Text Generation
Transformers
Safetensors
English
qwen3
mergekit
Merge
esper
esper-3
dmind
dmind-1-mini
cobalt
cobalt-2
grayline
valiant
valiant-labs
qwen
qwen-3
qwen-3-14b
14b
reasoning
web3
code
code-instruct
python
javascript
dev-ops
jenkins
terraform
scripting
powershell
azure
aws
gcp
cloud
problem-solving
architect
engineer
developer
creative
analytical
expert
rationality
math
math-reasoning
math-instruct
uncensored
unfiltered
amoral-ai
conversational
chat
instruct
text-generation-inference
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---
base_model:
- DMindAI/DMind-1-mini
- Qwen/Qwen3-14B
- soob3123/GrayLine-Qwen3-14B
- ValiantLabs/Qwen3-14B-Cobalt2
- ValiantLabs/Qwen3-14B-Esper3
library_name: transformers
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- mergekit
- merge
- esper
- esper-3
- dmind
- dmind-1-mini
- cobalt
- cobalt-2
- grayline
- valiant
- valiant-labs
- qwen
- qwen-3
- qwen-3-14b
- 14b
- reasoning
- web3
- code
- code-instruct
- python
- javascript
- dev-ops
- jenkins
- terraform
- scripting
- powershell
- azure
- aws
- gcp
- cloud
- problem-solving
- architect
- engineer
- developer
- creative
- analytical
- expert
- rationality
- math
- math-reasoning
- math-instruct
- uncensored
- unfiltered
- amoral-ai
- conversational
- chat
- instruct
---
# sequelbox/Qwen3-14B-Esper3Mix
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit), combining several Qwen 3 14b finetunes to maximize reasoning performance.
## Merge Details
### Merge Method
This model was merged using the [DELLA](https://arxiv.org/abs/2406.11617) merge method using [Qwen/Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) as a base.
### Models Merged
The following models were included in the merge:
* [DMindAI/DMind-1-mini](https://huggingface.co/DMindAI/DMind-1-mini)
* [soob3123/GrayLine-Qwen3-14B](https://huggingface.co/soob3123/GrayLine-Qwen3-14B)
* [ValiantLabs/Qwen3-14B-Cobalt2](https://huggingface.co/ValiantLabs/Qwen3-14B-Cobalt2)
* [ValiantLabs/Qwen3-14B-Esper3](https://huggingface.co/ValiantLabs/Qwen3-14B-Esper3)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: della
dtype: bfloat16
parameters:
normalize: true
models:
- model: ValiantLabs/Qwen3-14B-Esper3
parameters:
density: 0.25
weight: 0.4
- model: ValiantLabs/Qwen3-14B-Cobalt2
parameters:
density: 0.25
weight: 0.25
- model: DMindAI/DMind-1-mini
parameters:
density: 0.25
weight: 0.25
- model: soob3123/GrayLine-Qwen3-14B
parameters:
density: 0.25
weight: 0.25
base_model: Qwen/Qwen3-14B
```
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