Qwen2.5-Coder-14B-Instruct

14.8B parameters, text in, text out, 32K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #140 in LLMs · score 93.7 method v1 Sources 3 Downloads 30d 1.7M · #70 of 619 tracked

Can I run it?8.9GB at INT4Estimatefits a 16 GB cardmethod

Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24

Do people use it?1.7Mdownloads, 30 days#70 of 619 we track · top 11%+5 likes, downloads +1% this week206 likesHugging Face2026-10-24

Worth reading

Picked by rule from 29 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Most discussed · 164 HN pts

Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac

Alibaba released the Qwen2.5-Coder-32B-Instruct model, an Apache 2.0 licensed open-source LLM.

The model requires a workaround for an SSL bug when using the standard library instead of requests or httpx.
Running the Ollama version was too slow because the author did not have the tool compiled to use the Mac's GPU.

simonwillison.net 2024-11-13 164 HN pts · 65 comments 635 words about the Qwen2.5 family family

Latest · 23 months ago

Qwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Coding

qwenlm.github.io 2024-11-11 23 HN pts 1.2k words about the Qwen2.5 family family

25 best of 29 tracked

The 3 picks above, plus these 22. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

Codekev: Jev-like model built on Qwen2.5-0.5Bgithub.com · 2026-09-19
ArticleQwen2.5-VL-32B: Smarter and Lighterqwenlm.github.io · 2025-03-24 · official
ArticleQwen2.5-1M: Deploy your own Qwen with context length up to 1M tokensqwenlm.github.io · 2025-01-26 · official
ArticleQwen2.5: A Party of Foundation Modelsqwenlm.github.io · 2024-09-18 · 168 HN pts · official
ArticleQwen2.5-Max: Exploring the intelligence of large-scale MoE modelqwenlm.github.io · 2025-01-28 · official
ArticleShow HN: Fine-tuned Qwen2.5-7B on 100 films for probabilistic story graphscinegraphs.ai · 2026-02-08
ArticleQwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1Msimonwillison.net · 2025-01-26
PaperQwen2.5-Coder Technical Report - arXivarxiv.org · undated
ArticleCivic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt dataitsmeduncan.com · 2026-04-25
ArticleQwen2.5-VLqwenlm.github.io · 2025-01-27 · official
CodeQwen2.5-Coder-32B with coding abilities matching those of GPT-4ogithub.com · 2024-11-09 · 21 HN pts
ArticleQwen2.5 Omni: See, Hear, Talk, Write, Do It Allqwenlm.github.io · 2025-03-26 · official
ArticleAlibaba Qwen2.5-Omni-7B: Open Source End-to-End Multimodal AI Modelalizila.com · 2025-03-27
ArticleQwen2.5-VL-32B: Smarter and Lightersimonwillison.net · 2025-03-25
ArticleQwen2.5-Max: The Next Leap in AI Innovationmedium.com · 2025-01-29
ArticleQwen2.5-Omni Technical Reporthuggingface.co · 2025-03-30
PaperQwen2.5-Coder Technical Reportarxiv.org · 2024-11-11 · 4 HN pts
DiscussionQwen2.5-coder on the events occurring during the Tiananmen Square protestsnews.ycombinator.com · 2024-11-20 · 7 HN pts
CodeQwen2.5-VL: State-of-the-art multimodal LLMgithub.com · 2025-01-30
DiscussionNew Qwen2.5-Max Outperforms DeepSeek V3 in Benchmarkstwitter.com · 2025-01-28
ArticleQwen 2.5 Coder 32B vs Qwen 2.5 Coder 14B Instruct — head-to-head specs & benchmarks | BestLLMforbestllmfor.com · undated
ArticleQwen2.5-Coder-14B-Instruct by Qwen - Overview, Benchmarks & Hardware | Q4KM.aiq4km.ai · undated

Show all 22

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 (131 quantized builds); a big base for builders (264 fine-tunes, adapters and merges).

As a service1Featherless
On own hardware131quantized builds
Built on264127 fine-tunes · 98 adapters · 39 merges
In apps76Hugging Face Spaces

Top Spaces running it: embedl/hfviewer ♥ 181 · build-small-hackathon/trikona ♥ 3 · Speedofmastery/orynxml-backend ♥ 2 · david-clifford/00_Deploy_Practice_Agent_Basics ♥ 1

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.

