Models › zephyr family

HuggingFaceH4 MIT out 3 years ago

7.24B parameters, text in, text out, 32K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #488 in LLMs · score 76.9 method v1 Sources 3 Downloads 30d 5k · #545 of 619 tracked

Changed this week: 3 new quantized builds on the Hub (13 in all).2026-10-24

Can I run it?4.3GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?MITPermissivelicence file2026-10-24
Do people use it?5kdownloads, 30 days#545 of 619 we track · below the median+2 likes, downloads +0% this week1,138 likesHugging Face2026-10-24

Worth reading

Picked by rule from 5 tracked pieces: the lab's own post, the most shared, a field report, the latest.

5 best of 5 tracked

The 2 picks above, plus these 3. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. ArticleStableLM Zephyr 3Bstability.ai · 2023-12-07
  2. ArticleMeet Linux’s little brother: Zephyr, a tiny open-source IoT RTOSlinuxgizmos.com · 2016-02-18 · 7 HN pts
  3. ArticleZero-install embedded training with Zephyr using Kasm and Dockerblog.golioth.io · 2022-07-14 · 6 HN pts

Where to run it

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

#Cheapest live rowIn /1MOut /1MContextQuantSeen
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; 13 quantized builds for local use; a big base for builders (63 fine-tunes, adapters and merges).

  • As a service1Featherless
  • On own hardware13quantized builds
  • Built on6314 fine-tunes · 45 adapters · 4 merges
  • In apps100+Hugging Face Spaces

Top Spaces running it: baconnier/prompt-plus-plus ♥ 246 · NiansuhAI/HFLLMs ♥ 30 · ysharma/Zephyr-Playground ♥ 17 · radinhas/hf-llm-api ♥ 14

Will it fit?

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

Fits a 16 GB card at INT4

About 4.3 GB at INT4, 8.7 GB at FP8, 17 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 4.3 GB of weights (estimate; KV cache and activations extra)INT44.3 GBFP8: about 8.7 GB of weights (estimate; KV cache and activations extra)FP88.7 GBBF16: about 17 GB of weights (estimate; KV cache and activations extra)BF1617 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 4.3 GB of weights (estimate; KV cache and activations extra)INT44.3 GBFP8: about 8.7 GB of weights (estimate; KV cache and activations extra)FP88.7 GBBF16: about 17 GB of weights (estimate; KV cache and activations extra)BF1617 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 (2023-10-09), amber triangles are 4 dated articles (each links to it), grey ticks are repo commits.

MarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-10-16: 1 repo commit2023-11-21: 1 repo commit2023-10-26: 1 repo commit2023-10-17: 1 repo commit2023-10-16: 2 repo commits2023-10-14: 1 repo commit2023-10-13: 3 repo commits2023-10-11: 3 repo commits2023-10-10: 5 repo commits2023-10-09: 3 repo commitsZSWatch – Open-source Zephyr-based smartwatch · 2023-01-14Zephyr: A scalable Real-Time operating system for IoT embedded devices · 2019-11-29Meet Linux’s little brother: Zephyr, a tiny open-source IoT RTOS · 2016-02-18Zero-install embedded training with Zephyr using Kasm and Docker · 2022-07-14Weights 2023-10-09 · 2023-10-09Weights 2023-10-09now · 1 provider
MarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-10-16: 1 repo commit2023-11-21: 1 repo commit2023-10-26: 1 repo commit2023-10-17: 1 repo commit2023-10-16: 2 repo commits2023-10-14: 1 repo commit2023-10-13: 3 repo commits2023-10-11: 3 repo commits2023-10-10: 5 repo commits2023-10-09: 3 repo commitsZSWatch – Open-source Zephyr-based smartwatch · 2023-01-14Zephyr: A scalable Real-Time operating system for IoT embedded devices · 2019-11-29Meet Linux’s little brother: Zephyr, a tiny open-source IoT RTOS · 2016-02-18Zero-install embedded training with Zephyr using Kasm and Docker · 2022-07-14Weights 2023-10-09 · 2023-10-09Weights 2023-10-09now · 1 provider

What people built on it

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

76 derivatives on the Hub, most of them adapters

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

13 quantized (Hugging Face model tree)14 fine-tunes (Hugging Face model tree)4 merges (Hugging Face model tree)45 adapters (Hugging Face model tree)13 quantized14 fine-tunes4 merges45 adapters
13 quantized (Hugging Face model tree)14 fine-tunes (Hugging Face model tree)4 merges (Hugging Face model tree)45 adapters (Hugging Face model tree)13 quantized14 fine-tunes4 merges45 adapters

