LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct
17 derivatives checked
- lmstudio-community/EXAONE-3.5-2.4B-Instruct-GGUF: Quantization
- LGAI-EXAONE/EXAONE-Deep-2.4B: Full fine-tune
- bartowski/EXAONE-3.5-2.4B-Instruct-GGUF: Same weights, converted
- Mungert/EXAONE-Deep-2.4B-GGUF: Full fine-tune
- mobilint/EXAONE-3.5-2.4B-Instruct: Full fine-tune (fewer layers)
- second-state/EXAONE-3.5-2.4B-Instruct-GGUF: Same weights, converted
- QuantFactory/EXAONE-Deep-2.4B-GGUF: Full fine-tune
- mobilint/EXAONE-3.5-2.4B-Instruct-Batch16: Full fine-tune (fewer layers)
- mobilint/EXAONE-3.5-2.4B-Instruct-regulus-rb-usb: Full fine-tune (fewer layers)
- DevQuasar-8/LGAI-EXAONE.EXAONE-3.5-2.4B-Instruct-GGUF: Same weights, converted
- tensorblock/EXAONE-3.5-2.4B-Instruct-GGUF: Quantization
- MaziyarPanahi/EXAONE-3.5-2.4B-Instruct-GGUF: Same weights, converted
- gaianet/EXAONE-3.5-2.4B-Instruct-GGUF: Same weights, converted
- mobilint/EXAONE-3.5-2.4B-Instruct-GGUF: Quantization
- lunahr/thea-pro-2b-100r: LoRA-style
- huggingface-KREW/EXAGIRL-2.4B-Instruct: LoRA-style
- mindw96/exaone-3.5-2.4b-instruct-DACON-LLM: Full fine-tune
2 other repos hold byte-for-byte identical weight files.