DeepSeek-R1-0528-Qwen3-8B

8.19B parameters, text in, text out, 128K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #132 in LLMs · score 94.5 method v1 Sources 3 Downloads 30d 354.1k · #197 of 619 tracked

Changed this week: 2 new quantized builds on the Hub (90 in all).2026-10-24 · 1 new quantized build on the Hub (89 in all).2026-10-24

Can I run it?4.9GB at INT4Estimatefits a 16 GB cardmethod

Can I use it?MITPermissivelicence file2026-10-24

Do people use it?354.1kdownloads, 30 days#197 of 619 we track · top 32%+5 likes, downloads −27% this week1,125 likesHugging Face2026-10-24

Worth reading

Picked by rule from 34 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Most discussed · 1,843 HN pts

DeepSeek-R1

github.com 2025-01-20 1,843 HN pts · 663 comments 2.1k words about the DeepSeek R1 family family

Latest · 6 months ago

ZAYA1-8B matches DeepSeek-R1 on math with less than 1B active parameters

Zyphra released ZAYA1-8B, a model that matches DeepSeek-R1 on math benchmarks while using less than 1 billion active parameters.

The model was trained entirely on a 1,024 node AMD cluster built with IBM using AMD Pensando Pollara interconnect.
Zyphra trained ZAYA1-8B end to end on AMD Instinct MI300X GPUs for pretraining, midtraining, and supervised fine-tuning.

firethering.com 2026-05-07 117 HN pts · 56 comments 1.3k words about the DeepSeek R1 family family

25 best of 34 tracked

The 2 picks above, plus these 23. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

PaperDeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RLarxiv.org · 2025-01-25 · 1,351 HN pts
ArticlePromising results from DeepSeek R1 for codesimonwillison.net · 2025-01-28 · 979 HN pts
ArticleRun DeepSeek R1 Dynamic 1.58-bitunsloth.ai · 2025-01-28 · 767 HN pts
ArticleOpen-R1: an open reproduction of DeepSeek-R1huggingface.co · 2025-01-28 · 394 HN pts
CodeDeepseek R1 Distill 8B Q40 on 4 x Raspberry Pi 5github.com · 2025-02-15 · 306 HN pts
ArticleHow to Run DeepSeek R1 671B Locally on a $2000 EPYC Serverdigitalspaceport.com · 2025-02-01
CodeDeepSeek-R1-671B-Q4_K_M with 1 or 2 Arc A770 on Xeongithub.com · 2025-03-06
ArticleThe Illustrated DeepSeek-R1newsletter.languagemodels.co · 2025-01-27 · 578 HN pts
ArticleDeepSeek R1 Is Now Available on Azure AI Foundry and GitHubazure.microsoft.com · 2025-01-29 · 109 HN pts
DiscussionComplete hardware and software setup for running Deepseek-R1 locallytwitter.com · 2025-01-29 · 250 HN pts
CodeTinyZero: Reproduction of DeepSeek R1 Zero in countdown and multiplication tasksgithub.com · 2025-01-25
CodeOpen Reproduction of DeepSeek-R1github.com · 2025-01-27
ArticleOfficial DeepSeek R1 Now on Ollamaollama.com · 2025-01-20
ArticleBerkeley Researchers Replicate DeepSeek R1's Core Tech for Just $30: A Small Modxyzlabs.substack.com · 2025-01-28
CodeImplementing DeepSeek R1's GRPO algorithm from scratchgithub.com · 2025-04-13
ArticleMini-R1: Reproduce DeepSeek R1 "Aha Moment"philschmid.de · 2025-01-31
DiscussionDeepSeek R1 671B running on 2 M2 Ultras faster than reading speedtwitter.com · 2025-01-29
ArticleHow to run DeepSeek R1 locallyworkos.com · 2025-01-29
ArticleDeepSeek R1 0528 Qwen3 8B - Intelligence, Performance ...artificialanalysis.ai · undated
ArticleDeepSeek R1 0528 — Architecture, Evals & Inference Performance | InferenceXinferencex.semianalysis.com · undated
ArticleHow to Run DeepSeek R1 Distilled Reasoning Models on RyzenAI and Radeon GPUsguru3d.com · 2025-02-02
ArticleA new, faster DeepSeek R1-0528 variant appears from German labventurebeat.com · 2025-07-05
ArticleRunning DeepSeek R1 Models Locally on NPUblogs.windows.com · 2025-02-01

Show all 23

Where to run it

Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.

