Compare models

Name: The Neural Net model register
Creator: The Neural Net
License: https://creativecommons.org/licenses/by/4.0/

Organisation, model, parameter count, architectural context length and licence, from the model register. Click a column heading to sort. Parameter counts are exact; context length is max_position_embeddings — the architectural maximum, not necessarily what a provider serves. A blank cell was not sourced and has not been guessed.

422 models·Register·CSV·JSON

What is in this table. Releases only — the same default view as the register. Displayed figures may be shortened; the CSV and JSON keep the exact numbers. A further 93 derivative records (quantisations and conversions) are in those downloads and not in this table.


01-ai	Yi-1.5-34B	34.4B	4K	apache-2.0
01-ai	Yi-1.5-34B-Chat	34.4B	4K	apache-2.0
01-ai	Yi-1.5-6B	6.1B	4K	apache-2.0
01-ai	Yi-1.5-9B	8.8B	4K	apache-2.0
01-ai	Yi-1.5-9B-Chat	8.8B	4K	apache-2.0
01-ai	Yi-1.5-9B-Chat-16K	8.8B	16K	apache-2.0
01-ai	Yi-34B	34.4B	4K	apache-2.0
01-ai	Yi-34B-200K	34.4B	195K	apache-2.0
01-ai	Yi-34B-Chat	34.4B	4K	apache-2.0
01-ai	Yi-6B	6.1B	4K	apache-2.0
01-ai	Yi-6B-200K	6.1B	195K	apache-2.0
01-ai	Yi-6B-Chat	6.1B	4K	apache-2.0
01-ai	Yi-Coder-9B-Chat	8.8B	128K	apache-2.0
akatz-ai	MiniMax-H3-Character-Swap-LoRA	—	—	other
Alissonerdx	BFS-Best-Face-Swap	—	—	mit
Alissonerdx	Minimax-H3-ComfyUI	—	—	other
allenai	AstaBrief_8B	—	40K	apache-2.0
allenai	longformer-base-4096	—	4K	apache-2.0
allenai	OLMo-2-0425-1B	1.5B	4K	apache-2.0
allenai	OLMo-2-1124-7B	7.3B	4K	apache-2.0
allenai	Olmo-3-1025-7B	7.3B	64K	apache-2.0
allenai	Olmo-3-7B-Instruct	7.3B	64K	apache-2.0
allenai	Olmo-3-7B-Think	7.3B	64K	apache-2.0
allenai	olmOCR-2-7B-1025	8.3B	125K	apache-2.0
allenai	olmOCR-7B-0225-preview	8.3B	32K	apache-2.0
allenai	OLMoE-1B-7B-0125-Instruct	6.9B	4K	apache-2.0
allenai	OLMoE-1B-7B-0924	6.9B	4K	apache-2.0
allenai	scibert_scivocab_uncased	—	512	—
allenai	specter2_base	—	512	apache-2.0
allenai	unifiedqa-t5-small	—	—	—
allenai	wildguard	7.2B	—	apache-2.0
amazon	ALoDLM-8B	8.2B	40K	cc-by-nc-4.0
amazon	bort	—	512	—
amazon	chronos-2	119M	—	apache-2.0
amazon	chronos-bolt-base	205M	—	apache-2.0
amazon	chronos-bolt-mini	21M	—	apache-2.0
amazon	chronos-bolt-small	48M	—	apache-2.0
amazon	chronos-bolt-tiny	9M	—	apache-2.0
amazon	chronos-t5-base	201M	—	apache-2.0
amazon	chronos-t5-large	709M	—	apache-2.0
amazon	chronos-t5-mini	20M	—	apache-2.0
amazon	chronos-t5-small	46M	—	apache-2.0
amazon	chronos-t5-tiny	8M	—	apache-2.0
