初始化项目，由ModelHub XC社区提供模型

Model: Indexnusrefather/gemma-3-4b-it-roleplay-tuned-v1
Source: Original Platform

README.md

@@ -0,0 +1,46 @@
+---
+license: gemma
+datasets:
+- ChaoticNeutrals/Gryphes-Sonnet3.5-Charcard-Roleplay-Heavy_Filtering
+language:
+- en
+base_model:
+- google/gemma-3-4b-it
+pipeline_tag: text-generation
+tags:
+- rp
+- roleplay
+- creative
+- writer
+- gemma3
+- lora
+- finetune
+- experimental
+---
+
+# What is it?
+This model is my attempt at further improving the results of LFM2.5 1.2b instruct finetune, since 1.2b is very little, I decided to work on a heavier, but still somewhat tiny architecture. So why not qwen 3.5 4b? I honestly tested, hell, even made a similar finetune on it, but roleplay wise, gemma 3 felt better to me.
+
+## But generally, this is me trying to create a portable model that anybody can run, I am doing my best to make those smaller models do roleplay.
+
+# A word on how good is it:
+## Advantages:
+* Better writing
+* less slop
+* small size
+* improved punctuation
+## Disadvantages:
+* Logic is massively improved over LFM 2.5 1.2b tune, but is not ideal
+* Due to being a rather small model, it will tend to sometimes repeat itself, altough I did my best to prevent this from happening
+
+# 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
+
+# V2:
+v2 is on the way, I am training it on way larger dataset(17M unique tokens of roleplay data). It will improve current results, and I will make sure it will do so without overfitting. I will continue making small roleplay tunes in order to make local roleplay possible for anyone, no matter the hardware.