Models › bge-large family

bge-large-zh-v1.5

BAAI MIT out 3 years ago

Text in, embeddings out, 512 tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #34 in Embeddings · score 93.2 method v1 Sources 3 Downloads 30d 322.4k · #212 of 619 tracked

Can I use it?MITPermissivelicence file2026-10-24
Do people use it?322.4kdownloads, 30 days#212 of 619 we track · top 34%+0 likes, downloads −7% this week650 likesHugging Face2026-10-24

Worth reading

Picked by rule from 4 tracked pieces: the lab's own post, the most shared, a field report, the latest.

4 best of 4 tracked

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

  1. Articlebge-large-zh-v1.5 | PromptLayer Modelspromptlayer.com · undated
  2. Articlebge-large-zh-v1.5与bge-base-zh-v1.5性能差异解析_编程语言-CSDN问答ask.csdn.net · undated

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 HF Inference — — — — 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; 5 quantized builds for local use.

  • As a service1HF Inference
  • On own hardware5quantized builds
  • Built on1111 fine-tunes · 0 adapters · 0 merges
  • In apps100+Hugging Face Spaces

Top Spaces running it: IndexTeam/Index-1.9B-Character ♥ 12 · lightmate/llm-chatbot ♥ 9 · nyust-eb210/telligent_nlp_semantic ♥ 3 · AdamyaG/Talk_with_Sites ♥ 3

The story so far

Weights, every dated article, and repo commits on one rail.

1 dated article and 15 repo commits so far

Teal is the weights (2023-09-12), amber triangles are 1 dated article (each links to it), grey ticks are repo commits.

OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-04-02: 1 repo commit2024-03-29: 1 repo commit2024-02-02: 1 repo commit2023-10-12: 1 repo commit2023-09-27: 2 repo commits2023-09-15: 1 repo commit2023-09-14: 1 repo commit2023-09-12: 7 repo commitsbge-large-zh-v1.5源码解读:深入理解模型训练与推理过程-平芜编程栈 · 2026-10-07Weights 2023-09-12 · 2023-09-12Weights 2023-09-12now · 1 provider
OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-04-02: 1 repo commit2024-03-29: 1 repo commit2024-02-02: 1 repo commit2023-10-12: 1 repo commit2023-09-27: 2 repo commits2023-09-15: 1 repo commit2023-09-14: 1 repo commit2023-09-12: 7 repo commitsbge-large-zh-v1.5源码解读:深入理解模型训练与推理过程-平芜编程栈 · 2026-10-07Weights 2023-09-12 · 2023-09-12Weights 2023-09-12now · 1 provider

What people built on it

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

16 derivatives on the Hub, most of them fine-tunes

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

5 quantized (Hugging Face model tree)11 fine-tunes (Hugging Face model tree)5 quantized11 fine-tunes
5 quantized (Hugging Face model tree)11 fine-tunes (Hugging Face model tree)5 quantized11 fine-tunes

All variants →

Reference

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

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

18 fields

Listed in Embeddings

Facts

Pipeline tagfeature-extraction
Librarysentence-transformers
ArchitecturesBertModel
Model typebert
Dtypefloat32
MoEno
Context length512 (config.json max_position_embeddings)
Languageszh
PapersarXiv:2401.03462, arXiv:2312.15503, arXiv:2311.13534, arXiv:2310.07554, arXiv:2309.07597
LicenseMIT (mit)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · BertModel · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · BertModel · 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.

All variants

16 variants

Lineage

Original model Family: BAAI/bge-large 16 derivatives on the Hub

quantized: 5finetune: 11

Top variants (16 shown, ranked by downloads)

Relation
16 rows
Variant Relation Quant Params Band License Author Likes Downloads
Xenova/bge-large-zh-v1.5 quantized — — — — Xenova 9 27.3k
mradermacher/bge-large-zh-v1.5-GGUF quantized GGUF — — mit mradermacher 4 5.8k
mradermacher/bge-large-zh-v1.5-i1-GGUF quantized GGUF — — mit mradermacher 2 5.2k
JayThinkDiff/CRE-0.5 finetune — 326M S — JayThinkDiff 0 931
nmcsitian/bge-meteo-zh finetune — 326M S mit nmcsitian 0 475
yenstdi/embbedding_text_1111 finetune — 326M S — yenstdi 0 350
Jarbas/m2v-256-bge-large-zh-v1.5 finetune — 5.38M S mit Jarbas 0 156
puppyyyo/larceny-large-ICT_v2 finetune — 326M S — puppyyyo 0 105
Ye0101/bge-finetuned-rag finetune — 326M S — Ye0101 0 102
JasonYANG170/bge-large-zh-v1.5-ONNX quantized — — — mit JasonYANG170 0 69
nmcsitian/bge-meteo-zh-v2 finetune — 326M S mit nmcsitian 0 68
baby2008/bge-large-zh-v1.5 quantized — — — — baby2008 0 55
RahatLukuum/bge-small-ner-conll2003 finetune — 324M S mit RahatLukuum 0 50
wanfang-chatbot-research-team/Question-Classify-Model finetune — — — — wanfang-chatbot-research-team 1 0
puppyyyo/larceny-large-ICT_v1 finetune — 326M S — puppyyyo 0 43
puppyyyo/larceny-large-ICT_v3 finetune — 326M S — puppyyyo 0 32

Repository changelog

15 commits

Repository changelog 15 commits

DateCommitSHA
2024-04-02 Delete model.safetensors 79e7739
2024-03-29 Add tags for finding this model more easily (#15) 300f738
2024-02-02 Update README.md c11661b
2023-10-12 update b5c9d86
2023-09-27 Merge branch 'main' of https://huggingface.co/BAAI/bge-large-zh-v1.5 into main 029c4bf
2023-09-27 update 2f0b0c2
2023-09-15 update 9f4797b
2023-09-14 Adding `safetensors` variant of this model (#1) 00f8ffc
2023-09-12 update e178fac
2023-09-12 update a05849a
2023-09-12 update 9d3e225
2023-09-12 update bc5e88a
2023-09-12 update d7b4914
2023-09-12 upload f6e1776
2023-09-12 initial commit 97df4bf

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for bge-large-zh-v1.5, 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
HF Inference
hf
BAAI/bge-large-zh-v1.5 — — — — — — — live 2026-10-25

Articles and coverage

4 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

pwwt.cn2026-10-07
promptlayer.com252 words
BGE-Large-ZH-V1.5 is a Chinese language embedding model developed by BAAI that generates 1024-dimensional embeddings. The v1.5 version features improved similarity distribution and achieves SOTA performance on the C-MTEB benchmark.generated, cited
lmspeed.net363 words
ask.csdn.net

Papers

5 papers

Papers 5

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 21:35 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:02 UTC · Last verified 2026-10-25

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