amazon	GDN-primed-HQwen3-8B-Instruct	8.5B	128K	apache-2.0
amazon	GKA-primed-HQwen3-32B-Reasoner	34.1B	128K	apache-2.0
amazon	MistralLite	—	32K	apache-2.0
amazon	Titan-text-embeddings-v2	—	—	other
answerdotai	ModernBERT-base	150M	8K	apache-2.0
apple	aimv2-large-patch14-224-lit	437M	77	apple-amlr
apple	coreml-depth-anything-v2-small	—	—	apache-2.0
apple	DepthPro	—	—	apple-amlr
apple	DepthPro-hf	952M	—	apple-amlr
apple	DFN2B-CLIP-ViT-B-16	—	—	apple-amlr
apple	DFN2B-CLIP-ViT-L-14	—	77	apple-amlr
apple	DFN2B-CLIP-ViT-L-14-39B	—	77	apple-amlr
apple	DFN5B-CLIP-ViT-H-14	—	77	apple-amlr
apple	DFN5B-CLIP-ViT-H-14-378	—	77	apple-amlr
apple	FastVLM-0.5B	759M	32K	apple-amlr
apple	LensVLM-9B	9.4B	256K	apple-amlr
apple	MobileCLIP-S1-OpenCLIP	—	—	apple-amlr
apple	MobileCLIP-S2-OpenCLIP	—	—	apple-amlr
apple	mobilevit-small	—	—	other
apple	mobilevit-xx-small	—	—	other
apple	OpenELM-1_1B-Instruct	1.1B	—	apple-amlr
argmaxinc	whisperkit-coreml	—	—	mit
autogluon	chronos-2	119M	—	apache-2.0
autogluon	chronos-2-small	28M	—	apache-2.0
autogluon	chronos-bolt-small	48M	—	apache-2.0
autotrust	GEV-26B-Decide	25.8B	256K	apache-2.0
autotrust	JEV-27B-VL	27.8B	256K	apache-2.0
autotrust	JEV-35B	36.0B	256K	apache-2.0
autotrust	JEV-9B	9.0B	256K	apache-2.0
BAAI	bge-base-en-v1.5	109M	512	mit
BAAI	bge-large-en-v1.5	335M	512	mit
BAAI	bge-m3	—	8K	mit
BAAI	bge-reranker-base	278M	514	mit
BAAI	bge-reranker-v2-m3	568M	8K	apache-2.0
BAAI	bge-small-en-v1.5	33M	512	mit
BAAI	bge-small-zh-v1.5	24M	512	mit
baidu	ERNIE-4.5-0.3B-Base-PT	361M	128K	apache-2.0
baidu	ERNIE-4.5-0.3B-PT	361M	128K	apache-2.0
baidu	ERNIE-4.5-21B-A3B-PT	21.9B	128K	apache-2.0
baidu	ERNIE-4.5-21B-A3B-Thinking	21.8B	128K	apache-2.0
baidu	ERNIE-4.5-300B-A47B-PT	300.5B	128K	apache-2.0
baidu	ERNIE-4.5-VL-28B-A3B-PT	29.4B	128K	apache-2.0
baidu	ERNIE-4.5-VL-28B-A3B-Thinking	29.7B	128K	apache-2.0
baidu	ERNIE-4.5-VL-424B-A47B-Base-PT	423.5B	128K	apache-2.0
baidu	ERNIE-4.5-VL-424B-A47B-PT	423.5B	128K	apache-2.0
baidu	ERNIE-Image	8.0B	—	apache-2.0
baidu	ERNIE-Image-Turbo	8.0B	—	apache-2.0
baidu	Qianfan-OCR	4.7B	32K	apache-2.0
baidu	Unlimited-OCR	3.3B	32K	mit
bigcode	gpt_bigcode-santacoder	1.1B	—	openrail
bigcode	santacoder	—	—	bigcode-openrail-m
bigcode	santacoder-fast-inference	—	—	openrail
bigcode	starcoder	15.8B	—	bigcode-openrail-m
bigcode	starcoder2-15b	16.0B	16K	bigcode-openrail-m
bigcode	starcoder2-15b-instruct-v0.1	16.0B	16K	bigcode-openrail-m
bigcode	starcoder2-3b	3.0B	16K	bigcode-openrail-m
bigcode	starcoder2-7b	7.2B	16K	bigcode-openrail-m
