Shirayukihime-12B
2
2
12.0B
2 languages
—
by
yamatazen
Language Model
OTHER
12B params
New
2 downloads
Early-stage
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
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Configurationyaml
merge_method: ties
dtype: bfloat16
out_dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
- model: Elizezen/Himeyuri-v0.1-12B
parameters:
density: 0.75
weight: 0.8
- model: shisa-ai/shisa-v2-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.6Deploy This Model
Production-ready deployment in minutes
Together.ai
Instant API access to this model
Production-ready inference API. Start free, scale to millions.
Try Free APIReplicate
One-click model deployment
Run models in the cloud with simple API. No DevOps required.
Deploy NowDisclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.