unsloth/gemma-4-E2B-it
Identical copy vs google/gemma-4-E2B-it. Byte-for-byte identical weight files: a re-upload.
22 derivatives checked
- dahara1/gemma-4-E2B-it-UD-japanese-imatrix: Quantization (fewer layers)
- Alienstro/Gemma4-E2B-Opus-4.6-Reasoning-3000-GGUF: LoRA-style (fewer layers)
- Shayde182/rhymeai-gemma-4-gguf: Not comparable yet
- BrainboxAI/law-il-E2B: Quantization (fewer layers)
- RedTeamLab/Gemma-4-E2B-Sol-Traces-v1: LoRA-style (fewer layers)
- adefiqri12/gemma4-indo-sentiment-lora: Adapter
- Cruxial/gemma4-E2B-recipe-vision-gguf: Full fine-tune (fewer layers)
- oytaub/hypnos-e2b-enfres-GGUF: Quantization (fewer layers)
- ermiaazarkhalili/Gemma4-E2B-SFT-Fable5-GGUF: Full fine-tune (fewer layers)
- seyuyo/diktalo-e2b-GGUF: Quantization (fewer layers)
- Nanite-Labs/nanites-medieval-e2b-chat-gguf: Full fine-tune (fewer layers)
- ermiaazarkhalili/Gemma4-E2B-SFT-Fable5-Glint-GGUF: Full fine-tune (fewer layers)
- naazimsnh02/voiceown-base-gguf: LoRA-style (fewer layers)
- norecyc/lastbox-gemma4-e2b-sft-v3: LoRA-style
- JeffGreen311/Eve-Gemma4-S0LF0RG3-Oracle-Q4-K-M: Full fine-tune (fewer layers)
- Nanite-Labs/nanites-medieval-e2b-chat: LoRA-style (fewer layers)
- theprint/Gemma4-LitLit-e2b: LoRA-style
- Banaxi-Tech/BananaMind-Translate-V3.5: Partial fine-tune
- Ba2han/gemma-e2b-TR-OCR: Partial fine-tune
- chimbiwide/Gemma4NPC-E2B: LoRA-style
- sanjaymalladi/DataSense-GPU-Full: LoRA-style
- dipta007/BartaLens-E2B: LoRA-style
99 other repos hold byte-for-byte identical weight files.