bigcode	starcoderbase	—	—	bigcode-openrail-m
bigcode	starcoderbase-1b	1.1B	—	bigcode-openrail-m
bigcode	starcoderbase-7b	7.5B	—	bigcode-openrail-m
bigcode	starpii	—	—	—
bigcode	tiny_starcoder_py	164M	—	bigcode-openrail-m
Bingsu	adetailer	—	—	apache-2.0
black-forest-labs	flux-3-image-klein	5.5B	—	other
black-forest-labs	flux-3-image-klein-comfy	—	—	other
black-forest-labs	FLUX.1-dev	11.9B	—	other
Cactus-Compute	needle3	—	8K	apache-2.0
Comfy-Org	Krea-2	—	—	other
Comfy-Org	MiniMax-H3	—	—	other
Comfy-Org	MOSS-Image	—	—	apache-2.0
Comfy-Org	Qwen-Image-2.1	—	—	other
Comfy-Org	stable-diffusion-v1-5-archive	—	—	creativeml-openrail-m
Comfy-Org	Wan_2.1_ComfyUI_repackaged	—	—	apache-2.0
Comfy-Org	Wan_2.2_ComfyUI_Repackaged	—	—	apache-2.0
Comfy-Org	YuE2	—	—	cc-by-nc-4.0
Comfy-Org	z_image_turbo	—	—	apache-2.0
convaiinnovations	laya	421M	—	apache-2.0
ConwayResearch	Underdog-Saluki-27B-1.0	—	—	apache-2.0
coqui	XTTS-v2	—	—	other
cross-encoder	ms-marco-MiniLM-L4-v2	19M	512	apache-2.0
cross-encoder	ms-marco-MiniLM-L6-v2	23M	512	apache-2.0
datasocietyco	bge-base-en-v1.5-course-recommender-v5	109M	512	—
deepseek-ai	deepseek-coder-7b-instruct-v1.5	6.9B	4K	other
deepseek-ai	DeepSeek-Coder-V2-Lite-Instruct	15.7B	160K	other
deepseek-ai	DeepSeek-OCR	3.3B	8K	mit
deepseek-ai	DeepSeek-OCR-2	3.4B	8K	apache-2.0
deepseek-ai	DeepSeek-R1	684.5B	160K	mit
deepseek-ai	DeepSeek-R1-0528-Qwen3-8B	8.2B	128K	mit
deepseek-ai	DeepSeek-R1-Distill-Qwen-1.5B	1.8B	128K	mit
deepseek-ai	DeepSeek-V3	684.5B	160K	—
deepseek-ai	DeepSeek-V3-0324	684.5B	160K	mit
deepseek-ai	DeepSeek-V3.2	685.4B	160K	mit
deepseek-ai	DeepSeek-V4-Flash	290.9B	1M	mit
deepseek-ai	DeepSeek-V4-Flash-0731	304.2B	1M	mit
deepseek-ai	DeepSeek-V4-Flash-DSpark	165.3B	1M	mit
deepseek-ai	DeepSeek-V4-Flash-Vision-Exp	304.6B	1M	mit
deepseek-ai	DeepSeek-V4.1-Flash	763.2B	1M	mit
deepseek-ai	DeepSeek-V4.1-Flash-1017	763.2B	1M	mit
distilbert	distilbert-base-uncased	67M	512	apache-2.0
dphn	dolphin-2.9.1-yi-1.5-34b	34.4B	8K	apache-2.0
facebook	contriever	—	512	—
facebook	dinov3-vitl16-pretrain-lvd1689m	303M	—	other
facebook	esm2_t33_650M_UR50D	652M	1K	mit
facebook	opt-125m	—	2K	other
facebook	sam3	860M	—	other
facebook	sam3.1	—	—	other
FacebookAI	roberta-base	125M	514	mit
FacebookAI	roberta-large	355M	514	mit
FacebookAI	xlm-roberta-base	279M	514	mit
farbodtavakkoli	OTel-2.0-LLM-31B-IT	31.3B	256K	apache-2.0
fastino	GLiNER2.5-Decide	486M	512	apache-2.0
fastino	gliner2.5-multi-v1	287M	—	apache-2.0
google	electra-base-discriminator	—	512	apache-2.0
