CludeMem E4b is an open-source language model by sebs-clude. Features: LLM, VRAM: 0.1GB, License: apache-2.0, LLM Explorer Score: 0.26.
| LLM Name | CludeMem E4b |
| Repository 🤗 | https://huggingface.co/sebs-clude/CludeMem-e4b |
| Base Model(s) | |
| Required VRAM | 0.1 GB |
| Updated | 2026-09-25 |
| Maintainer | sebs-clude |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | model.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 Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
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Downloads |
Likes |
|---|---|---|---|
| Lexsi Track3 Aya Lora | 0K / GB | 24 | 1 |
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| Cerberus E4B | 0K / 0.2 GB | 15 | 2 |
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| ...k V4.1 Flash 1017 Heretic Lora | 0K / 0 GB | 28 | 1 |
| Phishing Guard | 0K / 0 GB | 14 | 1 |
| GLM 5.3 Flash GM LoRA | 0K / 0.6 GB | 27 | 0 |