mergekit-dare_ties-psxhlrx

Name: mergekit-dare_ties-psxhlrx
Author: mergekit-community

—

mergekit-community

Language Model

OTHER

2311.03099B params

New

2 downloads

Early-stage

Try on Hugging Face Add to Compare

Edge AI:

Mobile

Laptop

Server

5166GB+ RAM

Mobile

Laptop

Server

Quick Summary

This is a merge of pre-trained language models created using mergekit.

Device Compatibility

Mobile

4-6GB RAM

Laptop

16GB RAM

Server

GPU

Minimum Recommended

2153GB+ RAM

Code Examples

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-14B
    #no parameters necessary for base model
  - model: huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated
    parameters:
      density: 0.53
      weight: 0.4
  - model: Krystalan/DRT-14B
    parameters:
      density: 0.5
      weight: 0.3
  - model: netease-youdao/Confucius-o1-14B
    parameters:
      density: 0.5
      weight: 0.3

merge_method: dare_ties
base_model: Qwen/Qwen2.5-14B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

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.