google	embeddinggemma-2	744M	256K	apache-2.0
google	embeddinggemma-300m	303M	—	gemma
google	gemma-3-1b-it	1000M	—	gemma
google	gemma-4-12B-it	12.0B	256K	apache-2.0
google	gemma-4-26B-A4B-it	25.8B	256K	apache-2.0
google	gemma-4-31B-it	31.3B	256K	apache-2.0
google	gemma-4-E2B-it	5.1B	128K	apache-2.0
google	gemma-4-E4B-it	8.0B	128K	apache-2.0
google	owlv2-base-patch16-ensemble	155M	—	apache-2.0
google	siglip-base-patch16-224	203M	—	apache-2.0
google	siglip2-base-patch16-224	375M	—	apache-2.0
google	siglip2-base-patch16-256	375M	—	apache-2.0
google	siglip2-giant-opt-patch16-384	1.9B	—	apache-2.0
google	vit-base-patch16-224	87M	—	apache-2.0
google-bert	bert-base-uncased	110M	512	apache-2.0
google-t5	t5-small	61M	—	apache-2.0
hexgrad	Kokoro-82M	—	512	apache-2.0
ibm-granite	granite-3.3-2b-instruct	2.5B	128K	apache-2.0
ibm-granite	granite-4.1-30b	28.9B	128K	apache-2.0
ibm-granite	granite-4.1-3b	3.4B	128K	apache-2.0
ibm-granite	granite-4.1-8b	8.8B	128K	apache-2.0
ibm-granite	granite-docling-258M	258M	8K	apache-2.0
ibm-granite	granite-embedding-311m-multilingual-r2	312M	32K	apache-2.0
ibm-granite	granite-embedding-small-english-r2	48M	8K	apache-2.0
ibm-granite	granite-speech-4.1-2b	2.3B	2K	apache-2.0
ibm-granite	granite-timeseries-patchtst-fm-r2	385M	—	openmdw-1.0
ibm-granite	granite-timeseries-tspulse-r1	1M	—	apache-2.0
ibm-granite	granite-timeseries-ttm-r2	805,280	—	apache-2.0
ibm-granite	granite-timeseries-ttm-r3	1M	—	apache-2.0
ibm-granite	granite-vision-3.3-2b	3.0B	128K	apache-2.0
ibm-granite	granite-vision-4.1-4b	4.0B	128K	apache-2.0
internlm	Atria-Dawn-Preview	753.3B	1M	mit
internlm	Intern-Decision-4B	4.5B	256K	apache-2.0
internlm	Intern-S1	240.7B	64K	apache-2.0
internlm	Intern-S1-mini	8.5B	64K	apache-2.0
internlm	internlm-chat-7b	—	2K	—
internlm	internlm-xcomposer2-vl-7b	—	32K	other
internlm	internlm2_5-7b-chat	7.7B	32K	other
internlm	internlm2-1_8b-reward	1.7B	32K	other
internlm	internlm2-20b	—	32K	other
internlm	internlm2-7b	—	32K	other
internlm	internlm2-base-20b	—	32K	other
internlm	internlm2-base-7b	—	32K	other
internlm	internlm2-chat-20b	19.9B	32K	other
internlm	internlm2-chat-7b	7.7B	32K	other
internlm	internlm3-8b-instruct	8.8B	32K	apache-2.0
intfloat	multilingual-e5-base	278M	514	mit
intfloat	multilingual-e5-large	560M	514	mit
intfloat	multilingual-e5-small	118M	512	mit
jialinyyzz	humanizer	12.0B	256K	apache-2.0
jonatasgrosman	wav2vec2-large-xlsr-53-japanese	—	—	apache-2.0
jonatasgrosman	wav2vec2-large-xlsr-53-portuguese	—	—	apache-2.0
