DeepVeo-R1-B

1
—
by
mergekit-community
Language Model
OTHER
2311.03099B params
New
0 downloads
Early-stage
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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/Qwen2.5-1.5B-Instruct
    # No parameters necessary for base model
  - model: Alfitaria/Q25-1.5B-VeoLu
    parameters:
      density: 0.56
      weight: 0.6
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
    parameters:
      density: 0.44
      weight: 0.4
merge_method: dare_ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-1.5B-Instruct
    # No parameters necessary for base model
  - model: Alfitaria/Q25-1.5B-VeoLu
    parameters:
      density: 0.56
      weight: 0.6
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
    parameters:
      density: 0.44
      weight: 0.4
merge_method: dare_ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-1.5B-Instruct
    # No parameters necessary for base model
  - model: Alfitaria/Q25-1.5B-VeoLu
    parameters:
      density: 0.56
      weight: 0.6
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
    parameters:
      density: 0.44
      weight: 0.4
merge_method: dare_ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-1.5B-Instruct
    # No parameters necessary for base model
  - model: Alfitaria/Q25-1.5B-VeoLu
    parameters:
      density: 0.56
      weight: 0.6
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
    parameters:
      density: 0.44
      weight: 0.4
merge_method: dare_ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-1.5B-Instruct
    # No parameters necessary for base model
  - model: Alfitaria/Q25-1.5B-VeoLu
    parameters:
      density: 0.56
      weight: 0.6
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
    parameters:
      density: 0.44
      weight: 0.4
merge_method: dare_ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  int8_mask: true
dtype: float16

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