negative-starlike-v2

1
by
ToastyPigeon
Image Model
OTHER
2203.05482B params
New
1 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
4925GB+ 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
2052GB+ RAM

Code Examples

Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
dtype: bfloat16
Configurationyaml
models:
  - model: ToastyPigeon/gemma3-27b-glitterlike-v2
    parameters: 
      weight: 0.5
  - model: ToastyPigeon/negative-confetti
    parameters:
      weight: 0.5   
merge_method: linear 
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.