general AI
tiyuvta/memra-bench
tiyuvta/memra-bench is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,558♡ 3
Unknown8 GB+ VRAMmit
Deployment details →
Search and compare Hugging Face models.
1,005,046 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
text-generation
llmfan46/Ornith-1.0-35B-uncensored-heretic
llmfan46/Ornith-1.0-35B-uncensored-heretic is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
↓ 1,557♡ 17
35.0B80 GB+ VRAMmit
Deployment details →
general AI
mradermacher/gpt-oss-20b-DAG-Reasoning-i1-GGUF
mradermacher/gpt-oss-20b-DAG-Reasoning-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.
↓ 1,556♡ 1
20.0B16 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/apollo-astralis-4b-i1-GGUF
mradermacher/apollo-astralis-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.
↓ 1,556♡ 2
4.0B6 GB+ VRAMapache-2.0
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general AI
mradermacher/Qwen3.5-40B-RoughHouse-Claude-4.6-Opus-Polar-Deckard-Uncensored-Heretic-Thinking-i1-GGUF
mradermacher/Qwen3.5-40B-RoughHouse-Claude-4.6-Opus-Polar-Deckard-Uncensored-Heretic-Thinking-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.
↓ 1,556♡ 3
40.0B32 GB+ VRAMapache-2.0
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general AI
mradermacher/Qwen3.6-35B-A3B-i1-GGUF
mradermacher/Qwen3.6-35B-A3B-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.
↓ 1,556♡ 5
35.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/MN-12B-RP-Ink-Longform-MPOA-i1-GGUF
mradermacher/MN-12B-RP-Ink-Longform-MPOA-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.
↓ 1,555♡ 1
12.0B12 GB+ VRAMapache-2.0
Deployment details →
text-generation
malvavisc0/Qwen3.8-9B-gptq-int4
malvavisc0/Qwen3.8-9B-gptq-int4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,555♡ 0
9.0B8 GB+ VRAMapache-2.0
Deployment details →
text-generation
kiel2/KielMind-Lite
kiel2/KielMind-Lite is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,555♡ 1
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-generation
lukaskremla/Qwen3.8-27B-4bit-MLX-TextOnly
lukaskremla/Qwen3.8-27B-4bit-MLX-TextOnly is a text generation model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 1,555♡ 2
27.0B24 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Huihui-gemma-4-E2B-it-abliterated-v2-GGUF
mradermacher/Huihui-gemma-4-E2B-it-abliterated-v2-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,553♡ 2
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
dancinlab/Qwen3.8-27B-Uncensored-GGUF
dancinlab/Qwen3.8-27B-Uncensored-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.
↓ 1,553♡ 0
27.0B24 GB+ VRAMapache-2.0
Deployment details →
image-text-to-text
krampenschiesser/Qwen3.5-35B-A3B-NVFP4.gguf
krampenschiesser/Qwen3.5-35B-A3B-NVFP4.gguf is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 1,552♡ 2
35.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Scarlet-Shadow-31B-i1-GGUF
mradermacher/Scarlet-Shadow-31B-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.
↓ 1,552♡ 0
31.0B24 GB+ VRAMapache-2.0
Deployment details →
text-generation
mradermacher/Qwen3.6-35B-A3B-Abliterated-Heretic-BF16-i1-GGUF
mradermacher/Qwen3.6-35B-A3B-Abliterated-Heretic-BF16-i1-GGUF is a text generation model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 1,551♡ 3
35.0B32 GB+ VRAMapache-2.0
Deployment details →
text-generation
saidutta69/DeepSeek-R1-Distill-Qwen-1.5B-heretic
saidutta69/DeepSeek-R1-Distill-Qwen-1.5B-heretic is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 1,551♡ 0
1.5B4 GB+ VRAMmit
Deployment details →
image-text-to-text
Atomic-Germ/Darwin-36B-Opus-NPU2
Atomic-Germ/Darwin-36B-Opus-NPU2 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 32 GB. It is publicly listed on Hugging Face.
↓ 1,551♡ 5
36.0B32 GB+ VRAMapache-2.0
Deployment details →
general AI
reaperdoesntknow/DualMind-GGUF
reaperdoesntknow/DualMind-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,551♡ 0
Unknown8 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Qwen2.5-Microsoft-NextCoder-Olympic-Instruct-FUSED-CODER-Fast-11B-i1-GGUF
mradermacher/Qwen2.5-Microsoft-NextCoder-Olympic-Instruct-FUSED-CODER-Fast-11B-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.
↓ 1,550♡ 0
11.0B12 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Qwen3.5-0.8B-Base-i1-GGUF
mradermacher/Qwen3.5-0.8B-Base-i1-GGUF is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 1,550♡ 0
800M4 GB+ VRAMapache-2.0
Deployment details →
text-generation
nex-agi/Nex-N2-mini
nex-agi/Nex-N2-mini is a text generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,550♡ 306
Unknown8 GB+ VRAMapache-2.0
Deployment details →
feature-extraction
cstr/multilingual-e5-small-GGUF
cstr/multilingual-e5-small-GGUF is a feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 1,549♡ 0
Unknown4 GB+ VRAMmit
Deployment details →
text-generation
kshitijthakkar/loggenix-moe-0.4B-0.2A-sft-s4
kshitijthakkar/loggenix-moe-0.4B-0.2A-sft-s4 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 1,549♡ 1
400M4 GB+ VRAMapache-2.0
Deployment details →
general AI
mradermacher/Hermes-4.3-36B-heretic-i1-GGUF
mradermacher/Hermes-4.3-36B-heretic-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.
↓ 1,548♡ 3
36.0B32 GB+ VRAMapache-2.0
Deployment details →