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 (2024-11-06), amber triangles are 6 dated articles (each links to it), grey ticks are repo commits.

What people built on it

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

395 derivatives on the Hub, led by 131 quantized

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

GGUF Qwen/Qwen2.5-Coder-14B-Instruct-GGUF for llama.cpp, Ollama, LM Studio 1.2M downloads MLX lmstudio-community/Qwen2.5-Coder-14B-Instruct-MLX-4bit for Apple silicon 1.6M downloads AWQ Qwen/Qwen2.5-Coder-14B-Instruct-AWQ for vLLM, SGLang 8M downloads

All variants →

Reference

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

What the card says

1 cited sentence

Summary generated, cited

The architecture utilizes RoPE, SwiGLU, RMSNorm, and Attention QKV bias.^[1]

“architecture: transformers with RoPE, SwiGLU, RMSNorm, an…”

Generated 2026-10-07 15:03 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

4 use cases

What it is good at 4 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.

Chat and follow instructionsstructuraldecision-model estimate p=0.99 name: Instruct tag: conversational +1 more
Write code with agentsstructuraldecision-model estimate p=0.92 name: Coder tag: code
Call tools and APIsstructuralchat template: <tool_call>
Read long documentsstructuraldecision-model estimate p=0.99

Facts

22 fields

Listed in LLMs

Facts

Qwen2.5-Coder-14B-Instruct has 14.8B parameters. (safetensors metadata, observed 2026-10-24)
Context length is 32,768 tokens (32K). (config.json max_position_embeddings, observed 2026-10-24)
License: Apache 2.0 (friction: none). Permissive; patent grant. (license file, observed 2026-10-24)
Created 2024-11-06, last modified 2025-01-12. (HF API, observed 2026-10-24)

Pipeline tag	text-generation
Library	transformers
Architectures	Qwen2ForCausalLM
Model type	qwen2
Dtype	bfloat16
Params by dtype	BF16: 14,770,033,664
Size band	L
MoE	no
Context length	32,768 (config.json max_position_embeddings)
Languages	en
Papers	arXiv:2409.12186, arXiv:2309.00071, arXiv:2407.10671
License	Apache 2.0 (apache-2.0)
Hub snapshot	2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Qwen2ForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen2ForCausalLM · 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 Qwen2.5-Coder-14B-Instruct: 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

Fine-tuned from Qwen/Qwen2.5-Coder-14B (same organization) Family: Qwen/Qwen2.5 395 derivatives on the Hub

Base model: Qwen/Qwen2.5-Coder-14B

quantized: 131finetune: 127merge: 39adapter: 98

Top variants (40 shown, ranked by downloads)

