--- base_model: - Nohobby/L3.3-Prikol-70B-EXTRA - Sao10K/Llama-3.3-70B-Vulpecula-r1 - Steelskull/L3.3-Electra-R1-70b library_name: transformers tags: - mergekit - merge --- # ElectraEXTRA Like [Electranova](https://huggingface.co/sophosympatheia/Electranova-70B-v1.0) but with a different model, so the thinking works better in it. The writing quality is also better imo. **Settings:** Samplers: With thinking: Temp 1.05, top nsigma 0.7; w/o: Temp 1.15, top nsigma 0.7, minP 0.02, smoothing factor 0.3, smoothing curve 2 Sys. prompt: LeCeption or the one from [here](https://files.catbox.moe/b6nwbc.json) **Quants** Static: https://huggingface.co/mradermacher/L3.3-ElectraEXTRA-R1-70b-GGUF Weighted/imatrix: https://huggingface.co/mradermacher/L3.3-ElectraEXTRA-R1-70b-i1-GGUF ## Merge Details ### Merge Method This model was merged using the [SCE](https://arxiv.org/abs/2408.07990) merge method using [Steelskull/L3.3-Electra-R1-70b](https://huggingface.co/Steelskull/L3.3-Electra-R1-70b) as a base. ### Models Merged The following models were included in the merge: * [Nohobby/L3.3-Prikol-70B-EXTRA](https://huggingface.co/Nohobby/L3.3-Prikol-70B-EXTRA) * [Sao10K/Llama-3.3-70B-Vulpecula-r1](https://huggingface.co/Sao10K/Llama-3.3-70B-Vulpecula-r1) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: Sao10K/Llama-3.3-70B-Vulpecula-r1 parameters: select_topk: - filter: self_attn value: 0.1 - filter: "q_proj|k_proj|v_proj" value: 0.1 - filter: "up_proj|down_proj" value: 0.1 - filter: mlp value: 0.1 - value: 0.1 # default for other components - model: Nohobby/L3.3-Prikol-70B-EXTRA parameters: select_topk: - filter: self_attn value: 0.15 - filter: "q_proj|k_proj|v_proj" value: 0.1 - filter: "up_proj|down_proj" value: 0.1 - filter: mlp value: 0.1 - value: 0.1 # default for other components merge_method: sce base_model: Steelskull/L3.3-Electra-R1-70b dtype: float32 out_dtype: bfloat16 tokenizer: source: Steelskull/L3.3-Electra-R1-70b ```