commit 077c981ed27a18734fee975d98103212ad74eceb
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Thu Jun 18 11:57:18 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: N-Bot-Int/MrgrtV2-3B-merged
    Source: Original Platform

diff --git a/.gitattributes b/.gitattributes
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diff --git a/README.md b/README.md
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+---
+base_model:
+- huihui-ai/Llama-3.2-3B-Instruct-abliterated
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- Uncensored
+- trl
+- roleplay
+- conversational
+license: agpl-3.0
+language:
+- en
+pipeline_tag: text-generation
+datasets:
+- N-Bot-Int/RP-Mixed-v1
+library_name: transformers
+---
+# MrgrtV2-3B is OFFICIALLY RELEASED!
+![image](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/GIpxSiz58X29uP8WbuJWe.png)
+
+# MrgrtV2-3B, rebalanced, cleaned and fixed than previous version!
+- 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 
+it were trained, leading to the model having insane early <|eos_token|> even though the roleplay is still not yet finished.
+- 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!
+and the early issues were simply the poison that killed the quality of V1 Models!
+**THEREFORE THIS MODEL IS PURELY A FIX TO THE PREVIOUS V1 MODEL! HOWEVER THE QUALITY IS INSANELY, NIGHT AND DAY!**
+  
+*READ MORE FOR MORE INFO*
+3 BILLIONS PARAMS MODEL
+
+# MrgrtV2-3B Model Procedure/Methodology:
+- MrgrtV2-3B is trained Using **HuiHui-Ai's** Llama 3.2 3B instruct abliterated Model, 
+  ensuring full creative flow without refusal!
+
+  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!
+
+- **MEulysis-Cleaned-formatted** — a 22 entry synthetically generated dataset produced using
+multiple capable RP models (including Hermes(mythomax were removed because the mythomax was causing the poison to the dataset)), then carefully cleaned,
+formatted with Llama 3 chat formatting, and then, tuned across a wide range of roleplay scenarios.
+
+### What makes MEulysis-Cleaned different?
+- **22,000 entries** of synthetic RP data generated from multiple frontier RP models
+- removed mythomax which caused early eos terminations and some... quality issue removal
+- Wide RP focus covering diverse character types, settings, and narrative styles
+- Includes **MOST ELABORATE EXPERIENCES** to **MOST TABOO SCENARIOS**
+- Clear formatting guidance baked into the data — proper use of `"dialogue"` and `*actions*`
+- Now includes **Llama 3 chat** formatting to maximize quality on Llama models we'll release!
+- Fully cleaned and curated for quality and consistency
+
+# Training Details
+- **Finetuning Tool:** Unsloth AI + Huggingface TRL(we uses our brand new **Kaggle Extenderizer** to extend training without starting from scratch)
+- **Training Platform:** Kaggle Free Tier with T4 x2!
+- **Epochs:** 3
+- **Final Training Loss:** 1.2
+- **Dataset:** MEulysis-Cleaned-formatted
+
+
+- **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
+  [nexus.networkinteractives@gmail.com](mailto:nexus.networkinteractives@gmail.com)
+  we value any reports, suggestions to how we improve future Model,
+  Once again feel free to finetune the model to your likings, However please consider Adding this Page
+  for **CREDITS**
+
+- Please handle the AI with Care and ethical considerations, when **FINETUNING** this AI model, due to its **UNCENSORED** Nature.
+- We are not responsible for what this model generates. Use it responsibly and legally. You downloaded it, you own what you do with it.
+
+---
+
+# What's Coming Next?
+
+> 🔒 **V3 will released with better support for more OPEN ROLEPLAY SCENARIOS**  
+> Right now the ai model is somewhat bad with Open roleplay, however we'll do our best to release the V3 with better improvements!
+
+> 🔒 **8B variant to be released soon!**
+> 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!
+
+> 🔒 **1B variant to be released**
+> Experimental 1B variant with the same training methodology will be released following 4B, this is **EXTREMELY EXPERIMENTAL**, 1B are not good for Roleplaying
+> however we share them nonetheless!
+
+> 🔒 **Release PEFT Soon**
+> 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!
+> (This is to thank our Ko-fi supporters!)
+[![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/J3J61D8NHV)
+
+> Benchmarks are also in the pipeline and will be added once available.
+---
+
+# Notices & Usage Tips
+
+- **Use Llama 3 format** — the model is based on Llama 3, Soooooo using Llama 3 works best!.
+- **Calibrate per character card** — every character is different, adjust your prompt, Model's settings(ie, temps, Top-K etc.) accordingly. However
+  We recommend(if you're using koboldcpp), to use DynaTemp with Dynamic Min as 0.60 and Dynamic max as 2.00.
+  That's the setting we found to make the model more coherent, less hallucination whilst making the model adventurous!
+---
+
+# About
+- **MrgrtV2-3B** is
+  - **Developed by:** N-Bot-Int
+  - **License:** agpl 3.0
+  - **Finetuned from model :** huihui-ai/Llama-3.2-3B-Instruct-abliterated
+
+- # Detail card:
+  - Parameter
+    - 3 Billion Parameters
+    - (Please check your GPU Core, VRAM, CPU and RAM to see if you can comfortably run 3B models)
+
+- Finetuning tool:
+   - Unsloth AI
+    - This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+    [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+   - Fine-tuned Using:
+    - Kaggle Free Tier with T4 x2 for 4 Weeks
\ No newline at end of file
diff --git a/chat_template.jinja b/chat_template.jinja
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+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- if strftime_now is defined %}
+        {%- set date_string = strftime_now("%d %b %Y") %}
+    {%- else %}
+        {%- set date_string = "26 Jul 2024" %}
+    {%- endif %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+        {{- '{"name": "' + tool_call.name + '", ' }}
+        {{- '"parameters": ' }}
+        {{- tool_call.arguments | tojson }}
+        {{- "}" }}
+        {{- "<|eot_id|>" }}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}
diff --git a/config.json b/config.json
new file mode 100644
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--- /dev/null
+++ b/config.json
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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "bfloat16",
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_theta": 500000.0,
+    "rope_type": "llama3"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.10.1",
+  "use_cache": true,
+  "vocab_size": 128256
+}
diff --git a/generation_config.json b/generation_config.json
new file mode 100644
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--- /dev/null
+++ b/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "5.10.1"
+}
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diff --git a/tokenizer_config.json b/tokenizer_config.json
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