All variants →

Reference

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

Benchmarks

9 rows

Benchmarks 9 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (9)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 Logits/chosen-2.74—model author2026-10-07
author-reported Logits/rejected-2.72—model author2026-10-07
author-reported Logps/chosen-297.1—model author2026-10-07
author-reported Logps/rejected-327.43—model author2026-10-07
author-reported Loss0.46—model author2026-10-07
author-reported Rewards/accuracies0.78—model author2026-10-07
author-reported Rewards/chosen-0.51—model author2026-10-07
author-reported Rewards/margins1.37—model author2026-10-07
author-reported Rewards/rejected-1.88—model author2026-10-07

Use-case evidence

2 use cases

What it is good at 2 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

21 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesMistralForCausalLM
Model typemistral
Dtypebfloat16
Params by dtypeBF16: 7,241,732,096
Size bandM
MoEno
Context length32,768 (config.json max_position_embeddings)
Languagesen
PapersarXiv:2305.18290, arXiv:2310.16944, arXiv:2305.14233, arXiv:2310.01377
LicenseMIT (mit)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · MistralForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · MistralForCausalLM · 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 zephyr-7b-alpha: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)17 GB · Single GPU (<24 GB)
FP8 (1 byte/param)8.7 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)4.3 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 mistralai/Mistral-7B-v0.1 Family: HuggingFaceH4/zephyr 76 derivatives on the Hub

Base model: mistralai/Mistral-7B-v0.1

quantized: 13merge: 4finetune: 14adapter: 45

Top variants (40 shown, ranked by downloads)

Relation
Quant
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
TheBloke/zephyr-7B-alpha-AWQ quantized AWQ 7.24B M mit TheBloke 18 136.2k
TheBloke/zephyr-7B-alpha-GPTQ quantized GPTQ 7.24B M mit TheBloke 26 121.3k
TheBloke/zephyr-7B-alpha-GGUF quantized GGUF — — mit TheBloke 138 51.6k
sethuiyer/SynthIQ-7b merge — 7.24B M llama2 sethuiyer 3 21.6k
mradermacher/zephyr-7b-alpha-GGUF quantized GGUF — — mit mradermacher 0 9.2k
MaziyarPanahi/zephyr-7b-alpha-GGUF quantized GGUF — — apache-2.0 MaziyarPanahi 0 7.5k
QuantFactory/zephyr-7b-alpha-GGUF quantized GGUF — — mit QuantFactory 0 7k
second-state/Zephyr-7B-Alpha-GGUF quantized GGUF — — mit second-state 0 6.4k
tensorblock/zephyr-7b-alpha-GGUF quantized GGUF — — mit tensorblock 0 2k
monsterapi/zephyr-7b-alpha_metamathqa finetune — 7.24B M apache-2.0 monsterapi 4 849
Sakalti/Magro-7b-v1.1 merge — 7.24B M mit Sakalti 0 823
linxule/zephyr-7b-alpha.Q4_K_M quantized GGUF — — mit linxule 0 609
monsterapi/zephyr_7b_norobots adapter — — — apache-2.0 monsterapi 2 304
liodon-ai/zephyr-7b-alpha-imatrix-GGUF quantized imatrix — — other liodon-ai 1 289
liodon-ai/zephyr-7b-alpha-ONNX quantized — — — other liodon-ai 0 166
eek/zephyr-7b-sft-lora adapter — — — mit eek 0 144
monsterapi/zephyr_7b_WizardLMEvolInstruct70k adapter — — — apache-2.0 monsterapi 0 135
mzhaoshuai/zephyr-7b-alpha-conf-sft quantized — — — apache-2.0 mzhaoshuai 0 127
koussayyyy/zephyr_automotive_testcase_model adapter — — — mit koussayyyy 2 23
BadreddineHug/zyph_OCR adapter — — — — BadreddineHug 0 120
theBodhiTree/Zephyr_7B_AlphaBeta_TaskArithmetic finetune — 7.11B M — theBodhiTree 1 69
shaktiman404/ZephyrChat-Mistral-7B merge — 7.24B M — shaktiman404 1 64
tourist800/ORKG-zephyr-7b-alpha-finetune adapter — — — — tourist800 0 106
Teera/Zephyr-7B-Relation-Extraction-fully adapter — — — — Teera 0 85
Ghali20/test_1 adapter — — — — Ghali20 1 33
RichardMJ/my-Zephyr1 adapter — — — — RichardMJ 0 77
masonanalytics/HuggingFaceH4-zephyr-7b-alpha-FullChat-LORA-512 adapter — — — — masonanalytics 0 70
Fermat111/Prueba9927Zephyr adapter — — — — Fermat111 0 68
xiaorui638/mistral_merged8_ties merge — 7.24B M — xiaorui638 0 63
HadrousPrime/SDS_Fine_Tune_Qlora adapter — — — — HadrousPrime 0 61
masonanalytics/PEFT-Zephyr-7B-Alpha adapter — — — — masonanalytics 0 57
masonanalytics/HuggingFaceH4-zephyr-7b-alpha-20231105-1024Tokens-lora adapter — — — — masonanalytics 0 42
AswanthCManoj/azma-zephyre-lora-adapter adapter — — — — AswanthCManoj 0 40
BadreddineHug/Zephyr_finetuned adapter — — — — BadreddineHug 0 40
masonanalytics/PEFT-Zephyr-7B-Alpha_8bit adapter — — — — masonanalytics 0 38
llm-wizard/sft_zephyr adapter — — — mit llm-wizard 0 37
BadreddineHug/zeyphr_5Ms adapter — — — — BadreddineHug 0 35
iagoalves/zephyr_7b_enem_apostilas_1500steps_constant_zzzzzzz adapter — — — mit iagoalves 0 35
BadreddineHug/zyph_5M_167_rows adapter — — — — BadreddineHug 0 34
BadreddineHug/zephyr_test_1 adapter — — — — BadreddineHug 0 34