#	Cheapest live row	In /1M	Out /1M	Context	Quant	Seen
1	Featherless	—	—	—	—	Oct 25

All 1 provider →

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

Served by 1 API provider; heavily run locally (90 quantized builds); a big base for builders (117 fine-tunes, adapters and merges).

As a service1Featherless
On own hardware90quantized builds
Built on11768 fine-tunes · 15 adapters · 34 merges
In apps100+Hugging Face Spaces

Top Spaces running it: pliny-the-prompter/obliteratus ♥ 621 · jairwaal/image ♥ 16 · viktor-hu/novita-anysite ♥ 14 · umint/openwebui ♥ 6

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 16 GB card at INT4

About 4.9 GB at INT4, 9.8 GB at FP8, 20 GB at BF16: weights only, so leave room for the KV cache.

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

Most coverage came in the first two weeks

Teal is the weights (2025-05-29), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.

What people built on it

207 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

207 derivatives on the Hub, led by 90 quantized

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

GGUF unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF for llama.cpp, Ollama, LM Studio 3M downloads MLX lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit for Apple silicon 5.9M downloads INT4 Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound for vLLM, SGLang 440.9k downloads

All variants →

Reference

Everything else, folded: the full tables, every source.

Benchmarks

5 rows

Benchmarks 5 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (5)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.

Benchmark	Value	Setting / notes	Reported by	Date
author-reported AIME 2024 · Reason through hard problems	86	DeepSeek-R1-0528-Qwen3-8B	model author	2026-10-07
author-reported AIME 2025 · Reason through hard problems	76.3	DeepSeek-R1-0528-Qwen3-8B	model author	2026-10-07
author-reported GPQA Diamond · Reason through hard problems	61.1	DeepSeek-R1-0528-Qwen3-8B	model author	2026-10-07
author-reported HMMT · Reason through hard problems	61.5	DeepSeek-R1-0528-Qwen3-8B	model author	2026-10-07
author-reported LiveCodeBench · Write code with agents	60.5	DeepSeek-R1-0528-Qwen3-8B	model author	2026-10-07

What the card says

1 cited sentence

Summary generated, cited

The model was created by distilling chain-of-thought from DeepSeek-R1-0528 and is released under the MIT license.^[1]^[2]

“distilled the chain-of-thought from DeepSeek-R1-0528”
license

Generated 2026-10-07 15:01 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

6 use cases

What it is good at 6 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Reason through hard problemsauthor-reportedAuthor reports AIME 24 86.0 Author reports AIME 25 76.3 Author reports HMMT Feb 25 61.5 +3 more
Write code with agentsauthor-reportedAuthor reports LiveCodeBench (2408-2505) 60.5
Chat and follow instructionsstructuraldecision-model estimate p=0.99 tag: conversational chat template present
Call tools and APIsstructuralchat template: tool_calls
Read long documentsstructuralconfig: 131,072 context
Run on a laptop or phonestructuralfits: single-gpu

Facts

20 fields

Listed in LLMs

Facts

DeepSeek-R1-0528-Qwen3-8B has 8.19B parameters. (safetensors metadata, observed 2026-10-24)
Context length is 131,072 tokens (128K). (config.json max_position_embeddings, observed 2026-10-24)
License: MIT (friction: none). Permissive. (license file, observed 2026-10-24)
Created 2025-05-29, last modified 2025-05-29. (HF API, observed 2026-10-24)

Pipeline tag	text-generation
Library	transformers
Architectures	Qwen3ForCausalLM
Model type	qwen3
Dtype	bfloat16
Params by dtype	BF16: 8,190,735,360
Size band	M
MoE	no
Context length	131,072 (config.json max_position_embeddings)
Papers	arXiv:2501.12948
License	MIT (mit)
Hub snapshot	2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Qwen3ForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen3ForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for DeepSeek-R1-0528-Qwen3-8B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)	20 GB · Single GPU (<24 GB)
FP8 (1 byte/param)	9.8 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)	4.9 GB · Single GPU (<24 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

40 variants

Lineage

Original model Family: deepseek-ai/DeepSeek-R1 207 derivatives on the Hub

quantized: 90finetune: 68merge: 34adapter: 15

Top variants (40 shown, ranked by downloads)