jonatasgrosman	wav2vec2-large-xlsr-53-russian	—	—	apache-2.0
krea	Krea-2-Raw	12.8B	—	other
krea	Krea-2-Turbo	12.8B	—	other
laion	clap-htsat-fused	154M	514	apache-2.0
laion	CLIP-ViT-B-32-laion2B-s34B-b79K	151M	77	mit
Lightricks	LTX-2.5	—	—	other
lightx2v	Qwen-Image-2.1-Lightning	—	—	—
Mapika	decider-2b	1.9B	256K	apache-2.0
meta-llama	Llama-2-7b-chat-hf	6.7B	—	llama2
meta-llama	Llama-2-7b-hf	6.7B	—	llama2
meta-llama	Llama-3.1-8B	8.0B	—	llama3.1
meta-llama	Llama-3.1-8B-Instruct	8.0B	—	llama3.1
meta-llama	Llama-3.2-1B	1.2B	—	llama3.2
meta-llama	Llama-3.2-1B-Instruct	1.2B	—	llama3.2
meta-llama	Llama-3.2-3B	3.2B	—	llama3.2
meta-llama	Llama-3.2-3B-Instruct	3.2B	—	llama3.2
meta-llama	Llama-3.3-70B-Instruct	70.6B	—	llama3.3
meta-llama	Meta-Llama-3-8B-Instruct	8.0B	—	llama3
meta-llama	Prompt-Guard-86M	279M	—	llama3.1
microsoft	AesCode-8B	8.8B	256K	apache-2.0
microsoft	BiomedNLP-BiomedBERT-base-uncased-abstract	—	512	mit
microsoft	deberta-v3-base	—	512	mit
microsoft	deberta-v3-large	—	512	mit
microsoft	deberta-v3-small	—	512	mit
microsoft	Florence-2-base	232M	1K	mit
microsoft	FrogNano-4B-2609	4.7B	256K	mit
microsoft	layoutlmv3-base	125M	514	cc-by-nc-sa-4.0
microsoft	mdeberta-v3-base	—	512	mit
microsoft	Phi-3.5-vision-instruct	4.1B	128K	mit
microsoft	table-transformer-structure-recognition	29M	1K	mit
microsoft	tapex-base-finetuned-wikisql	—	1K	mit
microsoft	TRELLIS-image-large	—	—	mit
microsoft	TRELLIS.2-4B	—	—	mit
microsoft	VibeVoice-1.5B	2.7B	64K	mit
microsoft	VibeVoice-ASR	8.7B	128K	mit
microsoft	wavlm-large	—	—	—
MiniMaxAI	MiniMax-H3	33.1B	—	other
mistralai	Devstral-Small-2-24B-Instruct-2512	24.0B	384K	apache-2.0
mistralai	Ministral-3-14B-Instruct-2512	13.9B	256K	apache-2.0
mistralai	Mistral-7B-Instruct-v0.1	7.2B	32K	apache-2.0
mistralai	Mistral-7B-Instruct-v0.2	7.2B	32K	apache-2.0
mistralai	Mistral-7B-Instruct-v0.3	7.2B	32K	apache-2.0
mistralai	Mistral-7B-v0.1	7.2B	32K	apache-2.0
mistralai	Mistral-7B-v0.3	7.2B	32K	apache-2.0
mistralai	Mistral-Nemo-Instruct-2407	12.2B	128K	apache-2.0
mistralai	Mistral-Small-3.1-24B-Instruct-2503	24.0B	128K	apache-2.0
mistralai	Mistral-Small-3.2-24B-Instruct-2506	24.0B	128K	apache-2.0
mistralai	Mixtral-8x7B-Instruct-v0.1	46.7B	32K	apache-2.0
mistralai	Timestral-209M	209M	—	other
mistralai	Voxtral-Mini-3B-2507	4.7B	128K	apache-2.0
mistralai	Voxtral-Mini-4B-Realtime-2602	4.4B	1K	apache-2.0
moonshotai	Kimi-Audio-7B-Instruct	9.8B	8K	mit
moonshotai	Kimi-K2-Base	1.03T	128K	other
moonshotai	Kimi-K2-Instruct	1.03T	128K	other
