Models › DeepSeek-R1 family

DeepSeek-R1-Distill-Qwen-14B

deepseek-ai MIT out 21 months ago

14.8B parameters, text in, text out, 128K tokens of context. 2 providers serve it from $0.20 per million input tokens.

Verified 2026-10-26 07:27 UTC Rank #108 in LLMs · score 98.6 method v1 Sources 3 Downloads 30d 292.4k · #220 of 619 tracked

Changed this week: 1 new provider: Nscale.2026-10-23

Can I run it?8.9GB at INT4Estimatefits a 16 GB cardmethod
What does it cost?$0.20/1M incheapest of 1Nscale2026-10-26
Can I use it?MITPermissivelicence file2026-10-26
Do people use it?292.4kdownloads, 30 days#220 of 619 we track · top 36%+7 likes, downloads −11% this week726 likesHugging Face2026-10-26

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
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.

  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. ArticleR1 Distill Qwen 14B - API Pricing & Benchmarksopenrouter.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 $0.20 $0.20 128K — Oct 26
2 Featherless — — — — Oct 26

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 (145 quantized builds); a big base for builders (270 fine-tunes, adapters and merges).

  • As a service2Featherless, Nscale
  • On own hardware145quantized builds
  • Built on27097 fine-tunes · 117 adapters · 56 merges
  • In apps100+Hugging Face Spaces

Top Spaces running it: pliny-the-prompter/obliteratus ♥ 621 · ginigen-ai/smol-worldcup ♥ 59 · KBaba7/Quant ♥ 51 · ruslanmv/DeepSeek-R1-Chatbot ♥ 36

Will it fit?

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

Fits a 16 GB card at INT4

About 8.9 GB at INT4, 18 GB at FP8, 35 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 8.9 GB of weights (estimate; KV cache and activations extra)INT48.9 GBFP8: about 18 GB of weights (estimate; KV cache and activations extra)FP818 GBBF16: about 35 GB of weights (estimate; KV cache and activations extra)BF1635 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 8.9 GB of weights (estimate; KV cache and activations extra)INT48.9 GBFP8: about 18 GB of weights (estimate; KV cache and activations extra)FP818 GBBF16: about 35 GB of weights (estimate; KV cache and activations extra)BF1635 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

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

415 derivatives on the Hub, led by 145 quantized

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

145 quantized (Hugging Face model tree)97 fine-tunes (Hugging Face model tree)56 merges (Hugging Face model tree)117 adapters (Hugging Face model tree)145 quantized97 fine-tunes56 merges117 adapters
145 quantized (Hugging Face model tree)97 fine-tunes (Hugging Face model tree)56 merges (Hugging Face model tree)117 adapters (Hugging Face model tree)145 quantized97 fine-tunes56 merges117 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 problems69.7 pass@1DeepSeek-R1-Distill-Qwen-14Bmodel author2026-10-07
author-reported AIME 2024 · Reason through hard problems80DeepSeek-R1-Distill-Qwen-14Bmodel author2026-10-07
author-reported Codeforces · Write code with agents1481 ratingDeepSeek-R1-Distill-Qwen-14Bmodel author2026-10-07
author-reported GPQA Diamond · Reason through hard problems59.1 pass@1DeepSeek-R1-Distill-Qwen-14Bmodel author2026-10-07
author-reported LiveCodeBench · Write code with agents53.1 pass@1DeepSeek-R1-Distill-Qwen-14Bmodel author2026-10-07
author-reported MATH-500 · Reason through hard problems93.9 pass@1DeepSeek-R1-Distill-Qwen-14Bmodel author2026-10-07

What the card says

1 cited sentence

Summary generated, cited

It is part of a series of dense models distilled from DeepSeek-R1 to improve reasoning performance.[1]

  1. “distilled from DeepSeek-R1 based on Llama and Qwen”

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

5 use cases

What it is good at 5 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
ArchitecturesQwen2ForCausalLM
Model typeqwen2
Dtypebfloat16
Params by dtypeBF16: 14,770,033,664
Size bandL
MoEno
Context length131,072 (config.json max_position_embeddings)
PapersarXiv:2501.12948
LicenseMIT (mit)
Hub snapshot2026-10-26

Servability

vLLM · SGLang

Servability

vLLM: supported · Qwen2ForCausalLM · 4b1c04e76fe9ac3ca8b7e541dd423e7d5f38dc60SGLang: supported · Qwen2ForCausalLM · 60d941293e3af27a12c6eb64e2c3e2e1a17f100f

vLLM registry (4b1c04e76fe9ac3ca8b7e541dd423e7d5f38dc60) · SGLang registry (60d941293e3af27a12c6eb64e2c3e2e1a17f100f) · 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-Qwen-14B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)35 GB · Single high-end GPU (<80 GB)
FP8 (1 byte/param)18 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)8.9 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 415 derivatives on the Hub

quantized: 145finetune: 97merge: 56adapter: 117

Top variants (40 shown, ranked by downloads)

