--- base_model: - Sao10K/70B-L3.3-Cirrus-x1 - TheDrummer/Anubis-70B-v1 - meta-llama/Llama-3.3-70B-Instruct - SicariusSicariiStuff/Negative_LLAMA_70B - Sao10K/L3.1-70B-Hanami-x1 - EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1 library_name: transformers tags: - mergekit - merge license: llama3.3 --- So I was really happy with V3.3 but I got some more advice on the tokenizers as it tended to run a little hot... this is an experiment, in thought I might be able to get better creativity with higher temps. Early testing is not very promising in terms of fixing it from running hot though. But in terms of an expanded vocab it seems a success! # 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 [Linear DELLA](https://arxiv.org/abs/2406.11617) merge method using [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) as a base. ### Models Merged The following models were included in the merge: * [Sao10K/70B-L3.3-Cirrus-x1](https://huggingface.co/Sao10K/70B-L3.3-Cirrus-x1) * [TheDrummer/Anubis-70B-v1](https://huggingface.co/TheDrummer/Anubis-70B-v1) * [SicariusSicariiStuff/Negative_LLAMA_70B](https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B) * [Sao10K/L3.1-70B-Hanami-x1](https://huggingface.co/Sao10K/L3.1-70B-Hanami-x1) * [EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: Sao10K/L3.1-70B-Hanami-x1 parameters: weight: 0.20 density: 0.7 - model: Sao10K/70B-L3.3-Cirrus-x1 parameters: weight: 0.20 density: 0.7 - model: SicariusSicariiStuff/Negative_LLAMA_70B parameters: weight: 0.20 density: 0.7 - model: TheDrummer/Anubis-70B-v1 parameters: weight: 0.20 density: 0.7 - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1 parameters: weight: 0.20 density: 0.7 merge_method: della_linear base_model: meta-llama/Llama-3.3-70B-Instruct parameters: epsilon: 0.2 lambda: 1.1 dype: float32 out_dtype: bfloat16 tokenizer: source: Sao10K/L3.1-70B-Hanami-x1 ```