初始化项目，由ModelHub XC社区提供模型

Model: Indexnusrefather/gemma-3-4b-it-roleplay-tuned-v2
Source: Original Platform

README.md

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+---
+license: gemma
+language:
+- en
+base_model:
+- google/gemma-3-4b-it
+base_model_relation: finetune
+pipeline_tag: text-generation
+tags:
+- rp
+- roleplay
+- writer
+- finetune
+- creative
+- experimental
+- lora
+new_version: Indexnusrefather/Super-Slop-Machina-XXL-v0.1-4B
+---
+
+# What is it?
+This is my further improvement of my previous gemma 3 4b it finetune, trained on way bigger amounts of unique data(17M tokens), which resulted in way better writing, bringing the model closer to how 8b and even 12b models write, at times.
+
+# Details:
+## Advantages:
+* Way better writing than the base model, less slop and enhanced creativity
+* keeps good track of the story
+* Small, runs fast
+* Better understanding of complex emotional topics
+## Disadvantages:
+* 4b model has limited logic, this tune forces all of this logic to work in order to provide the best creative writing possible
+
+# A word on the quants for this model:
+* BF16- Mostly overkill, however, highest quality
+* Q8_0- Amazing quality, near lossless
+* Q6_K- High quality, fast
+* Q5_K_M- Mid to high quality, small and fast
+* Q4_K_M- Mid quality, very small and very fast
+
+Quants are located in the repo, along with safetensors
+
+# What I will do next and is v3 possible?
+Next I will probably turn my attention back to smaller models, like Qwen 3.5 2b and LFM 1.2b. I also may train a new version on an even bigger dataset, but it might result in overfitting, overall, this model is the peak performance for a 4b model, or at least the best I could do. working with it wasnt easy, but I did my best and feel satisfied with the results.
+
+PS:(Honestly, I wasted too much time on that, there will soon be a WN9 in Limbus so I probably will finetune less)