Relation
Quant
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF quantized GGUF — — — bartowski 259 8.5M
unsloth/DeepSeek-R1-Distill-Qwen-14B-GGUF quantized GGUF — — apache-2.0 unsloth 144 1.4M
lmstudio-community/DeepSeek-R1-Distill-Qwen-14B-GGUF quantized GGUF — — — lmstudio-community 50 647.2k
mlx-community/DeepSeek-R1-Distill-Qwen-14B-4bit quantized -4bit 14.8B L — mlx-community 14 237.3k
osllmai-community/DeepSeek-R1-Distill-Qwen-14B-GGUF quantized GGUF — — apache-2.0 osllmai-community 1 224.9k
unsloth/DeepSeek-R1-Distill-Qwen-14B-unsloth-bnb-4bit quantized -bnb 15.1B L apache-2.0 unsloth 31 197.5k
agentica-org/DeepCoder-14B-Preview finetune — 14.8B L mit agentica-org 684 152.9k
FractalAIResearch/Fathom-R1-14B finetune — 14.8B L mit FractalAIResearch 290 90.3k
QuantFactory/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-GGUF quantized GGUF — — — QuantFactory 37 100.7k
stelterlab/DeepSeek-R1-Distill-Qwen-14B-AWQ quantized AWQ 14.8B L mit stelterlab 3 81.2k
unsloth/DeepSeek-R1-Distill-Qwen-14B-bnb-4bit quantized -bnb 15.2B L apache-2.0 unsloth 6 81k
jamescallander/DeepSeek-R1-Distill-Qwen-14B_w8a8_g128_rk3588.rkllm finetune — — — mit jamescallander 1 68.5k
cyberagent/DeepSeek-R1-Distill-Qwen-14B-Japanese finetune — 14.8B L mit cyberagent 94 63.5k
pbatra/DeepSeek-R1-Distill-Qwen-14B-GGUF quantized GGUF — — unknown pbatra 0 67.1k
mlx-community/DeepSeek-R1-Distill-Qwen-14B-3bit quantized — 14.8B L — mlx-community 7 51.5k
sometimesanotion/Lamarck-14B-v0.7 merge — 14.8B L apache-2.0 sometimesanotion 46 46.2k
unsloth/DeepSeek-R1-Distill-Qwen-14B finetune — 14.8B L apache-2.0 unsloth 24 39.5k
RedHatAI/DeepSeek-R1-Distill-Qwen-14B-FP8-dynamic quantized -FP8 14.8B L mit RedHatAI 3 39.1k
RedHatAI/DeepSeek-R1-Distill-Qwen-14B-quantized.w8a8 quantized -quant 14.8B L mit RedHatAI 2 34k
huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 finetune — 14.8B L — huihui-ai 167 25k
second-state/DeepSeek-R1-Distill-Qwen-14B-GGUF quantized GGUF — — — second-state 2 32.9k
mradermacher/DeepSeek-R1-Distill-Qwen-14B-GGUF quantized GGUF — — mit mradermacher 2 30.3k
mlx-community/DeepSeek-R1-Distill-Qwen-14B-8bit quantized -8bit 14.8B L — mlx-community 5 23.1k
avoroshilov/DeepSeek-R1-Distill-Qwen-14B-GPTQ_4bit-128g quantized GPTQ 14.8B L mit avoroshilov 1 23.1k
Mungert/DeepCoder-14B-Preview-GGUF quantized GGUF — — mit Mungert 10 22.5k
DevQuasar-7/deepseek-ai.DeepSeek-R1-Distill-Qwen-14B-GGUF quantized GGUF — — — DevQuasar-7 0 18.6k
mradermacher/DeepSeek-R1-Distill-Qwen-14B-i1-GGUF quantized GGUF — — mit mradermacher 3 18.2k
RedHatAI/DeepSeek-R1-Distill-Qwen-14B-quantized.w4a16 quantized -quant 14.8B L mit RedHatAI 1 17.7k
mlx-community/DeepSeek-R1-Distill-Qwen-14B-6bit quantized — 14.8B L — mlx-community 7 17.1k
saidutta69/DeepSeek-R1-Distill-Qwen-14B-heretic quantized GGUF 14.8B L other saidutta69 3 15.8k
Mungert/Fathom-R1-14B-GGUF quantized GGUF — — mit Mungert 5 15.1k
roleplaiapp/DeepSeek-R1-Distill-Qwen-14B-Q8_0-GGUF quantized Q8_0 — — — roleplaiapp 1 13.2k
mmnga/DeepSeek-R1-Distill-Qwen-14B-gguf quantized gguf — — mit mmnga 5 12.8k
mlx-community/DeepSeek-R1-Distill-Qwen-14B finetune — 14.8B L — mlx-community 4 12.5k
TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau finetune — 14.8B L mit TorpedoSoftware 1 11.9k
roleplaiapp/DeepSeek-R1-Distill-Qwen-14B-Q4_K_M-GGUF quantized GGUF — — — roleplaiapp 2 11.7k
qihoo360/Light-R1-14B-DS finetune — 14.8B L apache-2.0 qihoo360 37 9.8k
mlx-community/DeepSeek-R1-Distill-Qwen-14B-bf16 finetune -bf16 14.8B L — mlx-community 0 9.2k
Bojun-Feng/DeepSeek-R1-Distill-Qwen-14B-GGUF-llamafile finetune GGUF — — apache-2.0 Bojun-Feng 4 5.8k
NikolayKozloff/DeepSeek-R1-Distill-Qwen-14B-Q4_K_M-GGUF quantized GGUF — — — NikolayKozloff 1 5.8k

