Models › DeepSeek-R1 family

DeepSeek-R1-Distill-Llama-8B

deepseek-ai MIT out 21 months ago

8.03B parameters, text in, text out, 128K tokens of context. 2 providers serve it from $0.050 per million input tokens.

Verified 2026-10-25 Rank #112 in LLMs · score 97.9 method v1 Sources 3 Downloads 30d 112.2k · #308 of 619 tracked

Changed this week: 2 new quantized builds on the Hub (206 in all).2026-10-24 · 1 new quantized build on the Hub (205 in all).2026-10-24 · 1 new provider: Nscale.2026-10-23

Can I run it?4.8GB at INT4Estimatefits a 16 GB cardmethod
What does it cost?$0.050/1M incheapest of 1Nscale2026-10-25
Can I use it?MITPermissivelicence file2026-10-24
Do people use it?112.2kdownloads, 30 days#308 of 619 we track · top 50%+5 likes, downloads −18% this week913 likesHugging Face2026-10-24

Worth reading

Picked by rule from 35 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Most discussed · 1,843 HN pts
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 35 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.

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

Where to run it

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

#Cheapest 2In /1MOut /1MContextQuantSeen
1 Nscale $0.050 $0.050 128K — Oct 25
2 Featherless — — — — Oct 25

All 2 providers →

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 2 API providers; heavily run locally (206 quantized builds); a big base for builders (465 fine-tunes, adapters and merges).

  • As a service2Featherless, Nscale
  • On own hardware206quantized builds
  • Built on465173 fine-tunes · 240 adapters · 52 merges
  • In apps100+Hugging Face Spaces

Top Spaces running it: pliny-the-prompter/obliteratus ♥ 621 · KBaba7/Quant ♥ 51 · ruslanmv/DeepSeek-R1-Chatbot ♥ 36 · chheplo/DeepSeek-R1-Distill-Llama-8B ♥ 24

Will it fit?

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

Fits a 16 GB card at INT4

About 4.8 GB at INT4, 9.6 GB at FP8, 19 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 4.8 GB of weights (estimate; KV cache and activations extra)INT44.8 GBFP8: about 9.6 GB of weights (estimate; KV cache and activations extra)FP89.6 GBBF16: about 19 GB of weights (estimate; KV cache and activations extra)BF1619 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 4.8 GB of weights (estimate; KV cache and activations extra)INT44.8 GBFP8: about 9.6 GB of weights (estimate; KV cache and activations extra)FP89.6 GBBF16: about 19 GB of weights (estimate; KV cache and activations extra)BF1619 GB

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 (2025-01-20), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.

What people built on it

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

671 derivatives on the Hub, led by 240 adapters

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

206 quantized (Hugging Face model tree)173 fine-tunes (Hugging Face model tree)52 merges (Hugging Face model tree)240 adapters (Hugging Face model tree)206 quantized173 fine-tunes52 merges240 adapters
206 quantized (Hugging Face model tree)173 fine-tunes (Hugging Face model tree)52 merges (Hugging Face model tree)240 adapters (Hugging Face model tree)206 quantized173 fine-tunes52 merges240 adapters

All variants →

Reference

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

Benchmarks

6 rows

Benchmarks 6 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (6)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.
BenchmarkValueSetting / notesReported byDate
author-reported AIME 2024 · Reason through hard problems50.4 pass@1DeepSeek-R1-Distill-Llama-8Bmodel author2026-10-07
author-reported AIME 2024 · Reason through hard problems80 otherDeepSeek-R1-Distill-Llama-8Bmodel author2026-10-07
author-reported Codeforces · Write code with agents1205 ratingDeepSeek-R1-Distill-Llama-8Bmodel author2026-10-07
author-reported GPQA Diamond · Reason through hard problems49 pass@1DeepSeek-R1-Distill-Llama-8Bmodel author2026-10-07
author-reported LiveCodeBench · Write code with agents39.6 pass@1DeepSeek-R1-Distill-Llama-8Bmodel author2026-10-07
author-reported MATH-500 · Reason through hard problems89.1 pass@1DeepSeek-R1-Distill-Llama-8Bmodel author2026-10-07

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.

