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RichardErkhov/EmbeddedLLM_-_Mistral-7B-Merge-14-v0.5-gguf
EmbeddedLLM_-_Mistral-7B-Merge-14-v0.5-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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From the Hugging Face model README
Quantization made by Richard Erkhov.
Mistral-7B-Merge-14-v0.5 - GGUF
license: cc-by-nc-4.0 language:
Due to mlabonne/NeuralMarcoro14-7B updating its license to CC-BY-NC, our license will follow suit.
This is an experiment to test merging 14 models using DARE TIES 🦙
| Average | 71.96 |
|---|---|
| ARC | 68.69 |
| HellaSwag | 86.45 |
| MMLU | 65.65 |
| TruthfulQA | 59.12 |
| Winogrande | 80.66 |
| GSM8K | 71.19 |
Either ChatML or Llama-2 chat template.
The merge config file for this model is here:
models:
- model: mistralai/Mistral-7B-v0.1
# no parameters necessary for base model
- model: EmbeddedLLM/Mistral-7B-Merge-14-v0.3
parameters:
weight: 0.3
density: 0.5
- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
parameters:
weight: 0.2
density: 0.5
- model: openchat/openchat-3.5-0106
parameters:
weight: 0.2
density: 0.5
- model: mlabonne/NeuralMarcoro14-7B
parameters:
weight: 0.3
density: 0.5
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
int8_mask: true
tokenizer_source: union
dtype: bfloat16