id
processing priority
3
site type
0 (generic, awaiting analysis)
review version
11
html import
20 (imported)
first seen date
2025-01-07 02:16:53
expired found date
-
created at
2025-01-07 02:16:53
updated at
2025-01-07 02:16:53
length
23
crc
36221
tld
86
nm parts
0
nm random digits
0
nm rare letters
0
is subdomain of id
87719371 (github.io)
previous id
0
replaced with id
0
related id
-
dns primary id
0
dns alternative id
0
lifecycle status
0 (unclassified, or currently active)
deleted subdomains
0
page imported products
0
page imported random
0
page imported parking
0
count skipped due to recent timeouts on the same server IP
0
count content received but rejected due to 11-799
0
count dns errors
0
count cert errors
0
count timeouts
0
count http 429
0
count http 404
0
count http 403
0
count http 5xx
0
next operation date
-
server bits
—
server ip
-
mp import status
20
mp rejected date
-
mp saved date
-
mp size orig
71027
mp size raw text
20975
mp inner links count
0
mp inner links status
1 (no links)
title
Cambrian-1: A Fully Open Vision-Centric Exploration of MLLMs
description
Cambrian-1 is a family of multimodal LLMs with a vision-centric design. We also release CV-Bench, a new vision-centric benchmark, and Cambrian-10M, a multimodal instruction-tuning dataset.
site name
author
updated
2026-02-18 11:00:10
raw text
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs Cambrian-1 A Fully Open, Vision-Centric Exploration of Multimodal LLMs Introducing Cambrian-1, a family of vision-centric multimodal LLMs (MLLMs). Cambrian-1 is structured around five key pillars: Visual Representations : We explore various vision encoders and their combinations. Connector Design : We design a new dynamic and spatially-aware connector that integrates visual features from several models with LLMs while reducing the number of tokens. Instruction Tuning Data : We curate high-quality visual instruction-tuning data from public sources, emphasizing the importance of distribution balancing. Instruction Tuning Recipes : We discuss instruction tuning strategies and practices. Benchmarking : We examine existing MLLM benchmarks and introduce a new vision-centric benchmark, "CV-Bench". ...
redirect type
0 (-)
block type
0 (no issues)
detected language
1 (English)
category id
AI [en] (229)
index version
2025123101
spam phrases
0
text nonlatin
0
text cyrillic
0
text characters
14049
text words
2957
text unique words
804
text lines
751
text sentences
105
text paragraphs
34
text words per sentence
28
text matched phrases
2
text matched dictionaries
2
links self subdomains
0
links other subdomains
1 - yann.lecun.com
links other domains
links spam adult
0
links spam random
0
links spam expired
0
links ext activities
4
links ext ecommerce
0
links ext finance
0
links ext crypto
0
links ext booking
0
links ext news
0
links ext leaks
0
links ext ugc
16 - linkedin.com
links ext klim
0
links ext generic
1
dol status
0
dol updated
2026-02-18 11:00:10
rss path
rss status
1 (priority 1 already searched, no matches found)
rss found date
-
rss size orig
0
rss items
0
rss spam phrases
0
rss detected language
0 (awaiting analysis)
inbefore feed id
-
inbefore status
0 (new)
sitemap path
sitemap status
1 (priority 1 already searched, no matches found)
sitemap review version
1
sitemap urls count
0
sitemap urls adult
0
sitemap filtered products
0
sitemap filtered videos
0
sitemap found date
-
sitemap process date
-
sitemap first import date
-
sitemap last import date
-