mergekit-ties-htjjeox
1
llama
by
mergekit-community
Language Model
OTHER
2306.01708B params
New
1 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
5155GB+ 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
2148GB+ RAM
Code Examples
Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Configurationyaml
models:
- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Mix
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
normalize: false
int8_mask: true
dtype: float16Deploy 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.