Initial Commit

README.md

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+---
+base_model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
+language:
+- en
+library_name: transformers
+license: other
+license_link: https://mistral.ai/licenses/MRL-0.1.md
+license_name: mrl
+quantized_by: SvdH
+base_model_relation: quantized
+---
+# Mistral-Small-22B-ArliAI-RPMax-v1.1-EXL2-6BPW
+=====================================
+
+6BPW ExLLamaV2 quant of https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-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 models 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
+
+Mistral-Small-22B-ArliAI-RPMax-v1.1 is a variant based on mistralai/Mistral-Small-Instruct-2409 which has a restrictive mistral license. So this is for your personal use only.
+
+Context Length: 32768
+
+### Training Details
+
+* **Sequence Length**: 8192
+* **Training Duration**: Approximately 4 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-Small-22B-ArliAI-RPMax-v1.1
+* **GPTQ_Q4**: https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1-GPTQ_Q4
+* **GPTQ_Q8**: https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1-GPTQ_Q8
+* **GGUF**: https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1-GGUF
+
+## Suggested Prompt Format
+
+Mistral Instruct Format

config.json

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+{
+    "_name_or_path": "/home/owen/models/Mistral-Small-Instruct-2409",
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
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+    "initializer_range": 0.02,
+    "intermediate_size": 16384,
+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
+    "num_attention_heads": 48,
+    "num_hidden_layers": 56,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.45.0.dev0",
+    "use_cache": false,
+    "vocab_size": 32768,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.3",
+        "bits": 6.0,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

generation_config.json

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+{
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+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.45.0.dev0"
+}

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