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kim512
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Llama-3-70b-Arimas-story-RP-V1-5.0bpw-exl2

Text Generation
Transformers
llama
mergekit
Merge
llama-3
70b
conversational
Inference Endpoints
Model card Files Community
Llama-3-70b-Arimas-story-RP-V1-5.0bpw-exl2
File size: 2,573 Bytes 
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---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
- llama-3
- 70b
---

# EXL2 quants of [ryzen88/Llama-3-70b-Arimas-story-RP-V1](https://huggingface.co/ryzen88/Llama-3-70b-Arimas-story-RP-V1)

[3.00 bits per weight](https://huggingface.co/kim512/Llama-3-70b-Arimas-story-RP-V1-3.0bpw-exl2)  
[3.50 bits per weight](https://huggingface.co/kim512/Llama-3-70b-Arimas-story-RP-V1-3.5bpw-exl2)  
[4.00 bits per weight](https://huggingface.co/kim512/Llama-3-70b-Arimas-story-RP-V1-4.0bpw-exl2)  
[4.50 bits per weight](https://huggingface.co/kim512/Llama-3-70b-Arimas-story-RP-V1-4.5bpw-exl2)  
[5.00 bits per weight](https://huggingface.co/kim512/Llama-3-70b-Arimas-story-RP-V1-5.0bpw-exl2)  
[6.00 bits per weight](https://huggingface.co/kim512/Llama-3-70b-Arimas-story-RP-V1-6.0bpw-exl2)  
[8.00 bits per weight](https://huggingface.co/kim512/Llama-3-70b-Arimas-story-RP-V1-8.0bpw-exl2)  

# Llama-3-70b-Arimas-story-RP-V1

This is really a followup and improvement off my original Lumi-Tess model.

# model
A large context uncencored Llama 3 instruct model focussed on story & RP.
I found the Smaug version of lama very impressive, exept for a couple of quirks and the default context window.
This merge is with the Giraffe instruct for long context window, and basically a smaug - lumi tess merger.
I am planning to do the same with a gradient model and compaire it to this giraffe version.
Breadcrumbs_ties really is awesome.


This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
A big thanks to the creators of the models used in this merge

## Merge Details
### Merge Method

This model was merged using the breadcrumbs_ties merge method using Z:\Llama-3-Giraffe-70B-Instruct as a base.

### Models Merged

The following models were included in the merge:
* \Smaug-Llama-3-70B-Instruct
* \Llama-3-Lumimaid-70B-v0.1-alt
* \Tess-2.0-Llama-3-70B-v0.2

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: \Llama-3-Giraffe-70B-Instruct
    parameters:
      weight: 0.25
      density: 0.90
      gamma: 0.01
  - model: \Smaug-Llama-3-70B-Instruct
    parameters:
      weight: 0.30
      density: 0.90
      gamma: 0.01
  - model: \Tess-2.0-Llama-3-70B-v0.2
    parameters:
      weight: 0.15
      density: 0.90
      gamma: 0.01
  - model: \Llama-3-Lumimaid-70B-v0.1-alt
    parameters:
      weight: 0.30
      density: 0.90
      gamma: 0.01
merge_method: breadcrumbs_ties
base_model: \Llama-3-Giraffe-70B-Instruct
dtype: bfloat16
```