moonshotai	Kimi-K2-Instruct-0905	1.03T	256K	other
moonshotai	Kimi-K2-Thinking	1.03T	256K	other
moonshotai	Kimi-K2.5	1.03T	256K	other
moonshotai	Kimi-K2.6	1.03T	256K	other
moonshotai	Kimi-K2.7-Code	1.03T	256K	other
moonshotai	Kimi-K3	2.78T	1M	other
moonshotai	Kimi-Linear-48B-A3B-Base	49.1B	—	mit
moonshotai	Kimi-Linear-48B-A3B-Instruct	49.1B	—	mit
moonshotai	Kimi-VL-A3B-Instruct	16.4B	128K	mit
moonshotai	Kimi-VL-A3B-Thinking	16.4B	128K	mit
moonshotai	Moonlight-16B-A3B	16.0B	8K	mit
moonshotai	Moonlight-16B-A3B-Instruct	16.0B	8K	mit
nerkyor	Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2	—	—	apache-2.0
nomic-ai	nomic-embed-text-v1.5	137M	2K	apache-2.0
nvidia	bigvgan_v2_22khz_80band_256x	—	—	mit
nvidia	bigvgan_v2_44khz_128band_512x	—	—	mit
nvidia	Cosmos3-Edge	3.9B	128K	other
nvidia	dragon-multiturn-context-encoder	—	512	other
nvidia	dragon-multiturn-query-encoder	—	512	other
nvidia	GLM-5.3-Flash-FP4-Local	175.2B	1M	other
nvidia	Kumo-Tabular	—	—	openmdw-1.1
nvidia	llama-nemotron-rerank-1b-v2	1.2B	128K	other
nvidia	Nemotron-3-Diarization	99M	5K	openmdw-1.1
nvidia	nemotron-3.5-asr-streaming-0.6b	638M	5K	other
nvidia	NVIDIA-Nemotron-3-Nano-30B-A3B-BF16	31.6B	256K	other
nvidia	NVIDIA-Nemotron-3-Nano-4B-BF16	4.0B	256K	other
nvidia	NVIDIA-Nemotron-3-Super-120B-A12B-BF16	123.6B	256K	other
nvidia	NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16	560.5B	256K	other
nvidia	NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB	22.4B	256K	other
nvidia	NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16	124.5B	1M	other
nvidia	NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16	4.0B	256K	other
nvidia	PixelUMM	—	—	other
nvidia	Qwen3.8-Flash-Next-FP4-Local	96.5B	256K	other
openai	clip-vit-base-patch16	—	77	—
openai	clip-vit-base-patch32	—	77	—
openai	clip-vit-large-patch14	428M	77	—
openai	clip-vit-large-patch14-336	—	77	—
openai	gpt-oss-120b	116.8B	128K	apache-2.0
openai	gpt-oss-20b	20.9B	128K	apache-2.0
openai	privacy-filter	1.4B	128K	apache-2.0
openai	whisper-base	73M	—	apache-2.0
openai	whisper-large-v3	1.5B	—	apache-2.0
openai	whisper-large-v3-turbo	809M	—	mit
openai	whisper-medium	764M	—	apache-2.0
openai	whisper-small	242M	—	apache-2.0
openai	whisper-tiny	38M	—	apache-2.0
openai-community	gpt2	137M	—	mit
openbmb	MiniCPM-o-2_6	8.7B	32K	apache-2.0
openbmb	MiniCPM-o-4_5	9.4B	40K	apache-2.0
openbmb	MiniCPM-V-4_5	8.7B	40K	apache-2.0
openbmb	MiniCPM-V-4.6	1.3B	256K	apache-2.0
openbmb	MiniCPM-V-4.6-Thinking	1.3B	256K	apache-2.0
openbmb	MiniCPM-V-4.7-1B	1.6B	256K	apache-2.0
