metadata
base_model:
- Qwen/Qwen2.5-14B
- sometimesanotion/Qwenvergence-14B-v6-Prose-slerp
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
language:
- en
metrics:
- accuracy
pipeline_tag: text-generation
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using Qwen/Qwen2.5-14B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
name: Qwenvergence-14B-v6-Prose-model_stock
merge_method: model_stock
base_model: Qwen/Qwen2.5-14B
tokenizer_source: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
parameters:
int8_mask: true
normalize: true
rescale: false
models:
- model: arcee-ai/Virtuoso-Small
- model: sometimesanotion/Lamarck-14B-v0.3
- model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
- model: allura-org/TQ2.5-14B-Sugarquill-v1
- model: oxyapi/oxy-1-small
- model: v000000/Qwen2.5-Lumen-14B
- model: sthenno-com/miscii-14b-1225
- model: sthenno-com/miscii-14b-1225
- model: underwoods/medius-erebus-magnum-14b
- model: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
dtype: float32
out_dtype: bfloat16
---
# Nifty TIES, LoRA, SLERP involving the listed models
---
name: Qwenvergence-14B-v6-Prose
merge_method: ties
base_model: Qwen/Qwen2.5-14B
tokenizer_source: base
parameters:
density: 1.00
weight: 1.00
int8_mask: true
normalize: true
rescale: false
dtype: float32
out_dtype: bfloat16
models:
- model: sometimesanotion/Qwenvergence-14B-v6-Prose-slerp
parameters:
density: 1.00
weight: 1.00