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/Qwen2.5-3B as a base.
Models Merged
The following models were included in the merge:
- Qwen/Qwen2.5-3B-Instruct + ehristoforu/flc-r-0004-lora
- Qwen/Qwen2.5-3B-Instruct
- Qwen/Qwen2.5-3B-Instruct + ehristoforu/flc-r-0001-lora
- Qwen/Qwen2.5-3B-Instruct + ehristoforu/flc-r-0002-lora
- Qwen/Qwen2.5-3B-Instruct + ehristoforu/flc-r-0003-lora
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Qwen/Qwen2.5-3B-Instruct+ehristoforu/flc-r-0001-lora
parameters:
weight: 1
density: 1
- model: Qwen/Qwen2.5-3B-Instruct+ehristoforu/flc-r-0002-lora
parameters:
weight: 1
density: 1
- model: Qwen/Qwen2.5-3B-Instruct+ehristoforu/flc-r-0003-lora
parameters:
weight: 1
density: 1
- model: Qwen/Qwen2.5-3B-Instruct+ehristoforu/flc-r-0004-lora
parameters:
weight: 1
density: 1
- model: Qwen/Qwen2.5-3B-Instruct
parameters:
weight: 1
density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-3B
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
tokenizer_source: Qwen/Qwen2.5-3B-Instruct
dtype: float16
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