Daichi-Instructed-12B

3
—
by
grimjim
Image Model
OTHER
12B params
New
3 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
27GB+ 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
12GB+ RAM

Code Examples

Configurationyaml
base_model: grimjim/gemma-3-12b-pt
tokenizer_source: base
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: true
models:
  - model: grimjim/gemma-3-12b-pt
  - model: grimjim/gemma-3-12b-it
    parameters:
      weight: 0.9
  - model: Delta-Vector/Daichi-12B
    parameters:
      weight: 0.1
Configurationyaml
base_model: grimjim/gemma-3-12b-pt
tokenizer_source: base
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: true
models:
  - model: grimjim/gemma-3-12b-pt
  - model: grimjim/gemma-3-12b-it
    parameters:
      weight: 0.9
  - model: Delta-Vector/Daichi-12B
    parameters:
      weight: 0.1
Configurationyaml
base_model: grimjim/gemma-3-12b-pt
tokenizer_source: base
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: true
models:
  - model: grimjim/gemma-3-12b-pt
  - model: grimjim/gemma-3-12b-it
    parameters:
      weight: 0.9
  - model: Delta-Vector/Daichi-12B
    parameters:
      weight: 0.1
Configurationyaml
base_model: grimjim/gemma-3-12b-pt
tokenizer_source: base
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: true
models:
  - model: grimjim/gemma-3-12b-pt
  - model: grimjim/gemma-3-12b-it
    parameters:
      weight: 0.9
  - model: Delta-Vector/Daichi-12B
    parameters:
      weight: 0.1
Configurationyaml
base_model: grimjim/gemma-3-12b-pt
tokenizer_source: base
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: true
models:
  - model: grimjim/gemma-3-12b-pt
  - model: grimjim/gemma-3-12b-it
    parameters:
      weight: 0.9
  - model: Delta-Vector/Daichi-12B
    parameters:
      weight: 0.1
Configurationyaml
base_model: grimjim/gemma-3-12b-pt
tokenizer_source: base
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: true
models:
  - model: grimjim/gemma-3-12b-pt
  - model: grimjim/gemma-3-12b-it
    parameters:
      weight: 0.9
  - model: Delta-Vector/Daichi-12B
    parameters:
      weight: 0.1
Configurationyaml
base_model: grimjim/gemma-3-12b-pt
tokenizer_source: base
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: true
models:
  - model: grimjim/gemma-3-12b-pt
  - model: grimjim/gemma-3-12b-it
    parameters:
      weight: 0.9
  - model: Delta-Vector/Daichi-12B
    parameters:
      weight: 0.1
Configurationyaml
base_model: grimjim/gemma-3-12b-pt
tokenizer_source: base
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: true
models:
  - model: grimjim/gemma-3-12b-pt
  - model: grimjim/gemma-3-12b-it
    parameters:
      weight: 0.9
  - model: Delta-Vector/Daichi-12B
    parameters:
      weight: 0.1
Configurationyaml
base_model: grimjim/gemma-3-12b-pt
tokenizer_source: base
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: true
models:
  - model: grimjim/gemma-3-12b-pt
  - model: grimjim/gemma-3-12b-it
    parameters:
      weight: 0.9
  - model: Delta-Vector/Daichi-12B
    parameters:
      weight: 0.1

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.