---
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...