openbmb	MiniCPM-V-4.7-35B-A3B	35.2B	256K	apache-2.0
openbmb	MiniCPM5-1B	1.1B	128K	apache-2.0
openbmb	MiniCPM5-2B	2.5B	128K	apache-2.0
openbmb	MiniCPM5-2B-DSpark	324M	128K	apache-2.0
openbmb	VoxCPM2	2.3B	32K	apache-2.0
prithivMLmods	Gender-Classifier-Mini	93M	64	apache-2.0
ProsusAI	finbert	109M	512	cc-by-nc-sa-4.0
PrunaAI	Pruna-Qwen-Image-2.1	—	—	other
pyannote	segmentation-3.0	—	—	mit
pyannote	speaker-diarization-3.1	—	—	mit
pyannote	speaker-diarization-community-1	—	—	cc-by-4.0
pyannote	wespeaker-voxceleb-resnet34-LM	—	—	cc-by-4.0
Qwen	Qwen-Image-2.1	7.1B	—	other
Qwen	Qwen-Image-2.1-Turbo	7.1B	—	other
Qwen	Qwen2.5-0.5B-Instruct	494M	32K	apache-2.0
Qwen	Qwen2.5-1.5B-Instruct	1.5B	32K	apache-2.0
Qwen	Qwen2.5-3B-Instruct	3.1B	32K	other
Qwen	Qwen2.5-7B-Instruct	7.6B	32K	apache-2.0
Qwen	Qwen2.5-VL-7B-Instruct	8.3B	125K	apache-2.0
Qwen	Qwen3-0.6B	752M	40K	apache-2.0
Qwen	Qwen3-1.7B	2.0B	40K	apache-2.0
Qwen	Qwen3-14B	14.8B	40K	apache-2.0
Qwen	Qwen3-32B	32.8B	40K	apache-2.0
Qwen	Qwen3-4B	4.0B	40K	apache-2.0
Qwen	Qwen3-8B	8.2B	40K	apache-2.0
Qwen	Qwen3-Embedding-0.6B	596M	32K	apache-2.0
Qwen	Qwen3-TTS-12Hz-1.7B-CustomVoice	1.9B	32K	apache-2.0
Qwen	Qwen3-VL-8B-Instruct	8.8B	256K	apache-2.0
Qwen	Qwen3.5-2B	2.3B	256K	apache-2.0
Qwen	Qwen3.5-4B	4.7B	256K	apache-2.0
Qwen	Qwen3.5-9B	9.7B	256K	apache-2.0
Qwen	Qwen3.8-27B	27.8B	256K	apache-2.0
Qwen	Qwen3.8-Flash-Next	180.0B	256K	other
RadixArk	Kimi-K3-DSpark	2.2B	1M	—
SamLowe	roberta-base-go_emotions	125M	514	mit
sentence-transformers	all-MiniLM-L6-v2	23M	512	apache-2.0
sentence-transformers	all-mpnet-base-v2	109M	514	apache-2.0
sentence-transformers	paraphrase-multilingual-MiniLM-L12-v2	118M	512	apache-2.0
sentence-transformers	paraphrase-multilingual-mpnet-base-v2	278M	514	apache-2.0
stabilityai	sd-turbo	866M	—	—
stabilityai	sd-vae-ft-mse	84M	—	mit
stabilityai	sdxl-turbo	2.6B	—	other
stabilityai	sdxl-vae	84M	—	mit
stabilityai	stable-audio-3-medium	2.3B	—	other
stabilityai	stable-diffusion-3-medium-diffusers	2.1B	—	other
stabilityai	stable-diffusion-3.5-large	8.1B	—	other
stabilityai	stable-diffusion-3.5-medium	2.5B	—	other
stabilityai	stable-diffusion-xl-base-1.0	2.6B	—	openrail++
stabilityai	stable-diffusion-xl-refiner-1.0	2.3B	—	openrail++
stabilityai	stable-fast-3d	1.0B	—	other
stabilityai	stable-video-diffusion-img2vid	1.5B	—	other
stabilityai	stable-video-diffusion-img2vid-xt	1.5B	—	other
stabilityai	TripoSR	—	—	mit
SulphurAI	Sulphur-2-base	—	—	—
Systran	faster-whisper-small	—	—	mit
tencent	AuK	—	—	mit
