CoolFace
15 results

MiniCPM5-2B

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Models

All models matching “MiniCPM5-2B”
openbmb /MiniCPM5-2Btext-generationtransformersen1.7k likes666k downloads14d agoHugging Faceopenbmb /MiniCPM5-2B-DSparktext-generationtransformersen42 likes468k downloads20d agoHugging Faceopenbmb /MiniCPM5-2B-GGUFtext-generationtransformersen327 likes221k downloads14d agoHugging Faceopenbmb /MiniCPM5-2B-MLXtext-generationtransformersen51 likes162k downloads14d agoHugging FaceAbiray /MiniCPM5-2B-heretic-abliterated-GGUFtext-generationggufen32 likes22k downloads18d agoHugging Facebartowski /MiniCPM5-2B-GGUFtext-generationen34 likes20k downloads16d agoHugging Facemondk /MiniCPM5-2B-Abliterated-Uncensored-GGUFtext-generationen16 likes17k downloads16d agoHugging FaceNANI-Nithin /MiniCPM5-2B-GGUFtext-generationen8 likes15k downloads18d agoHugging Face

Datasets

All datasets matching “MiniCPM5-2B”
wepiqx /minicpm5-2b-damage-labels MiniCPM5-2B Damage Labels (MERNIK teacher) Per-group measured quantization damage for MiniCPM5-2B (dense 2.6B, 42 layers). What damage_minicpm5_2b.jsonl — 169 rows: 1 BASELINE + 168 tied-group units. Each unit row: the group dropped Q5_K → Q3_K while everything else stays at Q5_K, scored by wikitext-2 PPL (-c 1024 -n 64 --seed 7). {"unit": "ffn_down@7", "tensors": ["blk.7.ffn_down.weight"], "ppl": 13.5364, "damage": 0.1732} ssim_minicpm.npz — measured structural… See the full description on the dataset page: https://huggingface.co/datasets/wepiqx/minicpm5-2b-damage-labels.tabularn<1K0 likes82 downloads7d agoHugging Face

Apps

All apps matching “MiniCPM5-2B”
openbmb /MiniCPM5-2B-Demogradio69 likes18d agoHugging FaceProCreations /minicpm5-2b-webgpustatic8 likes15d agoHugging FaceF-Labs /minicpm5-2b-hadamard-gsq-demogradio0 likes14d agoHugging Faceluispoveda93 /minicpm5-2b-catalan-chat-v2-trackiogradio0 likes16d agoHugging Facevictor /MiniCPM5-2B-WebGPU-Pistatic99 likes10d agoHugging Facewambugu71 /MiniCPM5-2B-Demogradio0 likes18d agoHugging Face