Variant	Relation	Quant	Params	Band	License	Author	Likes	Downloads
Qwen/Qwen2.5-Coder-14B-Instruct-AWQ	quantized	AWQ	14.8B	L	apache-2.0	Qwen	38	8M
lmstudio-community/Qwen2.5-Coder-14B-Instruct-MLX-4bit	quantized	MLX	14.8B	L	apache-2.0	lmstudio-community	8	1.6M
lmstudio-community/Qwen2.5-Coder-14B-Instruct-MLX-8bit	quantized	MLX	14.8B	L	apache-2.0	lmstudio-community	3	1.3M
Qwen/Qwen2.5-Coder-14B-Instruct-GGUF	quantized	GGUF	—	—	apache-2.0	Qwen	261	1.2M
mlx-community/Qwen2.5-Coder-14B-Instruct-4bit	quantized	-4bit	14.8B	L	apache-2.0	mlx-community	20	910.5k
lmstudio-community/Qwen2.5-Coder-14B-Instruct-GGUF	quantized	GGUF	—	—	apache-2.0	lmstudio-community	12	545.7k
bartowski/Qwen2.5-Coder-14B-Instruct-GGUF	quantized	GGUF	—	—	apache-2.0	bartowski	64	452.4k
Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int4	quantized	GPTQ	14.8B	L	apache-2.0	Qwen	14	413.4k
unsloth/Qwen2.5-Coder-14B-Instruct-bnb-4bit	quantized	-bnb	15.2B	L	apache-2.0	unsloth	5	297.8k
RedHatAI/Qwen2.5-Coder-14B-Instruct-FP8-dynamic	quantized	-FP8	14.8B	L	apache-2.0	RedHatAI	1	180.9k
Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int8	quantized	GPTQ	14.8B	L	apache-2.0	Qwen	13	135.7k
unsloth/Qwen2.5-Coder-14B-Instruct-128K-GGUF	quantized	GGUF	—	—	apache-2.0	unsloth	54	113.2k
unsloth/Qwen2.5-Coder-14B-Instruct-GGUF	quantized	GGUF	—	—	apache-2.0	unsloth	16	72.2k
unsloth/Qwen2.5-Coder-14B-Instruct	finetune	—	14.8B	L	apache-2.0	unsloth	4	35k
BlossomsAI/Qwen2.5-Coder-14B-Instruct-Uncensored-GGUF	quantized	GGUF	—	—	mit	BlossomsAI	12	27.3k
tzervas/qwen2.5-coder-14b-bitnet-1.58b	quantized	GGUF	3.92B	M	apache-2.0	tzervas	6	24.5k
Mungert/Strand-Rust-Coder-14B-v1-GGUF	quantized	GGUF	—	—	apache-2.0	Mungert	0	23.4k
mbakgun/Qwen2.5-Coder-14B-n8n-Workflow-Generator	quantized	GGUF	—	—	apache-2.0	mbakgun	24	21.3k
Fortytwo-Network/Strand-Rust-Coder-14B-v1	finetune	—	14.8B	L	apache-2.0	Fortytwo-Network	211	9.9k
Goekdeniz-Guelmez/Josiefied-Qwen2.5-Coder-14B-Instruct-abliterated-v1	finetune	—	14.8B	L	apache-2.0	Goekdeniz-Guelmez	5	19.1k
zipaltrivedi/dotnet-coder-14b	quantized	GGUF	14.8B	L	apache-2.0	zipaltrivedi	12	14.8k
Mungert/NextCoder-14B-GGUF	quantized	GGUF	—	—	mit	Mungert	2	14.9k
mlx-community/Qwen2.5-Coder-14B-Instruct-8bit	quantized	-8bit	14.8B	L	apache-2.0	mlx-community	2	11.9k
itlwas/Qwen2.5-Coder-14B-Instruct-Q4_K_M-GGUF	quantized	GGUF	—	—	apache-2.0	itlwas	1	9.4k
mradermacher/Qwen2.5-Coder-14B-Instruct-GGUF	quantized	GGUF	—	—	apache-2.0	mradermacher	2	8.7k
ggml-org/Qwen2.5-Coder-14B-Instruct-Q8_0-GGUF	quantized	Q8_0	—	—	apache-2.0	ggml-org	2	8.3k
Qiskit/Qwen2.5-Coder-14B-Qiskit	finetune	—	14.8B	L	apache-2.0	Qiskit	6	7.7k
EasierAI/Qwen-2.5-Coder-14B	quantized	GGUF	—	—	apache-2.0	EasierAI	0	7.5k
second-state/Qwen2.5-Coder-14B-Instruct-GGUF	quantized	GGUF	—	—	apache-2.0	second-state	0	7.5k
gaianet/Qwen2.5-Coder-14B-Instruct-GGUF	quantized	GGUF	—	—	apache-2.0	gaianet	0	6.7k
microsoft/NextCoder-14B	finetune	—	14.8B	L	mit	microsoft	25	5.4k
apto-as/Qwen2.5-Coder-14B-Instruct-Q5_K_M-GGUF	quantized	GGUF	—	—	apache-2.0	apto-as	2	6.2k
ApolloRaines/Qwen2.5-Coder-14B-Instruct-Jbliterated	quantized	GGUF	14.8B	L	apache-2.0	ApolloRaines	0	5.7k
AbteeXAILab/lumynax-coder-qwen25-14b-instruct-gguf	quantized	gguf	—	—	apache-2.0	AbteeXAILab	0	5.6k
pthinc/prettybird_bce_basic_coder_15b	quantized	GGUF	—	—	other	pthinc	1	5.6k
genomalabs/KALYPSO-v1.1L	quantized	GGUF	14.8B	L	apache-2.0	genomalabs	0	5.3k
YOYO-AI/ZYH-LLM-Qwen2.5-14B-V4	merge	—	14.8B	L	apache-2.0	YOYO-AI	8	4.3k
Lautloserspieler/Nova-Qwen2.5-14B-Secure-Coder	quantized	GGUF	14.8B	L	apache-2.0	Lautloserspieler	4	4.5k
Tesslate/UIGEN-T1.1-Qwen-14B	finetune	—	14.8B	L	apache-2.0	Tesslate	42	2k
prithivMLmods/Qwen2.5-Coder-14B-Instruct-F16-GGUF	quantized	GGUF	—	—	creativeml-openrail-m	prithivMLmods	2	4k

