transformers safetensors llama text-generation frankenmerge merge 124b conversational en license:llama2 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: llama2
language:
- en
pipeline_tag: conversational
tags:
- frankenmerge
- merge
- 124b
---
# BigWeave v7.1 124b

<img src="https://cdn-uploads.huggingface.co/production/uploads/65a6db055c58475cf9e6def1/4CbbAN-X7ZWj702JrcCGH.png" width=600>

The BigWeave models aim to experimentally identify merge settings for increasing model performance. The version number merely tracks various attempts and is not a quality indicator. Only results demonstrating good performance are retained and shared.

# Prompting Format
Vicuna and Alpaca.

# Merge process
This is a merge of Xwin-LM/Xwin-LM-70B-V0.1 and Sao10K/Euryale-1.3-L2-70B. It uses the same configuration as alpindale/goliath-120b but with the ranges "fixed" since goliath omits some layers (see [this thread](https://huggingface.co/ChuckMcSneed/WinterGoliath-123b/discussions/2#65d324693ecda975d83089d3)).

Merge configuration:
```
slices:
  - sources:
    - model: Xwin-LM/Xwin-LM-70B-V0.1
      layer_range: [0,16]
  - sources:
    - model: Sao10K/Euryale-1.3-L2-70B
      layer_range: [8,24]
  - sources:
    - model: Xwin-LM/Xwin-LM-70B-V0.1
      layer_range: [16,32]
  - sources:
    - model: Sao10K/Euryale-1.3-L2-70B
      layer_range: [24,40]
  - sources:
    - model: Xwin-LM/Xwin-LM-70B-V0.1
      layer_range: [32,48]
  - sources:
    - model: Sao10K/Euryale-1.3-L2-70B
      layer_range: [40,56]
  - sources:
    - model: Xwin-LM/Xwin-LM-70B-V0.1
      layer_range: [48,64]
  - sources:
    - model: Sao10K/Euryale-1.3-L2-70B
      layer_range: [56,72]
  - sources:
    - model: Xwin-LM/Xwin-LM-70B-V0.1
      layer_range: [64,80]
merge_method: passthrough
dtype: float16
```