Facts

20 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesLlamaForCausalLM
Model typellama
Dtypebfloat16
Params by dtypeBF16: 8,030,261,248
Size bandM
MoEno
Context length131,072 (config.json max_position_embeddings)
PapersarXiv:2501.12948
LicenseMIT (mit)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · LlamaForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · LlamaForCausalLM · 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-Distill-Llama-8B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)19 GB · Single GPU (<24 GB)
FP8 (1 byte/param)9.6 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)4.8 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 671 derivatives on the Hub

quantized: 206finetune: 173merge: 52adapter: 240

Top variants (40 shown, ranked by downloads)

Relation
Quant
Size
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF quantized GGUF — — llama3.1 unsloth 313 1.5M
unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit quantized -bnb 8.24B M llama3.1 unsloth 37 1.3M
lmstudio-community/DeepSeek-R1-Distill-Llama-8B-GGUF quantized GGUF — — — lmstudio-community 48 1M
bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF quantized GGUF — — — bartowski 53 450k
RedHatAI/DeepSeek-R1-Distill-Llama-8B-quantized.w8a8 quantized -quant 8.03B M mit RedHatAI 2 264.8k
unsloth/DeepSeek-R1-Distill-Llama-8B finetune — 8.03B M llama3.1 unsloth 109 230.5k
mlx-community/DeepSeek-R1-Distill-Llama-8B-4bit quantized -4bit 8.03B M — mlx-community 10 210.8k
unsloth/DeepSeek-R1-Distill-Llama-8B-bnb-4bit quantized -bnb 8.25B M llama3.1 unsloth 3 80.1k
UnfilteredAI/DAN-L3-R1-8B quantized GGUF 8.03B M apache-2.0 UnfilteredAI 87 70.2k
mlx-community/DeepSeek-R1-Distill-Llama-8B-8bit quantized -8bit 8.03B M — mlx-community 5 48.1k
mlc-ai/DeepSeek-R1-Distill-Llama-8B-q4f16_1-MLC quantized — — — — mlc-ai 0 48k
DavidAU/DeepSeek-R1-Distill-Llama-3.1-16.5B-Brainstorm-gguf quantized gguf — — apache-2.0 DavidAU 25 37.9k
mradermacher/DeepSeek-R1-Distill-Llama-8B-GGUF quantized GGUF — — mit mradermacher 1 27.2k
voidful/Llama-3.1-TAIDE-R1-8B-Chat merge GGUF 8.52B M — voidful 23 24.7k
PKU-Alignment/Align-DS-V finetune — — — mit PKU-Alignment 72 20k
RedHatAI/DeepSeek-R1-Distill-Llama-8B-quantized.w4a16 quantized -quant 8.03B M mit RedHatAI 0 23.4k
huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated finetune — 8.03B M — huihui-ai 80 19.4k
UNIVA-Bllossom/DeepSeek-llama3.1-Bllossom-8B finetune — 8.03B M mit UNIVA-Bllossom 48 20.1k
jakiAJK/DeepSeek-R1-Distill-Llama-8B_GPTQ-int4 quantized GPTQ 8.03B M — jakiAJK 0 22.1k
DevQuasar-3/deepseek-ai.DeepSeek-R1-Distill-Llama-8B-GGUF quantized GGUF — — — DevQuasar-3 3 21.8k
eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF quantized GGUF — — mit eaddario 1 19.3k
second-state/DeepSeek-R1-Distill-Llama-8B-GGUF quantized GGUF — — — second-state 3 16.9k
mlx-community/DeepSeek-R1-Distill-Llama-8B-3bit quantized — 8.03B M — mlx-community 0 16.6k
osllmai-community/DeepSeek-R1-Distill-Llama-8B-GGUF quantized GGUF — — — osllmai-community 0 16.5k
NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant quantized GGUF — — llama3.1 NexaAI 89 11.3k
jakiAJK/DeepSeek-R1-Distill-Llama-8B_AWQ quantized AWQ 8.03B M — jakiAJK 0 15.5k
GPT4All-Community/DeepSeek-R1-Distill-Llama-8B-GGUF quantized GGUF — — llama3.1 GPT4All-Community 6 14.9k
RedHatAI/DeepSeek-R1-Distill-Llama-8B-FP8-dynamic quantized -FP8 8.03B M mit RedHatAI 5 14.7k
matrixportalx/DeepSeek-R1-Distill-Llama-8B-GGUF quantized GGUF — — mit matrixportalx 1 13k
mlx-community/DeepSeek-R1-Distill-Llama-8B-bf16 finetune -bf16 8.03B M — mlx-community 3 12.9k
mradermacher/DeepSeek-R1-Distill-Llama-8B-i1-GGUF quantized GGUF — — mit mradermacher 2 11.5k
saidutta69/DeepSeek-R1-Distill-Llama-8B-heretic quantized GGUF 8.03B M other saidutta69 1 11.1k
backyardai/DeepSeek-R1-Distill-Llama-8B-GGUF quantized GGUF — — mit backyardai 2 9.5k
mmnga/DeepSeek-R1-Distill-Llama-8B-gguf quantized gguf — — mit mmnga 1 9.4k
mlx-community/DeepSeek-R1-Distill-Llama-8B-4bit-mlx quantized -4bit 8.03B M — mlx-community 1 8.2k
stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated finetune — 8.03B M — stepenZEN 10 7.4k
mlc-ai/DeepSeek-R1-Distill-Llama-8B-q4f32_1-MLC quantized — — — — mlc-ai 0 7.9k
PrunaAI/deepseek-ai-DeepSeek-R1-Distill-Llama-8B-GGUF-smashed quantized GGUF — — — PrunaAI 0 7.6k
z-lab/DeepSeek-R1-Distill-Llama-8B-PARO quantized — 1.05B S mit z-lab 4 7k
prithivMLmods/Llama-8B-Distill-CoT finetune — 8.03B M llama3.1 prithivMLmods 5 6.5k