Repository changelog

14 commits

Repository changelog 14 commits

Date	Commit	SHA
2025-01-12	Update README.md	aedcc2d
2024-11-18	update tokenizer_config.json,config.json,generation_config.json	7fc9a75
2024-11-18	update tokenizer_config.json,config.json,generation_config.json	ec98bf0
2024-11-11	update README.md	1a62978
2024-11-11	update README.md	65784b8
2024-11-11	update README.md	472053c
2024-11-09	Update README.md	4b1b5d8
2024-11-09	Update config.json	f72a628
2024-11-09	Update generation_config.json	156d6e6
2024-11-08	Create README.md	fa2b5ae
2024-11-06	Update generation_config.json	715887a
2024-11-06	Update config.json	93e1f0b
2024-11-06	Upload folder using huggingface_hub	2155075
2024-11-06	initial commit	8a3d3c8

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Qwen2.5-Coder-14B-Instruct, 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	Qwen/Qwen2.5-Coder-14B-Instruct	—	—	—	—	—	—	—	live	2026-10-25

Articles and coverage

29 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.

Official2

Qwen2.5: A Party of Foundation Models

qwenlm.github.io2024-09-18officialauthorityHN front pageabout the Qwen2.5 familyHN 168 pts · 38 comments1,744 words

Qwen2.5 introduces dense decoder-only models pretrained on up to 18 trillion tokens, available in sizes from 0.5B to 72B parameters. Most variants are licensed under Apache 2.0, excluding the 3B and 72B models, and support a 128K context window with 8K generation limits. Specialized versions for coding and mathematics offer enhanced performance on benchmarks like HumanEval and MATH.written, reviewed, cited

Qwen2.5-Coder-7B-Instruct outperforms many larger language models across a range of programming languages and tasks.
Qwen2.5-Math-72B-Instruct general performance surpasses both Qwen2-Math-72B-Instruct and GPT4-o.

Qwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Coding

qwenlm.github.io2024-11-11officialauthorityabout the Qwen2.5 familyHN 23 pts · 0 comments1,210 words

Analysis7

Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac

simonwillison.net2024-11-13authorityHN front pageabout the Qwen2.5 familyHN 164 pts · 65 comments635 words

Alibaba released the Qwen2.5-Coder-32B-Instruct model, an Apache 2.0 licensed open-source LLM. The 32B model runs on a 64GB MacBook Pro M2 via Ollama or MLX, fetching a 20GB quantized file. On MLX, it achieved 10.016 tokens-per-sec generation speed with 32.685 GB peak memory usage.written, reviewed, cited

The model requires a workaround for an SSL bug when using the standard library instead of requests or httpx.
Running the Ollama version was too slow because the author did not have the tool compiled to use the Mac's GPU.

Qwen2.5-Coder Technical Report - arXiv

arxiv.orgauthorityabout the Qwen2.5 family14,825 words

Qwen2.5-Coder-32B with coding abilities matching those of GPT-4o

github.com2024-11-09authorityabout the Qwen2.5 familyHN 21 pts · 6 comments1,815 words

Qwen2.5-Coder Technical Report

arxiv.org2024-11-11authorityabout the Qwen2.5 familyHN 4 pts · 0 comments

Qwen/Qwen2.5-Coder-14B-Instruct Benchmark Scores & Evals

benchmarklist.com

Qwen 2.5 Coder 32B vs Qwen 2.5 Coder 14B Instruct — head-to-head specs & benchmarks | BestLLMfor