Variant	Relation	Quant	Params	Band	License	Author	Likes	Downloads
lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit	quantized	MLX	8.19B	M	mit	lmstudio-community	19	5.9M
lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit	quantized	MLX	8.19B	M	mit	lmstudio-community	24	5.5M
unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	mit	unsloth	472	3M
MaziyarPanahi/DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	—	MaziyarPanahi	11	2.2M
lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	mit	lmstudio-community	56	1.5M
Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound	quantized	int4	2.18B	M	mit	Intel	6	440.9k
unsloth/DeepSeek-R1-0528-Qwen3-8B-unsloth-bnb-4bit	quantized	-bnb	8.38B	M	mit	unsloth	13	170.5k
unsloth/DeepSeek-R1-0528-Qwen3-8B-bnb-4bit	quantized	-bnb	8.41B	M	mit	unsloth	9	138.3k
bartowski/deepseek-ai_DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	mit	bartowski	52	118.7k
unsloth/DeepSeek-R1-0528-Qwen3-8B	finetune	—	8.19B	M	mit	unsloth	19	70.6k
mlx-community/DeepSeek-R1-0528-Qwen3-8B-4bit	quantized	-4bit	8.19B	M	mit	mlx-community	8	35.2k
mlx-community/DeepSeek-R1-Qwen3-0528-8B-4bit-AWQ	finetune	-4bit	8.19B	M	mit	mlx-community	4	13.7k
stelterlab/DeepSeek-R1-0528-Qwen3-8B-AWQ	quantized	AWQ	8.19B	M	mit	stelterlab	7	13k
Sci-fi-vy/DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	mit	Sci-fi-vy	1	12k
mlx-community/DeepSeek-R1-0528-Qwen3-8B-4bit-DWQ	quantized	-4bit	8.19B	M	mit	mlx-community	8	10.1k
Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1	finetune	—	8.19B	M	—	Goekdeniz-Guelmez	35	8k
OpceanAI/Yuuki-RxG	finetune	—	8.19B	M	apache-2.0	OpceanAI	4	8.8k
ArliAI/DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small	finetune	—	8.19B	M	apache-2.0	ArliAI	21	6.9k
mradermacher/DeepSeek-R1-0528-Qwen3-8B-i1-GGUF	quantized	GGUF	—	—	mit	mradermacher	2	7.7k
QuantTrio/DeepSeek-R1-0528-Qwen3-8B-GPTQ-Int4-Int8Mix	quantized	GPTQ	10.6B	L	mit	QuantTrio	4	7.5k
brittlewis12/DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	mit	brittlewis12	0	7.2k
huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated	finetune	—	8.19B	M	mit	huihui-ai	43	4.2k
mradermacher/DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	mit	mradermacher	1	5.8k
muranAI/DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	mit	muranAI	1	5.1k
FastFlowLM/DeepSeek-R1-0528-Qwen3-8B-NPU2	finetune	—	—	—	mit	FastFlowLM	0	4.8k
second-state/DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	mit	second-state	0	4.1k
mmnga/DeepSeek-R1-0528-Qwen3-8B-gguf	quantized	gguf	—	—	mit	mmnga	0	3.9k
gabriellarson/DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	mit	gabriellarson	0	3.2k
n00b001/DeepSeek-R1-0528-Qwen3-8B-Q4_K_M-GGUF	quantized	GGUF	—	—	mit	n00b001	2	3k
Antigma/DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	mit	Antigma	0	3k
yousanai/DeepSeek-R1-0528-Qwen3-8B-Q4_K_M-GGUF	quantized	GGUF	—	—	mit	yousanai	0	2.8k
DevQuasar/deepseek-ai.DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	—	DevQuasar	0	2.5k
saidutta69/DeepSeek-R1-Qwen3-8B-heretic	finetune	GGUF	8.19B	M	mit	saidutta69	1	2.3k
CalvoMaster/DeepSeek-R1-0528-Qwen3-8B-Q4_K_M-GGUF	quantized	GGUF	—	—	mit	CalvoMaster	0	2k
enacimie/DeepSeek-R1-0528-Qwen3-8B-Q4_K_M-GGUF	quantized	GGUF	—	—	mit	enacimie	0	1.9k
S-Expr/DeepSeek-R1-0528-Qwen3-8B-Q4_K_M-GGUF	quantized	GGUF	—	—	mit	S-Expr	0	1.9k
gaianet/DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	mit	gaianet	0	1.9k
SHIBA212121/DeepSeek-R1-0528-Qwen3-8B-Q5_K_M-GGUF	quantized	GGUF	—	—	mit	SHIBA212121	0	1.8k
ReallyFloppyPenguin/DeepSeek-R1-0528-Qwen3-8B-GGUF	quantized	GGUF	—	—	apache-2.0	ReallyFloppyPenguin	0	1.8k
bullerwins/DeepSeek-R1-0528-Qwen3-8B-fp8	quantized	-fp8	8.19B	M	mit	bullerwins	1	1.7k

