LLM EXPLORER 62,155 MODELS INDEXED

CludeMem E4b by sebs-clude

By sebs-clude · 93 downloads
HF Repo ↗ Copy URL

CludeMem E4b is an open-source language model by sebs-clude. Features: LLM, VRAM: 0.1GB, License: apache-2.0, LLM Explorer Score: 0.32.

  Adapter   Agent-memory   Contradiction-detection   Conversational   En   Endpoints compatible   Finetuned   Gemma4   Gguf   Json   Lora   Memory   Mlx   Model-index   Ollama   Peft   Region:us   Safetensors   Structured-output
Model Card on HF 🤗: https://huggingface.co/sebs-clude/CludeMem-e4b 

CludeMem E4b Parameters and Internals

LLM NameCludeMem E4b
Repository 🤗https://huggingface.co/sebs-clude/CludeMem-e4b 
Base Model(s)  google/gemma-4-e4b-it   google/gemma-4-e4b-it
Required VRAM0.1 GB
Updated2026-09-25
Maintainersebs-clude
Model Files  0.1 GB
Supported Languagesen
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesmodel.language_model.layers.9.mlp.gate_proj|model.language_model.layers.13.mlp.up_proj|model.language_model.layers.41.mlp.up_proj|model.language_model.layers.34.mlp.down_proj|model.language_model.layers.20.mlp.down_proj|model.language_model.layers.23.mlp.down_proj|model.language_model.layers.35.mlp.up_proj|model.language_model.layers.3.mlp.gate_proj|model.language_model.layers.2.mlp.up_proj|model.language_model.layers.22.mlp.down_proj|model.language_model.layers.29.mlp.gate_proj|model.language_model.layers.5.mlp.down_proj|model.language_model.layers.1.mlp.down_proj|model.language_model.layers.36.mlp.down_proj|model.language_model.layers.40.mlp.gate_proj|model.language_model.layers.33.mlp.gate_proj|model.language_model.layers.38.mlp.gate_proj|model.language_model.layers.12.mlp.down_proj|model.language_model.layers.14.mlp.up_proj|model.language_model.layers.27.mlp.down_proj|model.language_model.layers.3.mlp.up_proj|model.language_model.layers.40.mlp.up_proj|model.language_model.layers.41.mlp.gate_proj|model.language_model.layers.7.mlp.gate_proj|model.language_model.layers.30.mlp.up_proj|model.language_model.layers.32.mlp.up_proj|model.language_model.layers.0.mlp.up_proj|model.language_model.layers.8.mlp.gate_proj|model.language_model.layers.4.mlp.down_proj|model.language_model.layers.21.mlp.gate_proj|model.language_model.layers.23.mlp.up_proj|model.language_model.layers.16.mlp.down_proj|model.language_model.layers.21.mlp.up_proj|model.language_model.layers.3.mlp.down_proj|model.language_model.layers.24.mlp.up_proj|model.language_model.layers.7.mlp.up_proj|model.language_model.layers.26.mlp.down_proj|model.language_model.layers.9.mlp.down_proj|model.language_model.layers.30.mlp.down_proj|model.language_model.layers.19.mlp.up_proj|model.language_model.layers.6.mlp.up_proj|model.language_model.layers.17.mlp.up_proj|model.language_model.layers.37.mlp.up_proj|model.language_model.layers.18.mlp.down_proj|model.language_model.layers.38.mlp.up_proj|model.language_model.layers.29.mlp.up_proj|model.language_model.layers.25.mlp.up_proj|model.language_model.layers.2.mlp.down_proj|model.language_model.layers.30.mlp.gate_proj|model.language_model.layers.31.mlp.down_proj|model.language_model.layers.10.mlp.gate_proj|model.language_model.layers.5.mlp.gate_proj|model.language_model.layers.8.mlp.down_proj|model.language_model.layers.11.mlp.down_proj|model.language_model.layers.19.mlp.down_proj|model.language_model.layers.18.mlp.up_proj|model.language_model.layers.17.mlp.down_proj|model.language_model.layers.32.mlp.gate_proj|model.language_model.layers.29.mlp.down_proj|model.language_model.layers.37.mlp.down_proj|model.language_model.layers.20.mlp.up_proj|model.language_model.layers.14.mlp.gate_proj|model.language_model.layers.12.mlp.gate_proj|model.language_model.layers.15.mlp.down_proj|model.language_model.layers.27.mlp.up_proj|model.language_model.layers.15.mlp.up_proj|model.language_model.layers.26.mlp.up_proj|model.language_model.layers.41.mlp.down_proj|model.language_model.layers.7.mlp.down_proj|model.language_model.layers.14.mlp.down_proj|model.language_model.layers.21.mlp.down_proj|model.language_model.layers.0.mlp.down_proj|model.language_model.layers.2.mlp.gate_proj|model.language_model.layers.15.mlp.gate_proj|model.language_model.layers.23.mlp.gate_proj|model.language_model.layers.1.mlp.up_proj|model.language_model.layers.22.mlp.gate_proj|model.language_model.layers.40.mlp.down_proj|model.language_model.layers.16.mlp.up_proj|model.language_model.layers.28.mlp.up_proj|model.language_model.layers.28.mlp.gate_proj|model.language_model.layers.39.mlp.up_proj|model.language_model.layers.34.mlp.up_proj|model.language_model.layers.18.mlp.gate_proj|model.language_model.layers.12.mlp.up_proj|model.language_model.layers.5.mlp.up_proj|model.language_model.layers.36.mlp.up_proj|model.language_model.layers.37.mlp.gate_proj|model.language_model.layers.35.mlp.down_proj|model.language_model.layers.22.mlp.up_proj|model.language_model.layers.36.mlp.gate_proj|model.language_model.layers.24.mlp.down_proj|model.language_model.layers.8.mlp.up_proj|model.language_model.layers.35.mlp.gate_proj|model.language_model.layers.11.mlp.gate_proj|model.language_model.layers.24.mlp.gate_proj|model.language_model.layers.6.mlp.down_proj|model.language_model.layers.4.mlp.up_proj|model.language_model.layers.31.mlp.up_proj|model.language_model.layers.19.mlp.gate_proj|model.language_model.layers.33.mlp.down_proj|model.language_model.layers.33.mlp.up_proj|model.language_model.layers.1.mlp.gate_proj|model.language_model.layers.27.mlp.gate_proj|model.language_model.layers.38.mlp.down_proj|model.language_model.layers.17.mlp.gate_proj|model.language_model.layers.13.mlp.gate_proj|model.language_model.layers.11.mlp.up_proj|model.language_model.layers.25.mlp.down_proj|model.language_model.layers.10.mlp.down_proj|model.language_model.layers.31.mlp.gate_proj|model.language_model.layers.39.mlp.down_proj|model.language_model.layers.16.mlp.gate_proj|model.language_model.layers.20.mlp.gate_proj|model.language_model.layers.26.mlp.gate_proj|model.language_model.layers.32.mlp.down_proj|model.language_model.layers.0.mlp.gate_proj|model.language_model.layers.9.mlp.up_proj|model.language_model.layers.28.mlp.down_proj|model.language_model.layers.34.mlp.gate_proj|model.language_model.layers.4.mlp.gate_proj|model.language_model.layers.13.mlp.down_proj|model.language_model.layers.6.mlp.gate_proj|model.language_model.layers.10.mlp.up_proj|model.language_model.layers.25.mlp.gate_proj|model.language_model.layers.39.mlp.gate_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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