tencent	Hunyuan-7B-Instruct	7.5B	32K	—
tencent	Hunyuan-A13B-Instruct	80.4B	32K	other
tencent	Hunyuan3D-2	—	—	other
tencent	Hunyuan3D-2.1	—	—	other
tencent	Hunyuan3D-2mini	—	—	other
tencent	HunyuanImage-3.0-Instruct	83.0B	22K	other
tencent	HunyuanOCR	1.1B	128K	other
tencent	Hy-Memory-30B-A3B	30.1B	256K	apache-2.0
tencent	Hy-MT2-1.8B	2.0B	256K	apache-2.0
tencent	Hy3	298.8B	256K	apache-2.0
tencent	Hy3-preview	298.8B	256K	other
tencent	Youtu-Parsing-Omni	5.3B	1M	other
tiiuae	falcon-7b	7.2B	—	apache-2.0
tiiuae	falcon-7b-instruct	7.2B	—	apache-2.0
tiiuae	Falcon-H1-0.5B-Base	521M	16K	other
tiiuae	Falcon-H1-1.5B-Base	1.6B	128K	other
tiiuae	Falcon-H1-1.5B-Deep-Instruct	1.6B	128K	other
tiiuae	Falcon-H1-3B-Instruct	3.1B	128K	other
tiiuae	Falcon-H1-7B-Instruct	7.6B	256K	other
tiiuae	falcon-mamba-7b	7.3B	—	other
tiiuae	falcon-mamba-7b-instruct	7.3B	—	other
tiiuae	falcon-mamba-tiny-dev	9M	—	—
tiiuae	Falcon-Perception	632M	—	apache-2.0
tiiuae	Falcon3-10B-Instruct	10.3B	32K	other
tiiuae	Falcon3-1B-Instruct	1.7B	8K	other
tiiuae	Falcon3-3B-Instruct	3.2B	32K	other
tiiuae	Falcon3-7B-Instruct	7.5B	32K	other
timm	mobilenetv3_small_100.lamb_in1k	3M	—	apache-2.0
trl-internal-testing	tiny-Qwen2ForCausalLM-2.5	2M	32K	—
Viggle	Qwen-Image-2.1-viggle-turbo	7.1B	—	other
WarmBloodAban	Minimax-h3_Singularity	—	—	apache-2.0
xai-org	grok-1	—	—	apache-2.0
xai-org	grok-2	—	128K	—
Xenova	all-MiniLM-L6-v2	—	512	apache-2.0
XiaomiMiMo	MiMo-V2.6-Flash-RL	310.8B	1M	mit
XiaomiMiMo	MiMo-V2.6-Pro-RL	1.02T	1M	mit
XingChen-AGI	Xing4.0-29B-A4B	31.2B	256K	apache-2.0
zai-org	chatglm2-6b	—	—	—
zai-org	glm-4-9b-chat	9.4B	—	other
zai-org	GLM-4.1V-9B-Thinking	10.3B	64K	mit
zai-org	GLM-4.5	358.3B	128K	mit
zai-org	GLM-4.5-Air	110.5B	128K	mit
zai-org	GLM-4.7	358.3B	198K	mit
zai-org	GLM-4.7-Flash	31.2B	198K	mit
zai-org	GLM-5	753.9B	198K	mit
zai-org	GLM-5.1	753.9B	198K	mit
zai-org	GLM-5.2	753.3B	1M	mit
zai-org	GLM-5.3	753.3B	1M	other
zai-org	GLM-5.3-Flash	321.3B	1M	mit
zai-org	GLM-5.3-Flash-BF16	321.3B	1M	mit
zai-org	GLM-OCR	1.3B	128K	mit

Cite this dataset

The register is published under CC BY 4.0. Attribution to The Neural Net.

APA

The Neural Net. (2026). The Neural Net model register [Data set]. https://theneuralnet.com/models

BibTeX

@misc{theneuralnet_model_register,
  title  = {The Neural Net model register},
  author = {{The Neural Net}},
  year   = {2026},
  url    = {https://theneuralnet.com/models},
  note   = {CC BY 4.0}
}

HTML

<a href="https://theneuralnet.com/models">The Neural Net model register</a>