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---
license: other
license_name: gemma-terms-of-use
license_link: https://ai.google.dev/gemma/terms
tags:
- merge
---
EveryoneLLM-7b-Gemma-Base
Quantizations:
GGUF
- https://huggingface.co/rombodawg/EveryoneLLM-7b-Gemma-Base-GGUF
EveryoneLLM series of models made by the community, for the community.
This is the second version of Everyone-LLM using Gemma-7b, a model that combines the power of the large majority of powerfull fine-tuned LLM's made by the community, to create a vast and knowledgable LLM with various abilities with an extra emphasis on coding capabilities.
Prompt template: Alpaca
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
```
The models that were used in this merger were as follow:
- https://huggingface.co/openchat/openchat-3.5-0106-gemma
- https://huggingface.co/TechxGenus/CodeGemma-7b
- https://huggingface.co/VAGOsolutions/SauerkrautLM-Gemma-7b
- https://huggingface.co/macadeliccc/gemma-orchid-7b-dpo
- https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1
- https://huggingface.co/CorticalStack/gemma-7b-ultrachat-sft
- https://huggingface.co/google/gemma-7b
Thank you to the creators of the above ai models, they have full credit for the EveryoneLLM series of models. Without their hard work we wouldnt be able to achieve the great success we have in the open source community. 💗
This model was merges in 2 parts. The order of parts is listed bellow, then a copy and pastable version is bellow that.
```yaml
models:
- model: VAGOsolutions_SauerkrautLM-Gemma-7b
parameters:
weight: 1
- model: macadeliccc_gemma-orchid-7b-dpo
parameters:
weight: 1
- model: HuggingFaceH4_zephyr-7b-gemma-v0.1
parameters:
weight: 1
- model: CorticalStack_gemma-7b-ultrachat-sft
parameters:
weight: 1
merge_method: task_arithmetic
base_model: gemma-7b-base
parameters:
normalize: true
int8_mask: true
dtype: float16
```
```yaml
models:
- model: Gemma-Merge-1-7b
parameters:
weight: 1
- model: openchat_openchat-3.5-0106-gemma
parameters:
weight: 1
- model: TechxGenus_CodeGemma-7b
parameters:
weight: 1
merge_method: task_arithmetic
base_model: gemma-7b-base
parameters:
normalize: true
int8_mask: true
dtype: float16
```
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