HUGGING FACE MODEL INDEXSearch and compare Hugging Face models.
1,416,998 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
automatic-speech-recognition
kelvinbksoh/whisper-large-v2-vietnamese-lyrics-transcription is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,313♡ 4
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 1,312♡ 4
42.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Magistaroth-24B-v1-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.
↓ 1,312♡ 2
24.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Qwen3.5-4B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
↓ 1,312♡ 3
4.0B6 GB+ VRAMapache-2.0
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general AI
NeuML/gemma-4-tiny-random-litert-lm is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,312♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
et0dev/Qwen3.5-122B-A10B-NVFP4-FP8Dense-GB10 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 256 GB. It is publicly listed on Hugging Face.
↓ 1,312♡ 7
122.0B256 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/gemma-3-12b-it-vl-Gemini-3-Pro-Preview-Heretic-Uncensored-Thinking-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.
↓ 1,312♡ 2
12.0B12 GB+ VRAMapache-2.0
Deployment details →
text-generation
ahmetggg/luck-spark-l-100m-base is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,312♡ 1
Unknown8 GB+ VRAMmit
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general AI
mradermacher/Qwen3.5-21B-GLM-4.7-Flash-Heretic-Uncensored-Thinking-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 16 GB. It is publicly listed on Hugging Face.
↓ 1,311♡ 1
21.0B16 GB+ VRAMapache-2.0
Deployment details →
text-generation
mradermacher/Qwen3.5-9b-Opus-Openclaw-Distilled-i1-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,311♡ 2
9.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/grug-27b-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.
↓ 1,311♡ 2
27.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
bartowski/pszemraj_jamba-900M-v0.13-KIx2-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,310♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Mixtral-8x7B-Instruct-v0.1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,310♡ 2
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/aquif-3.5-Max-1205-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.
↓ 1,310♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Mistral-2x24B-MOE-Magistral-2506-Devstral-2507-1.1-Coder-Reasoning-Ultimate-44B-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 1,310♡ 1
44.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Qalb-1.0-8B-Instruct-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.
↓ 1,310♡ 0
8.0B8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Qwen3-Next-80B-A3B-Instruct-REAP-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 64 GB. It is publicly listed on Hugging Face.
↓ 1,310♡ 0
80.0B64 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Forgotten-Transgression-24B-v4.1-uncensored-heretic-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.
↓ 1,310♡ 1
24.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
JMingo/gemma-4-31B-it-uncensored-heretic-UD-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,310♡ 1
31.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
mlx-community/diffusiongemma-26B-A4B-it-4bit 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.
↓ 1,310♡ 35
26.0B24 GB+ VRAMapache-2.0
Deployment details →
automatic-speech-recognition
C1Tech/whisper_base_persian is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,310♡ 15
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation
mmiiguell10/Qwen3.8-27B-uncensored-mirror is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,310♡ 0
27.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
filvyb/Qwen3.8-27B-heretic-ara-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.
↓ 1,310♡ 0
27.0B24 GB+ VRAMapache-2.0
Deployment details →
sentence-similarity
Alibaba-NLP/gme-Qwen2-VL-7B-Instruct is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,309♡ 72
7.0B24 GB+ VRAMapache-2.0
Deployment details →