Repository changelog

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

Repository changelog 12 commits

DateCommitSHA
2025-02-24 Update bib info 1df8507
2025-02-09 Update tokenizer_config.json 5ee96d8
2025-02-01 Update README.md 6453600
2025-01-26 Update README.md 4338860
2025-01-23 Update README.md 1232652
2025-01-22 Update tokenizer_config.json f37b6a6
2025-01-22 Update tokenizer_config.json be829b6
2025-01-21 Add generation_config.json 5bbe9fe
2025-01-21 add library tag for better code snippets and tags (#1) d90d01c
2025-01-20 Release DeepSeek-R1 c79f47a
2025-01-20 Add files using upload-large-folder tool c8ba54e
2025-01-20 initial commit adbf54c

All providers

2 providers · 2 endpoints

Where to run 2 providers · 2 endpoints

Hosted endpoints observed for DeepSeek-R1-Distill-Qwen-14B, 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: $0.20/M.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
Nscale
hf
deepseek-ai/DeepSeek-R1-Distill-Qwen-14B 128K — $0.20 $0.20 89.8 1917 ms no live 2026-10-26
Featherless
hf
deepseek-ai/DeepSeek-R1-Distill-Qwen-14B — — — — — — — live 2026-10-26

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

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 (34) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
R1 Distill Qwen 14B - API Pricing & Benchmarksopenrouter.ai—2026-10-07exa
DeepSeek R1 Distill Qwen 14B — 14B model specs & benchmarks | BestLLMforbestllmfor.com—2026-10-07exa
DeepSeek R1 Distill Qwen 14B Benchmarks, Pricing & Context Windowllm-stats.com—2026-10-07exa
DeepSeek R1 Distill Qwen 14B — Hardware Requirements & Compatibility | llmrunllmrun.dev—2026-10-07exa
DeepSeek R1 Distilled Models for Local AI: Which Version Fits Your GPU (2026)runaihome.com2026-05-262026-10-07exa
ZAYA1-8B matches DeepSeek-R1 on math with less than 1B active parametersfirethering.com2026-05-072026-10-07hn
DeepSeek R1 Distill: Six Open Reasoning Models Compareddeepseekai.guide2026-04-252026-10-07exa
DeepSeek R1 Distill Qwen 14B Review | Pricing, Benchmarks & Capabilities (2026) | Design for Onlinedesignforonline.com2026-04-242026-10-07exa
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
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
Official DeepSeek R1 Now on Ollamaollama.com2025-01-202026-10-07hn
DeepSeek-R1github.com2025-01-202026-10-07hn
DeepSeek-R1-Distill-Qwen-14B: Specs & Benchmarks | AI/TLDRai-tldr.dev2025-01-202026-10-07exa

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).

Similar models

3 models

Similar models

  • Qwen3-14B · 14.8B
    same size band (L), same task (text-generation), more providers, permissive license
  • phi-4 · 14.7B
    same size band (L), same task (text-generation), more providers, permissive license
  • Qwen2.5-14B-Instruct · 14.8B
    same size band (L), same task (text-generation), fewer providers, permissive license

Sources

3 sources

Sources

Hub snapshot: 2026-10-26 · HF API: 2026-10-26 07:15 UTC · Providers: 2026-10-26 07:26 UTC · Articles: 2026-10-26 07:27 UTC · Summary: 2026-10-07 15:01 UTC · Last verified 2026-10-26 07:27 UTC

Follow DeepSeek-R1-Distill-Qwen-14B

Watch this model

Email alerts are not open yet; the feeds above are the same data. See feeds for the item schema.