Qwen2.5-1.5B

1.54B parameters, text in, text out, 128K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #166 in LLMs · score 91.4 method v1 Sources 3 Downloads 30d 650k · #144 of 619 tracked

Changed this week: 3 new quantized builds on the Hub (83 in all).2026-10-24

Can I run it?0.9GB at INT4Estimatefits a 16 GB cardmethod

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

Do people use it?650kdownloads, 30 days#144 of 619 we track · top 23%+4 likes, downloads −1% this week241 likesHugging Face2026-10-24

Worth reading

Picked by rule from 32 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Latest · 2 years ago

Qwen2.5: A Party of Foundation Models

Qwen2.5 introduces dense decoder-only models pretrained on up to 18 trillion tokens, available in sizes from 0.5B to 72B parameters.

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.

qwenlm.github.io 2024-09-18 168 HN pts · 38 comments 1.7k words about the Qwen2.5 family family

25 best of 32 tracked

The 1 pick above, plus these 24. 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-Max: Exploring the intelligence of large-scale MoE modelqwenlm.github.io · 2025-01-28 · official
ArticleQwen2.5-Coder-32B is an LLM that can code well that runs on my Macsimonwillison.net · 2024-11-13
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
ArticleQwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Codingqwenlm.github.io · 2024-11-11 · official
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
ArticleQwen2.5 Omni: See, Hear, Talk, Write, Do It Allqwenlm.github.io · 2025-03-26 · official
ArticleQwen2.5-LLM: Extending the Boundary of LLMs - Alibaba Cloudalibabacloud.com · undated · official
ArticleAlibaba Qwen2.5-Omni-7B: Open Source End-to-End Multimodal AI Modelalizila.com · 2025-03-27
CodeREADME.mdgithub.com · undated
ArticleQwen2.5-VL-32B: Smarter and Lightersimonwillison.net · 2025-03-25
ArticleQwen2.5-LLM: Extending the boundary of LLMs | Qwenqwenlm.github.io · 2024-09-18 · official
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
DiscussionQwen2.5-coder on the events occurring during the Tiananmen Square protestsnews.ycombinator.com · 2024-11-20
PaperQwen2.5 Technical Reportarxiv.org · 2025-01-03
CodeQwen2.5-VL: State-of-the-art multimodal LLMgithub.com · 2025-01-30

Show all 24

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 (83 quantized builds); a big base for builders (954 fine-tunes, adapters and merges).

As a service1Featherless
On own hardware83quantized builds
Built on954438 fine-tunes · 477 adapters · 39 merges
In apps100+Hugging Face Spaces

Top Spaces running it: pliny-the-prompter/obliteratus ♥ 621 · baconnier/prompt-plus-plus ♥ 246 · anycoderapps/VibeVoice-Realtime-0.5B ♥ 190 · yasserrmd/VibeVoice ♥ 179

Will it fit?

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

Fits a 16 GB card at INT4

About 0.9 GB at INT4, 1.9 GB at FP8, 3.7 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.

5 dated articles and 13 repo commits so far

Teal is the weights (2024-09-15), amber triangles are 5 dated articles (each links to it), grey ticks are repo commits.

What people built on it

1,037 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

1,037 derivatives on the Hub, led by 477 adapters

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

GGUF QuantFactory/Qwen2.5-1.5B-Instruct-GGUF for llama.cpp, Ollama, LM Studio 43.6k downloads MLX mlx-community/Qwen2.5-1.5B-Instruct-4bit for Apple silicon 961k downloads FP8 genovalabs/Qwen2.5-1.5B-Instruct-fp8-dynamic for vLLM, SGLang 29.4k downloads

All variants →

Reference

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

What the card says

2 cited sentences

Summary generated, cited

Qwen2.5-1.5B is a 1.54B parameter causal language model designed for text generation.^[1]^[2] It supports a context length of 32,768 tokens.^[3]

parameters human
“Type: Causal Language Models”
“Context Length: Full 32,768 tokens”

Generated 2026-10-07 15:04 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.

Run on a laptop or phonestructuraldecision-model estimate p=1.00 name: 1.5B fits: edge
Chat and follow instructionsstructuraltag: conversational chat template present
Call tools and APIsstructuralchat template: <tool_call>
Read long documentsstructuralconfig: 131,072 context
Work across languagesstructuraldecision-model estimate p=0.91

Facts

22 fields

Listed in LLMs

Facts

Qwen2.5-1.5B has 1.54B parameters. (safetensors metadata, observed 2026-10-24)
Context length is 131,072 tokens (128K). (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 2024-09-15, last modified 2024-10-08. (HF API, observed 2026-10-24)

