metadata

base_model:
  - ValiantLabs/Qwen3-8B-ShiningValiant3
  - ValiantLabs/Qwen3-8B-Esper3
  - Qwen/Qwen3-8B
library_name: transformers
tags:
  - mergekit
  - merge
  - qwen
  - qwen-3
  - qwen-3-8b
  - 8b
  - reasoning
  - code
  - code-reasoning
  - code-instruct
  - python
  - javascript
  - dev-ops
  - jenkins
  - terraform
  - scripting
  - powershell
  - azure
  - aws
  - gcp
  - cloud
  - science
  - science-reasoning
  - physics
  - biology
  - chemistry
  - earth-science
  - astronomy
  - machine-learning
  - artificial-intelligence
  - compsci
  - computer-science
  - information-theory
  - ML-Ops
  - math
  - cuda
  - deep-learning
  - transformers
  - agentic
  - LLM
  - neuromorphic
  - self-improvement
  - complex-systems
  - cognition
  - linguistics
  - philosophy
  - logic
  - epistemology
  - simulation
  - game-theory
  - knowledge-management
  - creativity
  - problem-solving
  - architect
  - engineer
  - developer
  - creative
  - analytical
  - expert
  - rationality
  - conversational
  - chat
  - instruct
datasets:
  - sequelbox/Celestia3-DeepSeek-R1-0528
  - sequelbox/Mitakihara-DeepSeek-R1-0528
  - sequelbox/Titanium2.1-DeepSeek-R1
  - sequelbox/Tachibana2-DeepSeek-R1
  - sequelbox/Raiden-DeepSeek-R1

PlumEsper

This is a merge of pre-trained language models created using mergekit, combining the specialty and general reasoning skills of Esper 3 8b and Shining Valiant 3 8b.

Merge Details

Merge Method

This model was merged using the DELLA merge method using Qwen/Qwen3-8B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-8B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: ValiantLabs/Qwen3-8B-ShiningValiant3
    parameters:
      density: 0.5
      weight: 0.3
base_model: Qwen/Qwen3-8B