Hugging Face's logo

ArliAI
/
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-GGUF

GGUF
Inference Endpoints
conversational
Model card Files Community
1
OwenArli commited on
Commit
30192f9
•
1 Parent(s): db694ec

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +5 -1
README.md CHANGED
@@ -6,9 +6,13 @@ license: apache-2.0
6
 
7
  ## RPMax Series Overview
8
 
9
- | [3.8B](https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1) |
 
10
  [8B](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1) |
 
11
  [12B](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) |
 
 
12
  [70B](https://huggingface.co/ArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.1) |
13
 
14
  RPMax is a series of models that are trained on a diverse set of curated creative writing and RP datasets with a focus on variety and deduplication. This model is designed to be highly creative and non-repetitive by making sure no two entries in the dataset have repeated characters or situations, which makes sure the model does not latch on to a certain personality and be capable of understanding and acting appropriately to any characters or situations.
 
6
 
7
  ## RPMax Series Overview
8
 
9
+ | [2B](https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1) |
10
+ [3.8B](https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1) |
11
  [8B](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1) |
12
+ [9B](https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1) |
13
  [12B](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) |
14
+ [20B](https://huggingface.co/ArliAI/InternLM2_5-20B-ArliAI-RPMax-v1.1) |
15
+ [22B](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1) |
16
  [70B](https://huggingface.co/ArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.1) |
17
 
18
  RPMax is a series of models that are trained on a diverse set of curated creative writing and RP datasets with a focus on variety and deduplication. This model is designed to be highly creative and non-repetitive by making sure no two entries in the dataset have repeated characters or situations, which makes sure the model does not latch on to a certain personality and be capable of understanding and acting appropriately to any characters or situations.