HUGGING FACE MODEL INDEXSearch and compare Hugging Face models.
855,059 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
text-generation
esatapedico/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NVFP4-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 2,135♡ 4
27.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
Chungulus/Qwen3.8-27B-GPTQ-INT4-G32 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 2,133♡ 3
27.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/AmberChat-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,132♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
feature-extraction
codefuse-ai/F2LLM-v2-160M is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 2,132♡ 5
Unknown4 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Slimaki-Tavern-24B-v1.3-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 2,131♡ 4
24.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
oki0ki/gpt-oss-120b-awq-w4a16 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 256 GB. It is publicly listed on Hugging Face.
↓ 2,130♡ 2
120.0B256 GB+ VRAMapache-2.0
Deployment details →
zero-shot-image-classification
zeromodels/siglip2_base_p16_384 is a zero shot image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,130♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
agentscope-ai/QwenPaw-Flash-9B-Q4_K_M is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,129♡ 9
9.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
ReadyArt/Dark-Scarlett-v1.0-35B-A3B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 2,129♡ 10
35.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Shadow-Siren-26B-A4B-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 2,129♡ 4
26.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
koshuro/Llama-3B-Coder is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 2,129♡ 1
3.0B4 GB+ VRAMmit
Deployment details →
text-generation
r1r21nb/qwen2.5-3b-instruct.Q4_K_M.gguf is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 2,126♡ 9
3.0B4 GB+ VRAMmit
Deployment details →
text-generation
NANI-Nithin/Nanbeige4.2-3B-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 2,126♡ 0
3.0B4 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
unsloth/Qwen3.5-2B-Base is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,125♡ 11
2.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation
techwithsergiu/Qwen3.5-text-4B-bnb-4bit is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
↓ 2,125♡ 2
4.0B6 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
prithivMLmods/Qwen3-VL-4B-Instruct-Unredacted-MAX is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 2,124♡ 20
4.0B12 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
bartowski/Altworld_Astrea-R8-Chat-9B-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,124♡ 1
9.0B8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
Davidmg0815/Qwen3.8-27B-MTP-GGUF is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 2,124♡ 1
27.0B24 GB+ VRAMapache-2.0
Deployment details →
image-classification
zeromodels/vit_large_patch16_224_augreg_in21k_ft_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,124♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation
mbakgun/Qwen2.5-Coder-14B-n8n-Workflow-Generator is a text generation model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 2,122♡ 21
14.0B12 GB+ VRAMapache-2.0
Deployment details →
text-generation
nitrai-research/Moderato-V1-Pro is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,122♡ 5
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation
unsloth/GLM-4.7-Flash-NVFP4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,120♡ 13
Unknown8 GB+ VRAMmit
Deployment details →
text-generation
mradermacher/Shruti-Soft-2.6b-i1-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 2,120♡ 0
2.6B4 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Ministral-3-14B-Instruct-2512-absolute-heresy-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 2,119♡ 7
14.0B12 GB+ VRAMapache-2.0
Deployment details →