Pipeline tag	text-generation
Library	transformers
Architectures	Qwen2ForCausalLM
Model type	qwen2
Dtype	bfloat16
Params by dtype	BF16: 1,543,714,304
Size band	S
MoE	no
Context length	131,072 (config.json max_position_embeddings)
Languages	en
Papers	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 Qwen2.5-1.5B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)	3.7 GB · Edge (<4 GB)
FP8 (1 byte/param)	1.9 GB · Edge (<4 GB)
INT4 (0.5 bytes/param)	0.9 GB · Edge (<4 GB)

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

All variants

40 variants

Lineage

Original model Family: Qwen/Qwen2.5 1,037 derivatives on the Hub

finetune: 438quantized: 83merge: 39adapter: 477

Top variants (40 shown, ranked by downloads)

Variant	Relation	Quant	Params	Band	License	Author	Likes	Downloads
Gensyn/Qwen2.5-1.5B-Instruct	finetune	—	1.54B	S	apache-2.0	Gensyn	17	9.4M
RedHatAI/Qwen2.5-1.5B-quantized.w8a8	quantized	-quant	1.78B	S	apache-2.0	RedHatAI	4	7.8M
mlx-community/Qwen2.5-1.5B-Instruct-4bit	finetune	-4bit	1.54B	S	apache-2.0	mlx-community	5	961k
unsloth/Qwen2.5-1.5B-unsloth-bnb-4bit	quantized	-bnb	1.58B	S	apache-2.0	unsloth	4	572.8k
unsloth/Qwen2.5-1.5B	finetune	—	1.54B	S	apache-2.0	unsloth	9	148.6k
unsloth/Qwen2.5-1.5B-bnb-4bit	quantized	-bnb	1.58B	S	apache-2.0	unsloth	1	81.8k
nvidia/OpenReasoning-Nemotron-1.5B	finetune	—	1.54B	S	cc-by-4.0	nvidia	61	46.8k
QuantFactory/Qwen2.5-1.5B-Instruct-GGUF	quantized	GGUF	—	—	apache-2.0	QuantFactory	4	43.6k
genovalabs/Qwen2.5-1.5B-Instruct-fp8-dynamic	quantized	-fp8	1.54B	S	apache-2.0	genovalabs	0	29.4k
ThomasBaruzier/Qwen2.5-1.5B-Instruct-GGUF	quantized	GGUF	—	—	apache-2.0	ThomasBaruzier	0	19k
Mungert/Qwen2.5-1.5B-Instruct-GGUF	quantized	GGUF	—	—	apache-2.0	Mungert	8	16.6k
danieldk/Qwen2.5-1.5B-Instruct-w8a8-int-dynamic-weight	quantized	-w8a8	1.54B	S	apache-2.0	danieldk	0	16.1k
QuantFactory/Qwen2.5-Coder-1.5B-GGUF	quantized	GGUF	—	—	apache-2.0	QuantFactory	2	14.9k
Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r	finetune	—	1.54B	S	apache-2.0	Vikhrmodels	31	13.2k
winninghealth/WiNGPT-Babel	quantized	GGUF	1.54B	S	apache-2.0	winninghealth	41	12.6k
mradermacher/Qwen2.5-1.5B-GGUF	quantized	GGUF	—	—	apache-2.0	mradermacher	0	13.8k
metaresearch/PapersRAG-1.5B	finetune	—	1.54B	S	apache-2.0	metaresearch	10	12.9k
mradermacher/Qwen2.5-1.5B-i1-GGUF	quantized	GGUF	—	—	apache-2.0	mradermacher	0	12.2k
OldKingMeister/Qwen2.5-1.5B-Instruct-YaRN	finetune	—	1.54B	S	apache-2.0	OldKingMeister	2	10.8k
mlx-community/Qwen2.5-Coder-1.5B-8bit	finetune	-8bit	1.54B	S	apache-2.0	mlx-community	0	10.9k
QuantFactory/EVA-D-Qwen2.5-1.5B-v0.0-GGUF	quantized	GGUF	—	—	apache-2.0	QuantFactory	2	10.1k
QuantFactory/Qwen2.5-Math-1.5B-GGUF	quantized	GGUF	—	—	apache-2.0	QuantFactory	1	8.2k
sinatras/Qwen2.5-1.5B-Auto-FunctionCaller	quantized	GGUF	—	—	cc-by-nc-nd-4.0	sinatras	1	7.2k
mlx-community/Qwen2.5-Coder-1.5B-4bit	finetune	-4bit	1.54B	S	apache-2.0	mlx-community	3	6.1k
mlx-community/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1-4bit	finetune	-4bit	1.54B	S	apache-2.0	mlx-community	1	6.1k
dphn/Dolphin3.0-Qwen2.5-1.5B	finetune	—	1.54B	S	apache-2.0	dphn	12	5.3k
AIR-hl/Qwen2.5-1.5B-ultrachat200k	finetune	—	1.54B	S	apache-2.0	AIR-hl	0	5.8k
mlx-community/Qwen2.5-1.5B-Instruct-bf16	finetune	-bf16	1.54B	S	apache-2.0	mlx-community	0	5.5k
djpartyface/colosso-sn47-evolai-qwen25-15b	finetune	—	1.54B	S	apache-2.0	djpartyface	0	5.2k
RedHatAI/Qwen2.5-1.5B-FP8-dynamic	quantized	-FP8	1.78B	S	apache-2.0	RedHatAI	0	5.2k
EnzGamers/ABCDAI-R1-1.5b-SFT	finetune	—	1.54B	S	—	EnzGamers	2	4.9k
Writer/palmyra-mini	finetune	—	1.78B	S	apache-2.0	Writer	31	3.4k
Sweaterdog/GRaPE-Mini-Beta	quantized	GGUF	—	—	apache-2.0	Sweaterdog	4	4.6k
roclark/Qwen2.5-Math-1.5B-128k	finetune	—	1.54B	S	apache-2.0	roclark	0	4k
Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1	finetune	—	1.78B	S	apache-2.0	Goekdeniz-Guelmez	6	3.3k
mlx-community/Qwen2.5-1.5B-Instruct-8bit	finetune	-8bit	1.54B	S	apache-2.0	mlx-community	2	3.2k
OpenGVLab/InternVL3-2B-Pretrained	merge	—	2.09B	M	apache-2.0	OpenGVLab	1	2.7k
Volko76/Qwen2.5-Coder-1.5B-GGUF	quantized	GGUF	—	—	apache-2.0	Volko76	0	2.7k
HarethahMo/Qwen2.5-1.5B-Instruct-heretic	finetune	—	1.54B	S	apache-2.0	HarethahMo	0	2.5k
Sweaterdog/GRaPE-Mini-Beta-Thinking	quantized	GGUF	—	—	apache-2.0	Sweaterdog	5	2.2k

