--- library_name: transformers tags: - mergekit - merge - solar - llama - not-for-all-audiences - llama-cpp - gguf-my-repo base_model: v000000/SyntheticMoist-11B-v2 --- # v000000/SyntheticMoist-11B-v2-Q6_K-GGUF This model was converted to GGUF format from [`v000000/SyntheticMoist-11B-v2`](https://huggingface.co/v000000/SyntheticMoist-11B-v2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/v000000/SyntheticMoist-11B-v2) for more details on the model. ### SyntheticMoist-v2 RP Model, Solar. Higher density+LimaRP led to better performance, Alpaca/Vicuna. ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f74b6e6389380c77562762/nipwgMMVVEWvJqN3TSWZP.png) # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Sao10K/Fimbulvetr-11B-v2](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2) as a base. ### Models Merged The following models were included in the merge: * [TheDrummer/Moistral-11B-v3](https://huggingface.co/TheDrummer/Moistral-11B-v3) * [Himitsui/MedMitsu-Instruct-11B](https://huggingface.co/Himitsui/MedMitsu-Instruct-11B) * [Himitsui/Kaiju-11B](https://huggingface.co/Himitsui/Kaiju-11B) * [migtissera/Synthia-v3.0-11B](https://huggingface.co/migtissera/Synthia-v3.0-11B) + [jeiku/Re-Host_Limarp_Mistral](https://huggingface.co/jeiku/Re-Host_Limarp_Mistral) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: Himitsui/MedMitsu-Instruct-11B parameters: weight: 0.13 density: 0.60 - model: Himitsui/Kaiju-11B parameters: weight: 0.22 density: 0.73 - model: migtissera/Synthia-v3.0-11B+jeiku/Re-Host_Limarp_Mistral parameters: weight: 0.28 density: 0.80 - model: TheDrummer/Moistral-11B-v3 parameters: weight: 0.37 density: 0.85 merge_method: dare_ties base_model: Sao10K/Fimbulvetr-11B-v2 parameters: int8_mask: true dtype: bfloat16 ```