初始化项目，由ModelHub XC社区提供模型

Model: Indexnusrefather/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it
Source: Original Platform

README.md

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+---
+license: other
+license_name: lfm1.0
+license_link: LICENSE
+language:
+- en
+base_model:
+- Indexnusrefather/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-Preview
+base_model_relation: finetune
+pipeline_tag: text-generation
+tags:
+- ERP
+- NSFW
+- rp
+- roleplay
+- creative
+- writer
+- Super
+- SFT
+- lfm2
+- finetuned
+- experimental
+library_name: transformers
+---
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it: Post Trained Release of The Super-Slop-Machina-Roleplay-1.2b-V4 After SFT
+---
+
+
+![5434075627897166230](https://cdn-uploads.huggingface.co/production/uploads/6a1a2287b0fa00c11077d9fb/kf2PfQMMwcTYM70F5c9hf.jpeg)
+
+"Its finally ready."
+-
+
+## Improvement:
+
+* Adapted for longer context
+* Consumed higher quality data
+
+
+## And what does that mean?
+
+Way, way better roleplay than the preview version.
+
+# Quants(Speaking from personal experience with this specific model):
+* BF16- Recommended, highest quality, least logical mistakes.
+* Q8_0- Recommended, high quality, makes slightly more mistakes but nonetheless near lossless.
+* Q6_K- Recommended if Q8_0 is too much, degradation begins, not exactly notable here, but you will notice minor detail loss.(When Mradermacher quantizes this model, I recommend getting his i1 Q6_K quant instead of the one I got in my repo, but in any case I still recommend Q8_0 or BF16)
+* Q5_K_M- Recommended if hardware is really, REALLY bad, degradation becomes noticeable.
+* Q4_K_M- Not recommended for most use cases, degradation is clearly noticeable.
+
+Quants can be found in the repository, along with safetensors.
+
+# Note: 
+I finally somewhat succeeded with gathering my best chatlogs. I don't yet know whether it turned out better than the last version but I do believe its quite better now.
+
+Under 1B models soon! I tried my best with them, results were rather unusual, when I'm done with them, I'll probably return my attention back to ministral 3 3b.
+
+# Big announcement: 
+
+I experimented with Qwen 3.5 9b and I think I am somewhat succeeding, I will soon release the finetuned weights, result that I was able to achieve with it was VERY interesting...