Repository changelog

13 commits

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

Repository changelog 13 commits

Date	Commit	SHA
2024-10-08	Update config.json	8faed76
2024-09-25	Update metadata: Add library_name to Transformers (#1)	cf34121
2024-09-20	Upload ./tokenizer_config.json with huggingface_hub	5f3adf4
2024-09-19	Upload ./tokenizer_config.json with huggingface_hub	e5dfabb
2024-09-18	update README & LICENSE	2215461
2024-09-18	Update README.md	f110c0f
2024-09-18	Create LICENSE	0b2487b
2024-09-17	Update README.md	34412e3
2024-09-17	Update README.md	b4b7d0f
2024-09-17	Create README.md	5c455aa
2024-09-16	Upload tokenizer_config.json with huggingface_hub	033b778
2024-09-15	Upload folder using huggingface_hub	09e6328
2024-09-15	initial commit	b55437f

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Qwen2.5-1.5B, 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/Qwen2.5-1.5B	—	—	—	—	—	—	—	live	2026-10-25

Articles and coverage

32 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.

Official3

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-LLM: Extending the Boundary of LLMs - Alibaba Cloud

alibabacloud.comofficialabout the Qwen2.5 family

Qwen2.5-LLM: Extending the boundary of LLMs | Qwen

qwenlm.github.io2024-09-18officialauthorityabout the Qwen2.5 family4,262 words

Analysis5

README.md

github.comauthorityabout the Qwen2.5 family

Qwen2.5 Technical Report

arxiv.org2025-01-03authorityabout the Qwen2.5 family

Qwen2.5-1.5B: Lightweight Open-Source LLM for Edge & Fine-Tuning | Apache 2.0 | DEV.co

dev.co

Show HN: I made a free study tool powered by Qwen2.5

freeflashcardgenerator.com2025-01-28about the Qwen2.5 familyHN 3 pts · 0 comments

Qwen 2.5: a technical introduction and deployment review

sgtcho.com2025-01-20about the Qwen2.5 family

All coverage tracked for this model (32) — append-only, nothing is ever removed

Title	Source	Published	First seen	Signals
Qwen2.5-Coder Technical Report - arXiv	arxiv.org	—	2026-10-07	exa
Qwen2.5-LLM: Extending the Boundary of LLMs - Alibaba Cloud	alibabacloud.com official	—	2026-10-07	exa
README.md	github.com	—	2026-10-07	exa
Qwen2.5-1.5B: Lightweight Open-Source LLM for Edge & Fine-Tuning \| Apache 2.0 \| DEV.co	dev.co	—	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
Qwen 2.5: a technical introduction and deployment review	sgtcho.com	2025-01-20	2026-10-07	exa
Qwen2.5 Technical Report	arxiv.org	2025-01-03	2026-10-07	exa
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
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, exa
Qwen2.5-LLM: Extending the boundary of LLMs \| Qwen	qwenlm.github.io official	2024-09-18	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).

Qwen2 Technical Report this model

An Yang, Baosong Yang, Binyuan Hui +59 · 2024-07-15 · PDF · HF paper page (176 upvotes)

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:36 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:04 UTC · Last verified 2026-10-25

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