Repository changelog

12 commits
changed in the last 7 daysNew providers: 2026-10-23Other: 2026-10-24, 2026-10-24all changes

Repository changelog 12 commits

DateCommitSHA
2025-02-24 Update bib info 6a6f4aa
2025-02-09 Update tokenizer_config.json 74fbf13
2025-02-01 Update README.md ebf7e8d
2025-01-26 Update README.md 24ae87a
2025-01-23 Update README.md 81cee02
2025-01-22 Update tokenizer_config.json cdfd9e2
2025-01-22 Update tokenizer_config.json 595a1b2
2025-01-21 Add generation_config.json 30e697b
2025-01-21 add library tag for better code snippets and tags (#1) 7120ce2
2025-01-20 Release DeepSeek-R1 2f96d31
2025-01-20 Add files using upload-large-folder tool 3c896db
2025-01-20 initial commit 6d1b4fd

All providers

2 providers · 2 endpoints

Where to run 2 providers · 2 endpoints

Hosted endpoints observed for DeepSeek-R1-Distill-Llama-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. Cheapest observed input price: $0.05/M.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
Nscale
hf
deepseek-ai/DeepSeek-R1-Distill-Llama-8B 128K — $0.05 $0.05 137 311 ms no live 2026-10-25
Featherless
hf
deepseek-ai/DeepSeek-R1-Distill-Llama-8B — — — — — — — live 2026-10-25

Articles and coverage

35 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

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.
arxiv.org2025-01-25authorityHN front pageabout the DeepSeek R1 familyHN 1,351 pts · 1,056 comments371 words
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
github.com2025-01-20authorityHN front pageabout the DeepSeek R1 familyHN 1,843 pts · 663 comments2,107 words
unsloth.ai2025-01-28authorityHN front pageabout the DeepSeek R1 familyHN 767 pts · 332 comments
huggingface.co2025-01-28authorityHN front pageabout the DeepSeek R1 familyHN 394 pts · 234 comments890 words
github.com2025-02-15authorityHN front pageabout the DeepSeek R1 familyHN 306 pts · 156 comments766 words
newsletter.languagemodels.co2025-01-27HN front pageabout the DeepSeek R1 familyHN 578 pts · 118 comments1,715 words
azure.microsoft.com2025-01-29authorityHN front pageabout the DeepSeek R1 familyHN 109 pts · 49 comments

