Text Generation
Transformers
Safetensors
English
llama
text-generation-inference
unsloth
Uncensored
trl
roleplay
conversational
Instructions to use N-Bot-Int/MrgrtV2-3B-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use N-Bot-Int/MrgrtV2-3B-merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="N-Bot-Int/MrgrtV2-3B-merged") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("N-Bot-Int/MrgrtV2-3B-merged") model = AutoModelForCausalLM.from_pretrained("N-Bot-Int/MrgrtV2-3B-merged", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use N-Bot-Int/MrgrtV2-3B-merged with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "N-Bot-Int/MrgrtV2-3B-merged" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "N-Bot-Int/MrgrtV2-3B-merged", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/N-Bot-Int/MrgrtV2-3B-merged
- SGLang
How to use N-Bot-Int/MrgrtV2-3B-merged with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "N-Bot-Int/MrgrtV2-3B-merged" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "N-Bot-Int/MrgrtV2-3B-merged", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "N-Bot-Int/MrgrtV2-3B-merged" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "N-Bot-Int/MrgrtV2-3B-merged", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Desktop
- Docker Model Runner
How to use N-Bot-Int/MrgrtV2-3B-merged with Docker Model Runner:
docker model run hf.co/N-Bot-Int/MrgrtV2-3B-merged
Update README.md
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README.md
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license: agpl-3.0
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---
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base_model:
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- huihui-ai/Llama-3.2-3B-Instruct-abliterated
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- llama
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- Uncensored
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- trl
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- roleplay
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- conversational
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license: agpl-3.0
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language:
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- en
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pipeline_tag: text-generation
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datasets:
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- N-Bot-Int/Iris-Uncensored-Reformat-R2
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- N-Bot-Int/RP-Mixed-v1
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library_name: transformers
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---
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# MrgrtV2-3B is OFFICIALLY RELEASED!
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# MrgrtV2-3B, rebalanced, cleaned and fixed than previous version!
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- MrgrtV2-3B, our brand new flagship model is now released with a better model training than previous V1, the V1 had a massive poison on the dataset
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it were trained, leading to the model having insane early <|eos_token|> even though the roleplay is still not yet finished.
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- MrgrtV2-3B aims to fix the issue by showcasing the quality of the dataset, by training on a 3B model! revealing that the dataset is high quality!
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and the early issues were simply the poison that killed the quality of V1 Models!
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**THEREFORE THIS MODEL IS PURELY A FIX TO THE PREVIOUS V1 MODEL! HOWEVER THE QUALITY IS INSANELY, NIGHT AND DAY!**
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*READ MORE FOR MORE INFO*
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3 BILLIONS PARAMS MODEL
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# MrgrtV2-3B Model Procedure/Methodology:
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- MrgrtV2-3B is trained Using **HuiHui-Ai's** Llama 3.2 3B instruct abliterated Model,
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ensuring full creative flow without refusal!
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MrgrtV2-3B is then fed the new **22k single-row DATASET** named **MEulysis-Cleaned-formatted** which were obtained after splitting the previous dataset and cleaned EVEN FURTHER!
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- **MEulysis-Cleaned-formatted** β a 22 entry synthetically generated dataset produced using
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multiple capable RP models (including Hermes(mythomax were removed because the mythomax was causing the poison to the dataset)), then carefully cleaned,
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formatted with Llama 3 chat formatting, and then, tuned across a wide range of roleplay scenarios.
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### What makes MEulysis-Cleaned different?
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- **22,000 entries** of synthetic RP data generated from multiple frontier RP models
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- removed mythomax which caused early eos terminations and some... quality issue removal
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- Wide RP focus covering diverse character types, settings, and narrative styles
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- Includes **MOST ELABORATE EXPERIENCES** to **MOST TABOO SCENARIOS**
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- Clear formatting guidance baked into the data β proper use of `"dialogue"` and `*actions*`
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- Now includes **Llama 3 chat** formatting to maximize quality on Llama models we'll release!
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- Fully cleaned and curated for quality and consistency
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# Training Details
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- **Finetuning Tool:** Unsloth AI + Huggingface TRL(we uses our brand new **Kaggle Extenderizer** to extend training without starting from scratch)
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- **Training Platform:** Kaggle Free Tier with T4 x2!
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- **Epochs:** 3
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- **Final Training Loss:** 1.2
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- **Dataset:** MEulysis-Cleaned-formatted
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- **MrgrtV2-3B** is Our Brand New Powerful Model, If you ever encountered any issue, Want to commission us, or have any suggestions, please email us directly through
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[nexus.networkinteractives@gmail.com](mailto:nexus.networkinteractives@gmail.com)
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we value any reports, suggestions to how we improve future Model,
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Once again feel free to finetune the model to your likings, However please consider Adding this Page
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for **CREDITS**
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- Please handle the AI with Care and ethical considerations, when **FINETUNING** this AI model, due to its **UNCENSORED** Nature.
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- We are not responsible for what this model generates. Use it responsibly and legally. You downloaded it, you own what you do with it.
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---
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# What's Coming Next?
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> π **V3 will released with better support for more OPEN ROLEPLAY SCENARIOS**
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> Right now the ai model is somewhat bad with Open roleplay, however we'll do our best to release the V3 with better improvements!
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> π **8B variant to be released soon!**
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> Due to this cleanup, we can conclude that the 8B model will be better than the previous V1! we'll take our time releasing the next 8B variant!
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> π **1B variant to be released**
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> Experimental 1B variant with the same training methodology will be released following 4B, this is **EXTREMELY EXPERIMENTAL**, 1B are not good for Roleplaying
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> however we share them nonetheless!
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> π **Release PEFT Soon**
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> New PEFT releases of the model, will now be released late. Supporters on our Ko-fi can however request for the PEFT(through gmail) if they ever want to!
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> (This is to thank our Ko-fi supporters!)
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[](https://ko-fi.com/J3J61D8NHV)
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> Benchmarks are also in the pipeline and will be added once available.
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---
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# Notices & Usage Tips
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- **Use Llama 3 format** β the model is based on Llama 3, Soooooo using Llama 3 works best!.
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- **Calibrate per character card** β every character is different, adjust your prompt, Model's settings(ie, temps, Top-K etc.) accordingly. However
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We recommend(if you're using koboldcpp), to use DynaTemp with Dynamic Min as 0.60 and Dynamic max as 2.00.
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That's the setting we found to make the model more coherent, less hallucination whilst making the model adventurous!
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---
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# About
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- **MrgrtV2-3B** is
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- **Developed by:** N-Bot-Int
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- **License:** agpl 3.0
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- **Finetuned from model :** huihui-ai/Llama-3.2-3B-Instruct-abliterated
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- # Detail card:
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- Parameter
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- 3 Billion Parameters
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- (Please check your GPU Core, VRAM, CPU and RAM to see if you can comfortably run 3B models)
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- Finetuning tool:
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- Unsloth AI
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- This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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- Fine-tuned Using:
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- Kaggle Free Tier with T4 x2 for 4 Weeks
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