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- base_model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
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- library_name: peft
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- # Model Card for Model ID
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- <!-- Provide a quick summary of what the model is/does. -->
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- ## Model Details
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- ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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- ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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- ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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- [More Information Needed]
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- ## Training Details
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- ### Training Data
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- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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- ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- [More Information Needed]
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- [More Information Needed]
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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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- ## Citation [optional]
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
 
 
 
 
 
 
 
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- **APA:**
 
 
 
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- ## Glossary [optional]
 
 
 
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- ## More Information [optional]
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- ## Model Card Authors [optional]
 
 
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- ## Model Card Contact
 
 
 
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- [More Information Needed]
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- ### Framework versions
 
 
 
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- - PEFT 0.14.0
 
 
 
 
 
 
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  ---
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+ license: apache-2.0
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+ tags:
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+ - mistral
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+ - Uncensored
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+ - text-generation-inference
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+ - transformers
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+ - unsloth
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+ - trl
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+ - roleplay
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+ - conversational
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+ - rp
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+ datasets:
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+ - N-Bot-Int/Iris-Uncensored-R1
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+ - N-Bot-Int/Moshpit-Combined-R2-Uncensored
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+ - N-Bot-Int/Mushed-Dataset-Uncensored
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+ - N-Bot-Int/Muncher-R1-Uncensored
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+ - unalignment/toxic-dpo-v0.2
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+ language:
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+ - en
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+ base_model:
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+ - unsloth/mistral-7b-instruct-v0.3-bnb-4bit
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+ pipeline_tag: text-generation
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+ library_name: transformers
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+ metrics:
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+ - character
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  ---
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/kR8JIdSZl9x9RCUeqg1ZW.png)
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+ # Official Quants are Uploaded By Us
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+ - [MistThena7BV2-GGUF](https://huggingface.co/N-Bot-Int/MistThena7BV2-GGUF)
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+
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+ # Support us on Ko-Fi!
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+ - [![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/J3J61D8NHV)
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+
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+ # MistThena7B - V2.
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+ - Introducing our Mindboggling MistThena7B **V2**, This Version Offer an Upgraded RP experience, beyond Other AI model
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+ We've made, Outcompetting our 3B, 1B, MythoMax, Deepseek and Hermes for Roleplaying!
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+
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+ - **MistThena7B-V2** Offer an expanded Roleplay capabilities, using our EmojiEmulsifyer Program to Train MistThena7B
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+ To Use Emojis, expanding the Roleplaying Immersiveness and Actionsets MistThena7B can do!
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+
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+ - Activate MistThena's Expanded Actions, by mirroring it(ie using Emoji on your own prompts), to ensure MistThena's
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+ Use of Emoji or Actions!
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+
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+ - MistThena7B contains more Fine-tuned Dataset so please Report any issues found through our email
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+ [nexus.networkinteractives@gmail.com](mailto:nexus.networkinteractives@gmail.com)
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+ about any overfitting, or improvements for the future Model **V3**,
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+ Once again feel free to Modify the LORA to your likings, However please consider Adding this Page
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+ for credits and if you'll increase its **Dataset**, then please handle it with care and ethical considerations
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+
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+ - MistThena is
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+ - **Developed by:** N-Bot-Int
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+ - **License:** apache-2.0
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+ - **Finetuned from model:** unsloth/mistral-7b-instruct-v0.3-bnb-4bit
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+ - **Sequential Trained from Model:** N-Bot-Int/OpenElla3-Llama3.2A
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+ - **Dataset Combined Using:** Mosher-R1(Propietary Software)
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+
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+ - Comparison Metric Score
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/UV2z1eygZ38Pa710Bjbf3.png)
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+ - Metrics Made By **ItsMeDevRoland**
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+ Which compares:
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+ - **MistThena7B-V1**
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+ - **MistThena7B-V2 : 60 STEP VERSION**
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+ Which are All Ranked with the Same Prompt, Same Temperature, Same Hardware(Google Colab),
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+ To Properly Showcase the differences and strength of the Models
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+ ---
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+ # 🌀 MistThema-7B V2: Slower Beats, Stronger Bonds — A Roleplay Revival
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+ > "She may not win the speed race, but when it comes to presence and performance — she owns the stage."
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/d27tdTbSyTopKL5pAn_bA.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/-IxmfIDUJkkNPhYNDl8xB.png)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ # MistThema-7B V2 isn’t just an upgrade — she’s a reinvention. Built on V1’s storytelling roots, V2 shifts her focus inward: longer scenes, deeper characters, and dialogue that breathes.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/24kHzq3gksyL2Of0RuwgI.png)
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+ - 💬 **Roleplay Evaluation**
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+ - ✍️ **Length Score**: 0.34 → **1.00** (🚀)
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+ - 🧠 **Character Consistency**: 0.20 → **0.53**
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+ - 🌌 **Immersion**: 0.00 → **0.47**
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+ - 🎭 **Overall RP Score**: 0.17 → **0.67**
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+ > She no longer just responds — she *inhabits*. MistThema-7B V2 is the method actor of models, channeling roles with vivid coherence and creative depth.
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+ ---
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+ # ⚙️ The Cost of Craft: Time for Thought
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+ - 🕒 **Inference Time**: 114s → **179s** (↑)
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+ - ⚡ **Tokens/sec**: 1.51 → **1.28** (↓)
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+ > Yes, she’s slower — but that’s not a bug. That’s intention. Every word is more considered, every output more deliberate.
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+ ---
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+ # 📏 Traditional Metrics? A Trade-off
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+ - 📘 **BLEU Score**: 0.43 → **0.18**
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+ - 📕 **ROUGE-L**: 0.60 → **0.32**
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+ > While V1 outperforms on surface-level matching, V2 is optimized for *experiential fidelity*, not rigid overlap.
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+ ---
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+ # 🎯 Reimagined for Realness
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+ MistThema-7B V2 isn’t trying to mimic — she’s trying to *immerse*. Designed to tell stories, embody roles, and hold character in long-form exchanges.
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+ - 🧩 Tailored for:
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+ - Narrative-heavy use cases
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+ - Emotional continuity and consistency
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+ - Richer, longer interactions
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+ ---
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+ > “MistThema-7B V2 trades benchmarks for believability. Less about matching — more about meaning. Less polished — more *present*.”
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+ # MistThema-7B V2 is where slower feels *stronger*.
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+ ---
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+ - # Notice
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+ - **For a Good Experience, Please use**
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+ - Low temperature 1.5, min_p = 0.1 and max_new_tokens = 128
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+ - # Detail card:
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+ - Parameter
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+ - 7 Billion Parameters
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+ - (Please visit your GPU Vendor if you can Run 7B models)
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+ - Training
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+ - 250 Steps
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+ - N-Bot-Int/Iris_Uncensored_R2
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+ - 60 Steps
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+ - N-Bot-Int/Millie_DPO
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+ - Finetuning tool:
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+ - Unsloth AI
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+ - This mistral 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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+ - Google Colab