Repository changelog

3 commits

changed in the last 7 daysOther: 2026-10-24, 2026-10-24all changes

Repository changelog 3 commits

Date	Commit	SHA
2025-05-29	Small fix	6e8885a
2025-05-29	Add files using upload-large-folder tool	7674590
2025-05-29	initial commit	1b2812a

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for DeepSeek-R1-0528-Qwen3-8B, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting.

Provider	Model ref	Context	Quant	$/M in	$/M out	tok/s	TTFT	Tools	Status	Observed
Featherless hf	deepseek-ai/DeepSeek-R1-0528-Qwen3-8B	—	—	—	—	—	—	—	live	2026-10-25

Articles and coverage

34 pieces

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.

Analysis9

ZAYA1-8B matches DeepSeek-R1 on math with less than 1B active parameters

firethering.com2026-05-07HN front pageabout the DeepSeek R1 familyHN 117 pts · 56 comments1,293 words

Zyphra released ZAYA1-8B, a model that matches DeepSeek-R1 on math benchmarks while using less than 1 billion active parameters. The 8.4B parameter mixture of experts model activates only 760M parameters at inference and employs Markovian RSA to scale performance with compute budget. It requires a specific vLLM fork for local deployment and is available under an Apache 2.0 license.written, reviewed, cited

The model was trained entirely on a 1,024 node AMD cluster built with IBM using AMD Pensando Pollara interconnect.
Zyphra trained ZAYA1-8B end to end on AMD Instinct MI300X GPUs for pretraining, midtraining, and supervised fine-tuning.
The model requires Zyphra's own fork of vLLM to run properly because the standard vLLM install won't work.

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL

arxiv.org2025-01-25authorityHN front pageabout the DeepSeek R1 familyHN 1,351 pts · 1,056 comments371 words

Promising results from DeepSeek R1 for code

simonwillison.net2025-01-28authorityHN front pageabout the DeepSeek R1 familyHN 979 pts · 746 comments345 words

A PR for llama.cpp delivers x2 speed for WASM by optimizing SIMD instructions for qX_K_q8_K and qX_0_q8_0 dot product functions. Surprisingly, 99% of the code in this PR is written by DeekSeek-R1. The model spent 3-5 minutes thinking about each prompt to generate the optimization.written, reviewed, cited

DeepSeek-R1

github.com2025-01-20authorityHN front pageabout the DeepSeek R1 familyHN 1,843 pts · 663 comments2,107 words

Run DeepSeek R1 Dynamic 1.58-bit

unsloth.ai2025-01-28authorityHN front pageabout the DeepSeek R1 familyHN 767 pts · 332 comments

Open-R1: an open reproduction of DeepSeek-R1

huggingface.co2025-01-28authorityHN front pageabout the DeepSeek R1 familyHN 394 pts · 234 comments890 words

Deepseek R1 Distill 8B Q40 on 4 x Raspberry Pi 5

github.com2025-02-15authorityHN front pageabout the DeepSeek R1 familyHN 306 pts · 156 comments766 words

The Illustrated DeepSeek-R1

newsletter.languagemodels.co2025-01-27HN front pageabout the DeepSeek R1 familyHN 578 pts · 118 comments1,715 words

DeepSeek R1 Is Now Available on Azure AI Foundry and GitHub

azure.microsoft.com2025-01-29authorityHN front pageabout the DeepSeek R1 familyHN 109 pts · 49 comments

Community1

Complete hardware and software setup for running Deepseek-R1 locally

twitter.com2025-01-29HN front pageabout the DeepSeek R1 familyHN 250 pts · 192 comments

