初始化项目，由ModelHub XC社区提供模型

Model: Indexnusrefather/Super-Slop-Machina-Roleplay-1.2b
Source: Original Platform

README.md

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+---
+license: other
+license_name: lfm1.0
+license_link: LICENSE
+language:
+- en
+base_model:
+- LiquidAI/LFM2.5-1.2B-Instruct
+pipeline_tag: text-generation
+tags:
+- roleplay
+- rp
+- writer
+- Super
+- creative
+- lfm2.5
+- experimental
+- finetune
+- lora
+---
+
+Super Slop Machina: Complex Roleplay Finetune of LiquidAI's LFM 2.5 1.2b instruct.
+-
+![SuperSlopMachina](https://cdn-uploads.huggingface.co/production/uploads/6a1a2287b0fa00c11077d9fb/4b6J62ppMQwsOMslLCvEt.png)
+
+"Its back, stronger than ever before. Its all yours, on your phone, on your toaster, its always here."
+---
+
+# Overview:
+
+This is, at the moment, my most recent finetune on LFM 1.2b, trained on 35M~ tokens, it overall improves on LFM 2.5 1.2b instruct roleplay tuned v2.
+
+# In comparison to previous version:
+
+* Writes better
+* Coherence was improved
+* Maintains creativity
+
+# 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 may improve it further later, I will still have to say that its fundamentally the same 1.2b base model, even with how much I refined its style.
+
+# V2:
+
+v2 is now out with some improvements: https://huggingface.co/Indexnusrefather/Super-Slop-Machina-Roleplay-1.2b-ERP-Tolerant-V2