mergekit-ties-mtbkpmt

Name: mergekit-ties-mtbkpmt
Author: mergekit-community

—

mergekit-community

Language Model

OTHER

2306.01708B params

New

2 downloads

Early-stage

Try on Hugging Face Add to Compare

Edge AI:

Mobile

Laptop

Server

5155GB+ RAM

Mobile

Laptop

Server

Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile

4-6GB RAM

Laptop

16GB RAM

Server

GPU

Minimum Recommended

2148GB+ RAM

Code Examples

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

Configurationyaml

models:
    - model: Qwen/Qwen2.5-Coder-7B-Instruct
      parameters:
        weight: 1
        density: 1
    - model: Qwen/Qwen2.5-7B-Instruct
      parameters:
        weight: 1
        density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
    weight: 1
    density: 1
    normalize: true
    int8_mask: true
tokenizer_source: base
dtype: bfloat16

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