bestllmfor.com

Qwen2.5-Coder-14B-Instruct by Qwen - Overview, Benchmarks & Hardware | Q4KM.ai

q4km.ai

Community1

Qwen2.5-coder on the events occurring during the Tiananmen Square protests

news.ycombinator.com2024-11-20about the Qwen2.5 familyHN 7 pts · 4 comments

All coverage tracked for this model (29) — append-only, nothing is ever removed

Title	Source	Published	First seen	Signals
Qwen2.5-Coder Technical Report - arXiv	arxiv.org	—	2026-10-07	exa
Qwen/Qwen2.5-Coder-14B-Instruct Benchmark Scores & Evals	benchmarklist.com	—	2026-10-07	exa
Qwen 2.5 Coder 32B vs Qwen 2.5 Coder 14B Instruct — head-to-head specs & benchmarks \| BestLLMfor	bestllmfor.com	—	2026-10-07	exa
Qwen2.5-Coder-14B-Instruct by Qwen - Overview, Benchmarks & Hardware \| Q4KM.ai	q4km.ai	—	2026-10-07	exa
kev: Jev-like model built on Qwen2.5-0.5B	github.com	2026-09-19	2026-10-07	hn
Civic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt data	itsmeduncan.com	2026-04-25	2026-10-07	hn
Show HN: Fine-tuned Qwen2.5-7B on 100 films for probabilistic story graphs	cinegraphs.ai	2026-02-08	2026-10-07	hn
Qwen2.5-Omni Technical Report	huggingface.co	2025-03-30	2026-10-07	hn
Alibaba Qwen2.5-Omni-7B: Open Source End-to-End Multimodal AI Model	alizila.com	2025-03-27	2026-10-07	hn
Qwen2.5 Omni: See, Hear, Talk, Write, Do It All	qwenlm.github.io official	2025-03-26	2026-10-07	hn
Qwen2.5-VL-32B: Smarter and Lighter	simonwillison.net	2025-03-25	2026-10-07	hn
Qwen2.5-VL-32B: Smarter and Lighter	qwenlm.github.io official	2025-03-24	2026-10-07	hn
Qwen2.5-Plus	chat.qwenlm.ai	2025-01-31	2026-10-07	hn
Qwen2.5-VL: State-of-the-art multimodal LLM	github.com	2025-01-30	2026-10-07	hn
Qwen2.5-Max: The Next Leap in AI Innovation	medium.com	2025-01-29	2026-10-07	hn
New Qwen2.5-Max Outperforms DeepSeek V3 in Benchmarks	twitter.com	2025-01-28	2026-10-07	hn
Qwen2.5-Max: Exploring the intelligence of large-scale MoE model	qwenlm.github.io official	2025-01-28	2026-10-07	hn
Show HN: I made a free study tool powered by Qwen2.5	freeflashcardgenerator.com	2025-01-28	2026-10-07	hn
Qwen2.5-VL	qwenlm.github.io official	2025-01-27	2026-10-07	hn
Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M	simonwillison.net	2025-01-26	2026-10-07	hn
Qwen2.5-1M: Deploy your own Qwen with context length up to 1M tokens	qwenlm.github.io official	2025-01-26	2026-10-07	hn
Qwen2.5-coder on the events occurring during the Tiananmen Square protests	news.ycombinator.com	2024-11-20	2026-10-07	hn
Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac	simonwillison.net	2024-11-13	2026-10-07	hn
Qwen2.5-Coder Technical Report	arxiv.org	2024-11-11	2026-10-07	hn
Qwen2.5 Coder	ollama.com	2024-11-11	2026-10-07	hn
Qwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Coding	qwenlm.github.io official	2024-11-11	2026-10-07	hn, exa
Qwen2.5-Coder-32B with coding abilities matching those of GPT-4o	github.com	2024-11-09	2026-10-07	hn
Guide how to use a local LLM Qwen2.5-coder-7B as an autocompelte in VSCode	eamag.me	2024-10-29	2026-10-07	hn
Qwen2.5: A Party of Foundation Models	qwenlm.github.io official	2024-09-18	2026-10-07	hn

Papers

3 papers

Papers 3

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).

Qwen2 Technical Report this model

An Yang, Baosong Yang, Binyuan Hui +59 · 2024-07-15 · PDF · HF paper page (176 upvotes)
Qwen2.5-Coder Technical Report this model

Binyuan Hui, Jian Yang, Zeyu Cui +21 · 2024-09-18 · PDF · HF paper page (160 upvotes)
YaRN: Efficient Context Window Extension of Large Language Models cited in card

Bowen Peng, Jeffrey Quesnelle, Honglu Fan +1 · 2023-08-31 · PDF · HF paper page (88 upvotes)

Similar models

3 models

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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
DeepSeek-R1-Distill-Qwen-14B · 14.8B
same size band (L), same task (text-generation), more providers, permissive license

Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:35 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:03 UTC · Last verified 2026-10-25

Follow Qwen2.5-Coder-14B-Instruct

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