NousResearch/Hermes-2-Pro-Mistral-7B
Full fine-tune vs mistralai/Mistral-7B-v0.1. Fine-tune: 100% of the weights changed, across 32 of 32 layers.
Tensors changed: Norms 17/65, MLP 96/96, Attention 128/128
67 derivatives checked
- mradermacher/Hermes-2-Pro-Mistral-7B-i1-GGUF: Quantization
- backyardai/Hermes-2-Pro-Mistral-7B-GGUF: Same weights, converted
- mradermacher/Hermes-2-Pro-Mistral-7B-GGUF: Same weights, converted
- QuantFactory/Hermes2-Gutenberg2-Mistral-7B-GGUF: Full fine-tune
- QuantFactory/Hermes-2-Pro-Mistral-7B-GGUF: Quantization
- qwp4w3hyb/Hermes-2-Pro-Mistral-7B-iMat-GGUF: Quantization
- bartowski/LiberatedHermes-2-Pro-Mistral-7B-GGUF: Full fine-tune
- solidrust/Hermes-2-Pro-Mistral-7B-AWQ: Quantization
- arcee-ai/Hermes-2-Pro-WizardMath-7B-SLERP: Full fine-tune
- dozzke/hermorca: Full fine-tune
- nbeerbower/Hermes2-Gutenberg2-Mistral-7B: LoRA-style
- mattshumer/Hermes-2-Pro-11B: Partial fine-tune (fewer layers)
- 00000-X/Dolphin-2.6-FC_Hermes-2-Pro: Full fine-tune
- TeeZee/Buttocks-7B-v2.1: Full fine-tune
- kuhess/hermes-2-pro-mistral-7b-metropole: LoRA-style
- mergekit-community/mergekit-slerp-gmjabaw: Full fine-tune
- macadeliccc/LiberatedHermes-2-Pro-Mistral-7B: LoRA-style
- 00000-X/Nous-Hermes-2-Pro_into_Nous_Hermes-2-DPO: Full fine-tune
- mergekit-community/TopEvolution: Full fine-tune
- Kukedlc/NeuralKybalion-7B-slerp: Full fine-tune
- sshl505/Hermes_2_Pro_Mistral_7B_Counsellor: LoRA-style
- mergekit-community/mergekit-slerp-hfjular: Full fine-tune
- mergekit-community/mergekit-slerp-zvrdvfy: Full fine-tune
- mergekit-community/mergekit-slerp-hwgrlbs: Full fine-tune
- mergekit-community/mergekit-slerp-tejngyg: Full fine-tune
- 00000-X/Nous-Hermes-2-DPO_into_Nous_Hermes-2-Pro: Full fine-tune
- Kukedlc/SuperMente-7B-v2: Full fine-tune
- mergekit-community/mergekit-slerp-rfdxiqs: Full fine-tune
- mergekit-community/mergekit-slerp-aazqqhn: Full fine-tune
- mergekit-community/mergekit-slerp-mczwvqr: Full fine-tune
3 other repos hold byte-for-byte identical weight files.