HERMES
Safetensors
English
mistral
uncensored
Merge
slerp
foredoomed
passthrough_merge
9B
starling
dolphin
openchat
erebus
cockatrice
holodeck
limarp
koboldai
mergekit
Instructions to use CalderaAI/Foredoomed-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- HERMES
How to use CalderaAI/Foredoomed-9B with HERMES:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| slices: | |
| - sources: | |
| - model: D:\LLMs\_downloads\_Mistral\__Eroplasm_Project\_esperos | |
| layer_range: [0, 44] | |
| - model: D:\LLMs\_downloads\_Mistral\__Eroplasm_Project\_casper | |
| layer_range: [0, 44] | |
| merge_method: slerp | |
| tokenizer_source: base | |
| base_model: D:\LLMs\_downloads\_Mistral\__Eroplasm_Project\_esperos | |
| parameters: | |
| embed_slerp: true | |
| t: | |
| - filter: self_attn | |
| value: [1, 0.5, 0.7, 0.3, 0] | |
| - filter: mlp | |
| value: [0, 0.5, 0.3, 0.7, 1] | |
| - value: 0.5 # fallback for rest of tensors | |
| dtype: float32 |