Qwen3-14B-Esper3Web3

3
14.0B
3 languages
license:apache-2.0
by
sequelbox
Language Model
OTHER
14B params
New
3 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
32GB+ RAM
Mobile
Laptop
Server
Quick Summary

This is a merge of pre-trained language models created using mergekit, combining the specialty skills of Esper 3 14b and DMindAI/DMind-1-mini.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
14GB+ RAM

Code Examples

Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B
Configurationyaml
merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Qwen3-14B-Esper3
    parameters:
      density: 0.5
      weight: 0.3
  - model: DMindAI/DMind-1-mini
    parameters:
      density: 0.5
      weight: 0.25
base_model: Qwen/Qwen3-14B

Deploy This Model

Production-ready deployment in minutes

Together.ai

Instant API access to this model

Fastest API

Production-ready inference API. Start free, scale to millions.

Try Free API

Replicate

One-click model deployment

Easiest Setup

Run models in the cloud with simple API. No DevOps required.

Deploy Now

Disclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.