b Q4_K_M: error="model requires more system memory (446.3 GiB) than is available · Issue #8667 · ollama/ollama

January 29, 2025 - However, when I attempt to load the model using Ollama, I encounter an error indicating that the model requires more system memory (446.3 GiB) than is available (37.3 GiB). This is perplexing, given the MoE architecture’s supposed efficiency and the Q4 quantization. I came across a discussion where a user successfully ran the Q8_0 GGUF version of DeepSeek-R1 671B on a CPU-only system with 256GB of RAM.

Published Jan 29, 2025

ollama.com › SIGJNF › deepseek-r1-671b-1.58bit › blobs › 369ca498f347

SIGJNF/deepseek-r1-671b-1.58bit/template

Unsloth's DeepSeek-R1 1.58-bit, I just merged the thing and uploaded it here. This is the full 671b model, albeit dynamically quantized to 1.58bits.

ori.co › blog › how-to-run-deepseek-r1

How to run DeepSeek R1 on a cloud GPU with Ollama | Ori

Distill the reasoning capability from DeepSeek-R1 to small dense models.To equip more efficient smaller models with R1-like reasoning capabilities, DeepSeek directly fine-tuned open-source models like Qwen and Llama using the 800k samples curated with DeepSeek-R1. Distillation transfers knowledge and capabilities of a large, teacher model ( in this case DeepSeek R1 671B) to a smaller, student model (such as the Llama 3.3 70B).

ollama.com › library › deepseek-r1:671b › blobs › 9801e7fce27d

deepseek-r1:671b/model

deepseek-r1:671b · 64.3M Downloads Updated 3 months ago · tools thinking 1.5b 7b 8b 14b 32b 70b 671b · deepseek-r1:671b ... / model · 9801e7fce27d · 404GB · Metadata · general.architecture · deepseek2 · deepseek2 · general.file_type · Q4_K_M · Q4_K_M ·