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Model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1 Source: Original Platform
2026-07-26 03:22:11 +08:00
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+---
+license: apache-2.0
+model-index:
+- name: ArliAI-RPMax-12B-v1.1
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 53.49
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ArliAI/ArliAI-RPMax-12B-v1.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 24.81
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ArliAI/ArliAI-RPMax-12B-v1.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 9.21
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ArliAI/ArliAI-RPMax-12B-v1.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 4.25
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ArliAI/ArliAI-RPMax-12B-v1.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 5.56
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ArliAI/ArliAI-RPMax-12B-v1.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 26.49
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ArliAI/ArliAI-RPMax-12B-v1.1
+      name: Open LLM Leaderboard
+---
+# ArliAI-RPMax-12B-v1.1
+=====================================
+
+## RPMax Series Overview
+
+| [2B](https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1) |
+[3.8B](https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1) | 
+[8B](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1) | 
+[9B](https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1) |
+[12B](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) | 
+[20B](https://huggingface.co/ArliAI/InternLM2_5-20B-ArliAI-RPMax-v1.1) | 
+[22B](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1) | 
+[70B](https://huggingface.co/ArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.1) | 
+
+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.
+
+Early tests by users mentioned that these models does not feel like any other RP models, having a different style and generally doesn't feel in-bred.
+
+You can access the model at https://arliai.com and ask questions at https://www.reddit.com/r/ArliAI/
+
+We also have a models ranking page at https://www.arliai.com/models-ranking
+
+Ask questions in our new Discord Server! https://discord.com/invite/t75KbPgwhk
+
+## Model Description
+
+ArliAI-RPMax-12B-v1.1 is a variant based on Mistral Nemo 12B Instruct 2407.
+
+This is arguably the most successful RPMax model due to how Mistral is already very uncensored in the first place.
+
+### Training Details
+
+* **Sequence Length**: 8192
+* **Training Duration**: Approximately 2 days on 2x3090Ti
+* **Epochs**: 1 epoch training for minimized repetition sickness
+* **QLORA**: 64-rank 128-alpha, resulting in ~2% trainable weights
+* **Learning Rate**: 0.00001
+* **Gradient accumulation**: Very low 32 for better learning.
+
+## Quantization
+
+The model is available in quantized formats:
+
+* **FP16**: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
+* **GPTQ_Q4**: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1-GPTQ_Q4
+* **GPTQ_Q8**: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1-GPTQ_Q8
+* **GGUF**: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1-GGUF
+
+
+## Suggested Prompt Format
+
+Mistral Instruct Prompt Format
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ArliAI__ArliAI-RPMax-12B-v1.1)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |20.64|
+|IFEval (0-Shot)    |53.49|
+|BBH (3-Shot)       |24.81|
+|MATH Lvl 5 (4-Shot)| 9.21|
+|GPQA (0-shot)      | 4.25|
+|MuSR (0-shot)      | 5.56|
+|MMLU-PRO (5-shot)  |26.49|
+