Repository changelog

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

Repository changelog 21 commits

DateCommitSHA
2024-10-16 Update README.md 014792b
2023-11-21 Update README.md 2ce2d02
2023-10-26 Add base_model tag f28e1c0
2023-10-17 Update README.md 5d2b362
2023-10-16 Upload colab-demo.ipynb 2140056
2023-10-16 Shard checkpoints in 2GB chunks to run on Colab fd8e906
2023-10-14 Delete dialogue_template.json 080e169
2023-10-13 Upload thumbnail.png 3d9d09e
2023-10-13 Update README.md 4d16a3f
2023-10-13 Change license to MIT 🪁 3e8baad
2023-10-11 Update README.md ad12cca
2023-10-11 Add chat template to README aa57c05
2023-10-11 Add chat template (#2) 9894b57
2023-10-10 Update README.md 19ac753
2023-10-10 Update README.md 2cd2cd1
2023-10-10 Upload thumbnail.png 366696a
2023-10-10 Update README.md 4372f6c
2023-10-10 Fix EOS token c0b9e47
2023-10-09 Update config.json 284563e
2023-10-09 Add HuggingFaceH4/mistral-7b-dpo-v0.4 checkpoint ed8ea81
2023-10-09 initial commit 7e6e85d

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for zephyr-7b-alpha, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
Featherless
hf
HuggingFaceH4/zephyr-7b-alpha — — — — — — — live 2026-10-25

Articles and coverage

5 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.

Analysis4

github.com2023-01-14authorityHN front pageabout the zephyr familyHN 181 pts · 44 comments686 words
zephyrproject.org2019-11-29HN front pageabout the zephyr familyHN 123 pts · 30 comments
linuxgizmos.com2016-02-18about the zephyr familyHN 7 pts · 0 comments
blog.golioth.io2022-07-14about the zephyr familyHN 6 pts · 0 comments1,766 words
Golioth enables zero-install embedded training for Zephyr using Kasm and Docker to normalize development environments. The solution runs on a pre-configured Ubuntu Focal image where users can compile binaries and flash devices like the Adafruit MagTag via UF2 files. While Kasm offers a free trial for up to 5 seats, the setup automates tool installation to bypass local OS variations and shared bandwidth limits.written, reviewed, cited
  • The MagTag default bootloader loads UF2 files when the device appears as a mass storage drive after a button sequence.
  • Debugging with Segger Ozone requires downloading the zephyr.elf file instead of the zephyr.bin file from the container.
  • Kasm Technologies switches to a per seat licensing model once users exceed the initial 5 trial seats.
All coverage tracked for this model (5) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
StableLM Zephyr 3Bstability.ai2023-12-072026-10-07hn
ZSWatch – Open-source Zephyr-based smartwatchgithub.com2023-01-142026-10-07hn
Zero-install embedded training with Zephyr using Kasm and Dockerblog.golioth.io2022-07-142026-10-07hn
Zephyr: A scalable Real-Time operating system for IoT embedded deviceszephyrproject.org2019-11-292026-10-07hn
Meet Linux’s little brother: Zephyr, a tiny open-source IoT RTOSlinuxgizmos.com2016-02-182026-10-07hn

Papers

4 papers

Papers 4

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

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:40 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:12 UTC · Last verified 2026-10-25

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