Community1

twitter.com2025-01-29HN front pageabout the DeepSeek R1 familyHN 250 pts · 192 comments
All coverage tracked for this model (35) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
DeepSeek R1 (Jan '25) vs DeepSeek R1 Distill Llama 8B: Model Comparison | Artificial Analysisartificialanalysis.ai—2026-10-07exa
DeepSeek: R1 Distill Llama 8B - AI Model Details & Benchm...benchable.ai—2026-10-07exa
DeepSeek R1 Distill 8B — Specs, Pricing & GPU Requirements | InferenceBench | InferenceBenchinferencebench.io—2026-10-07exa
DeepSeek R1 Distill Llama 8B — local inference guide | RunLocalAIrunlocalai.co—2026-10-07exa
DeepSeek-R1-Distill-Llama-8B: Open-Source Reasoning LLMdev.co—2026-10-07exa
Unveiling DeepSeek-R1: An Open-Source Approach to Next-Generation Language | Proceedings of the 7th International Conference on Information Management & Machine Intelligencedlnext.acm.org2026-06-042026-10-07exa
ZAYA1-8B matches DeepSeek-R1 on math with less than 1B active parametersfirethering.com2026-05-072026-10-07hn
DeepSeek-R1 Distilled Models: A Technical Guide to 671B MoE vs. Llama and Qwen Variants - XsOne Consultantsxsoneconsultants.com2026-01-052026-10-07exa
A new, faster DeepSeek R1-0528 variant appears from German labventurebeat.com2025-07-052026-10-07hn
Implementing DeepSeek R1's GRPO algorithm from scratchgithub.com2025-04-132026-10-07hn
DeepSeek-R1-671B-Q4_K_M with 1 or 2 Arc A770 on Xeongithub.com2025-03-062026-10-07hn
Deepseek R1 Distill 8B Q40 on 4 x Raspberry Pi 5github.com2025-02-152026-10-07hn
Show HN: Distill your own model from DeepSeek R1 in 30 mins (open+GUI)news.ycombinator.com2025-02-062026-10-07hn
Experience the DeepSeek R1 Distilled 'Reasoning' Models on Ryzen AI and Radeoncommunity.amd.com2025-02-042026-10-07hn
How to Run DeepSeek R1 Distilled Reasoning Models on RyzenAI and Radeon GPUsguru3d.com2025-02-022026-10-07hn
How to Run DeepSeek R1 671B Locally on a $2000 EPYC Serverdigitalspaceport.com2025-02-012026-10-07hn
Running DeepSeek R1 Models Locally on NPUblogs.windows.com2025-02-012026-10-07hn
How to run 1.58bit DeepSeek R1 with Open WebUIdocs.openwebui.com2025-01-312026-10-07hn
Mini-R1: Reproduce DeepSeek R1 "Aha Moment"philschmid.de2025-01-312026-10-07hn
DeepSeek R1 is far better than OpenAI o1 at finding bugs in pull requestsgreptile.com2025-01-302026-10-07hn
DeepSeek R1 Is Now Available on Azure AI Foundry and GitHubazure.microsoft.com2025-01-292026-10-07hn
How to run DeepSeek R1 locallyworkos.com2025-01-292026-10-07hn
Complete hardware and software setup for running Deepseek-R1 locallytwitter.com2025-01-292026-10-07hn
DeepSeek R1 671B running on 2 M2 Ultras faster than reading speedtwitter.com2025-01-292026-10-07hn
Berkeley Researchers Replicate DeepSeek R1's Core Tech for Just $30: A Small Modxyzlabs.substack.com2025-01-282026-10-07hn
Promising results from DeepSeek R1 for codesimonwillison.net2025-01-282026-10-07hn
Run DeepSeek R1 Dynamic 1.58-bitunsloth.ai2025-01-282026-10-07hn
Open-R1: an open reproduction of DeepSeek-R1huggingface.co2025-01-282026-10-07hn
The Illustrated DeepSeek-R1newsletter.languagemodels.co2025-01-272026-10-07hn
Open Reproduction of DeepSeek-R1github.com2025-01-272026-10-07hn
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RLarxiv.org2025-01-252026-10-07hn
TinyZero: Reproduction of DeepSeek R1 Zero in countdown and multiplication tasksgithub.com2025-01-252026-10-07hn
DeepSeek-R1 and Exploring DeepSeek-R1-Distill-Llama-8Bsimonwillison.net2025-01-202026-10-07hn
Official DeepSeek R1 Now on Ollamaollama.com2025-01-202026-10-07hn
DeepSeek-R1github.com2025-01-202026-10-07hn

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).

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Sources

3 sources

Sources

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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