All coverage tracked for this model (34) — append-only, nothing is ever removed

Title	Source	Published	First seen	Signals
DeepSeek R1 0528 Qwen3 8B - Intelligence, Performance ...	artificialanalysis.ai	—	2026-10-07	exa
DeepSeek R1 0528 — Architecture, Evals & Inference Performance \| InferenceX	inferencex.semianalysis.com	—	2026-10-07	exa
The 'Minor Upgrade' That’s Anything But: DeepSeek R1 0528 Deep Dive	runpod.io	—	2026-10-07	exa
DeepSeek-R1-0528-Qwen3-8B: Think Like a 235B Model	blog.cordatus.ai	—	2026-10-07	exa
deepseek-r1-0528-qwen3-8b: benchmarks, pricing, speed and rank (2026) \| BenchLeader	benchleader.com	—	2026-10-07	exa
DeepSeek: DeepSeek R1 0528 Qwen3 8B - Model Performance \| Evalry	evalry.com	—	2026-10-07	exa
ZAYA1-8B matches DeepSeek-R1 on math with less than 1B active parameters	firethering.com	2026-05-07	2026-10-07	hn
A new, faster DeepSeek R1-0528 variant appears from German lab	venturebeat.com	2025-07-05	2026-10-07	hn
DeepSeek-R1-0528-Qwen3-8B: specs & benchmarks \| AI/TLDR	ai-tldr.dev	2025-05-29	2026-10-07	exa
Implementing DeepSeek R1's GRPO algorithm from scratch	github.com	2025-04-13	2026-10-07	hn
DeepSeek-R1-671B-Q4_K_M with 1 or 2 Arc A770 on Xeon	github.com	2025-03-06	2026-10-07	hn
Deepseek R1 Distill 8B Q40 on 4 x Raspberry Pi 5	github.com	2025-02-15	2026-10-07	hn
Experience the DeepSeek R1 Distilled 'Reasoning' Models on Ryzen AI and Radeon	community.amd.com	2025-02-04	2026-10-07	hn
How to Run DeepSeek R1 Distilled Reasoning Models on RyzenAI and Radeon GPUs	guru3d.com	2025-02-02	2026-10-07	hn
How to Run DeepSeek R1 671B Locally on a $2000 EPYC Server	digitalspaceport.com	2025-02-01	2026-10-07	hn
Running DeepSeek R1 Models Locally on NPU	blogs.windows.com	2025-02-01	2026-10-07	hn
How to run 1.58bit DeepSeek R1 with Open WebUI	docs.openwebui.com	2025-01-31	2026-10-07	hn
Mini-R1: Reproduce DeepSeek R1 "Aha Moment"	philschmid.de	2025-01-31	2026-10-07	hn
DeepSeek R1 is far better than OpenAI o1 at finding bugs in pull requests	greptile.com	2025-01-30	2026-10-07	hn
DeepSeek R1 Is Now Available on Azure AI Foundry and GitHub	azure.microsoft.com	2025-01-29	2026-10-07	hn
How to run DeepSeek R1 locally	workos.com	2025-01-29	2026-10-07	hn
Complete hardware and software setup for running Deepseek-R1 locally	twitter.com	2025-01-29	2026-10-07	hn
DeepSeek R1 671B running on 2 M2 Ultras faster than reading speed	twitter.com	2025-01-29	2026-10-07	hn
Berkeley Researchers Replicate DeepSeek R1's Core Tech for Just $30: A Small Mod	xyzlabs.substack.com	2025-01-28	2026-10-07	hn
Promising results from DeepSeek R1 for code	simonwillison.net	2025-01-28	2026-10-07	hn
Run DeepSeek R1 Dynamic 1.58-bit	unsloth.ai	2025-01-28	2026-10-07	hn
Open-R1: an open reproduction of DeepSeek-R1	huggingface.co	2025-01-28	2026-10-07	hn
The Illustrated DeepSeek-R1	newsletter.languagemodels.co	2025-01-27	2026-10-07	hn
Open Reproduction of DeepSeek-R1	github.com	2025-01-27	2026-10-07	hn
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL	arxiv.org	2025-01-25	2026-10-07	hn
TinyZero: Reproduction of DeepSeek R1 Zero in countdown and multiplication tasks	github.com	2025-01-25	2026-10-07	hn
Official DeepSeek R1 Now on Ollama	ollama.com	2025-01-20	2026-10-07	hn
DeepSeek-R1	github.com	2025-01-20	2026-10-07	hn
DeepSeek: DeepSeek R1 0528 Qwen3 8B by DeepSeek - AI Model Details \| LLMIndex \| LLMIndex	llmindex.net	2024-12-27	2026-10-07	exa

Papers

1 paper

Papers 1

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning this model peer-reviewed · reported

DeepSeek-AI, Daya Guo, Dejian Yang +197 · 2025-01-22 · Nature volume 645, pages 633-638 (2025) · PDF · HF paper page (462 upvotes) · evidence

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Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:34 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:01 UTC · Last verified 2026-10-25

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