Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) Hermes-2-Theta-L3-Euryale-Ties-0.8-70B - GGUF - Model creator: https://huggingface.co/juvi21/ - Original model: https://huggingface.co/juvi21/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B/ | Name | Quant method | Size | | ---- | ---- | ---- | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q2_K.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/blob/main/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q2_K.gguf) | Q2_K | 24.56GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/blob/main/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.IQ3_XS.gguf) | IQ3_XS | 27.29GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/blob/main/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.IQ3_S.gguf) | IQ3_S | 28.79GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/blob/main/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q3_K_S.gguf) | Q3_K_S | 28.79GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/blob/main/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.IQ3_M.gguf) | IQ3_M | 29.74GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q3_K.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/blob/main/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q3_K.gguf) | Q3_K | 31.91GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/blob/main/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q3_K_M.gguf) | Q3_K_M | 31.91GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/blob/main/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q3_K_L.gguf) | Q3_K_L | 34.59GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/blob/main/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.IQ4_XS.gguf) | IQ4_XS | 35.64GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q4_0.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/blob/main/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q4_0.gguf) | Q4_0 | 37.22GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/tree/main/) | IQ4_NL | 37.58GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/tree/main/) | Q4_K_S | 37.58GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q4_K.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/tree/main/) | Q4_K | 39.6GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/tree/main/) | Q4_K_M | 39.6GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q4_1.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/tree/main/) | Q4_1 | 41.27GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q5_0.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/tree/main/) | Q5_0 | 45.32GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/tree/main/) | Q5_K_S | 45.32GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q5_K.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/tree/main/) | Q5_K | 46.52GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/tree/main/) | Q5_K_M | 46.52GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q5_1.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/tree/main/) | Q5_1 | 49.36GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q6_K.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/tree/main/) | Q6_K | 53.91GB | | [Hermes-2-Theta-L3-Euryale-Ties-0.8-70B.Q8_0.gguf](https://huggingface.co/RichardErkhov/juvi21_-_Hermes-2-Theta-L3-Euryale-Ties-0.8-70B-gguf/tree/main/) | Q8_0 | 69.83GB | Original model description: --- base_model: - Sao10K/L3-70B-Euryale-v2.1 - NousResearch/Hermes-2-Theta-Llama-3-70B library_name: transformers tags: - mergekit - merge --- # Hermes-2-Theta-L3-Euryale-Ties-0.8-70B This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). I wanted to have enhanced roleplay performance and merged two of my favorite models together. I maybe release some merges like this with different methods and biases. This config seemed to be the best mix of both world on first glance. I will update my experiences further in the future. ## Merge Details ### Merge Method This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Hermes-2-Theta-Llama-3-70B](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-70B) as a base. ### Models Merged The following models were included in the merge: * [Sao10K/L3-70B-Euryale-v2.1](https://huggingface.co/Sao10K/L3-70B-Euryale-v2.1) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: NousResearch/Hermes-2-Theta-Llama-3-70B parameters: weight: 0.8 - model: Sao10K/L3-70B-Euryale-v2.1 parameters: weight: 0.2 merge_method: ties base_model: NousResearch/Hermes-2-Theta-Llama-3-70B parameters: density: 0.7 normalize: true dtype: float16 tokenizer_source: base ```