The SyncDev models directory

AI Models Directory

Find the right model for the work you need to do. Explore 3,077 profiles, from hosted language models to image, audio and video generators and downloadable checkpoints.

Explore all models · Page 16

Start with our shortlist, search a model family, or filter by task and deployment. Prices apply to the listed route; a dash means a figure is not recorded.

CornLogic/10EROS_1.4_Int8_ConvRot
CornLogic
10.0————
CornLogic/10EROS-INT8
CornLogic
10.0————
cross-encoder-testing/reranker-bert-tiny-gooaq-bce
cross-encoder-testing
5.0————
cross-encoder/ettin-reranker-32m-v1
cross-encoder
5.0————
cross-encoder/mmarco-mMiniLMv2-L12-H384-v1
cross-encoder
5.0————
cross-encoder/ms-marco-electra-base
cross-encoder
5.0————
cross-encoder/ms-marco-MiniLM-L12-v2
cross-encoder
5.0————
cross-encoder/ms-marco-MiniLM-L2-v2
cross-encoder
5.0————
cross-encoder/ms-marco-MiniLM-L4-v2
cross-encoder
5.0————
cross-encoder/ms-marco-MiniLM-L6-v2
cross-encoder
5.0————
cross-encoder/ms-marco-TinyBERT-L2
cross-encoder
5.0————
cross-encoder/ms-marco-TinyBERT-L2-v2
cross-encoder
5.0————
cross-encoder/ms-marco-TinyBERT-L6
cross-encoder
5.0————
cross-encoder/nli-deberta-v3-base
cross-encoder
5.0————
cross-encoder/nli-deberta-v3-large
cross-encoder
5.0————
cross-encoder/nli-deberta-v3-small
cross-encoder
5.0————
cross-encoder/nli-deberta-v3-xsmall
cross-encoder
5.0————
cross-encoder/nli-distilroberta-base
cross-encoder
5.0————
cross-encoder/nli-MiniLM2-L6-H768
cross-encoder
5.0————
cross-encoder/qnli-electra-base
cross-encoder
5.0————
cross-encoder/quora-distilroberta-base
cross-encoder
5.0————
cross-encoder/quora-roberta-base
cross-encoder
5.0————
cross-encoder/stsb-distilroberta-base
cross-encoder
5.0————
cross-encoder/stsb-roberta-base
cross-encoder
5.0————
cross-encoder/stsb-roberta-large
cross-encoder
5.0————
cross-encoder/stsb-TinyBERT-L4
cross-encoder
5.0————
crynux-network/stable-diffusion-v1-5
crynux-network
5.0————
csarron/bert-base-uncased-squad-v1
csarron
0.0————
csarron/mobilebert-uncased-squad-v1
csarron
0.0————
csarron/mobilebert-uncased-squad-v2
csarron
0.0————
csebuetnlp/mT5_m2o_arabic_crossSum
csebuetnlp
0.0————
csebuetnlp/mT5_multilingual_XLSum
csebuetnlp
0.0————
cstr/MOSS-Audio-4B-Instruct-GGUF
cstr
5.0————
cstr/qwen3-tts-tokenizer-12hz-GGUF
cstr
10.0————
cubis/mbta-track-predictor
cubis
10.0————
cyankiwi/gemma-4-12B-it-AWQ-INT4
cyankiwi
20.0————
cyankiwi/gemma-4-12B-it-qat-AWQ-INT4
cyankiwi
20.0————
cyankiwi/gemma-4-26B-A4B-it-AWQ-4bit
cyankiwi
5.0————
cyankiwi/gemma-4-E4B-it-AWQ-INT4
cyankiwi
20.0————
cyankiwi/Qwen3-Omni-30B-A3B-Instruct-AWQ-8bit
cyankiwi
20.0————
cyankiwi/Qwen3.6-27B-AWQ-INT4
cyankiwi
5.0————
cyankiwi/Qwen3.6-35B-A3B-AWQ-4bit
cyankiwi
5.0————
cybersectony/phishing-email-detection-distilbert_v2.4.1
cybersectony
5.0————
d0rj/rut5-base-summ
d0rj
0.0————
daekeun-ml/koelectra-small-v3-nsmc
daekeun-ml
5.0————
DAMO-NLP-SG/VideoLLaMA2.1-7B-AV
DAMO-NLP-SG
5.0————
DAMO-NLP-SG/VideoLLaMA3-2B
DAMO-NLP-SG
5.0————
DAMO-NLP-SG/VideoLLaMA3-7B
DAMO-NLP-SG
5.0————
dandelin/vilt-b32-finetuned-vqa
dandelin
5.0————
Dani-3/Qwen3-VL-4B-Instruct-Unredacted-MAX-GGUF
Dani-3
10.0————
dascim/juribert-base
dascim
0.0————
datalab-to/chandra-ocr-2
datalab-to
5.0————
datalab-to/surya_layout2
datalab-to
10.0————
datasocietyco/bge-base-en-v1.5-course-recommender-v5
datasocietyco
5.0————
DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF
DavidAU
5.0————
Davlan/bert-base-multilingual-cased-ner-hrl
Davlan
5.0————
Davlan/distilbert-base-multilingual-cased-ner-hrl
Davlan
5.0————
Davlan/xlm-roberta-base-ner-hrl
Davlan
5.0————
dbmdz/bert-large-cased-finetuned-conll03-english
dbmdz
5.0————
dccuchile/bert-base-spanish-wwm-uncased
dccuchile
0.0————

901–960 of 3077 models · select a column to sort

About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.