Qwen2.5-7B-task5

1
license:apache-2.0
by
allknowingroger
Language Model
OTHER
7B params
New
0 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
16GB+ 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
7GB+ RAM

Code Examples

Configurationyaml
models:
  - model: Tsunami-th/Tsunami-0.5x-7B-Instruct
    parameters:
      weight: 1.0
  - model: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.2
    parameters:
      weight: 1.0
merge_method: task_arithmetic
base_model: Qwen/Qwen2.5-7B
parameters:
    normalize: true
dtype: bfloat16
Configurationyaml
models:
  - model: Tsunami-th/Tsunami-0.5x-7B-Instruct
    parameters:
      weight: 1.0
  - model: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.2
    parameters:
      weight: 1.0
merge_method: task_arithmetic
base_model: Qwen/Qwen2.5-7B
parameters:
    normalize: true
dtype: bfloat16
Configurationyaml
models:
  - model: Tsunami-th/Tsunami-0.5x-7B-Instruct
    parameters:
      weight: 1.0
  - model: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.2
    parameters:
      weight: 1.0
merge_method: task_arithmetic
base_model: Qwen/Qwen2.5-7B
parameters:
    normalize: true
dtype: bfloat16
Configurationyaml
models:
  - model: Tsunami-th/Tsunami-0.5x-7B-Instruct
    parameters:
      weight: 1.0
  - model: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.2
    parameters:
      weight: 1.0
merge_method: task_arithmetic
base_model: Qwen/Qwen2.5-7B
parameters:
    normalize: true
dtype: bfloat16
Configurationyaml
models:
  - model: Tsunami-th/Tsunami-0.5x-7B-Instruct
    parameters:
      weight: 1.0
  - model: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.2
    parameters:
      weight: 1.0
merge_method: task_arithmetic
base_model: Qwen/Qwen2.5-7B
parameters:
    normalize: true
dtype: bfloat16
Configurationyaml
models:
  - model: Tsunami-th/Tsunami-0.5x-7B-Instruct
    parameters:
      weight: 1.0
  - model: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.2
    parameters:
      weight: 1.0
merge_method: task_arithmetic
base_model: Qwen/Qwen2.5-7B
parameters:
    normalize: true
dtype: bfloat16

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.