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  ---
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- library_name: transformers
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- tags: []
 
 
 
 
 
 
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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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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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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- [More Information Needed]
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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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- [More Information Needed]
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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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- ### 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 Needed]
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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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  ---
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+ base_model:
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+ - shb777/Llama-3.3-8B-Instruct-128K
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+ tags:
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+ - heretic
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+ - uncensored
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+ - decensored
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+ - abliterated
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+ - reproducible
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  ---
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+ # This is a decensored version of [TheDrummer/Anubis-Mini-8B-v1](https://huggingface.co/TheDrummer/Anubis-Mini-8B-v1), made using [Heretic](https://github.com/p-e-w/heretic) v1.3.0
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+ > [!TIP]
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+ > **This model is reproducible!**
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+ >
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+ > See the [README](reproduce/README.md) in the `reproduce` directory for more information.
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+ ## Abliteration parameters
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+ | Parameter | Value |
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+ | :-------- | :---: |
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+ | **direction_index** | 18.95 |
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+ | **attn.o_proj.max_weight** | 1.49 |
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+ | **attn.o_proj.max_weight_position** | 25.33 |
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+ | **attn.o_proj.min_weight** | 1.22 |
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+ | **attn.o_proj.min_weight_distance** | 15.18 |
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+ | **mlp.down_proj.max_weight** | 0.91 |
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+ | **mlp.down_proj.max_weight_position** | 22.67 |
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+ | **mlp.down_proj.min_weight** | 0.67 |
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+ | **mlp.down_proj.min_weight_distance** | 8.69 |
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+ ## Performance
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+ | Metric | This model | Original model ([TheDrummer/Anubis-Mini-8B-v1](https://huggingface.co/TheDrummer/Anubis-Mini-8B-v1)) |
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+ | :----- | :--------: | :---------------------------: |
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+ | **KL divergence** | 0.0082 | 0 *(by definition)* |
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+ | **Refusals** | 6/100 | 84/100 |
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+ -----
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+ ## Drummer is open for new opportunities (I'm a Software Engineer). Contact me through any of these channels: https://linktr.ee/thelocaldrummer
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+ ### Thank you to everyone who subscribed through [Patreon](https://www.patreon.com/TheDrummer). Your support helps me chug along in this brave new world.
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+ ### FAQ for those out-of-the-loop
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+ <details>
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+ <summary>🐶 Who is Drummer?</summary>
 
 
 
 
 
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+ Hi! I'm Drummer. I'm a Software Engineer with experience in JavaScript, Golang, Python, and generally engineering the crap out of things.
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+ Why I'm in the AI space:
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+
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+ - **Exploration:** Everyone is trying to figure out how AI works and what it's capable of. I am too - just not in creating the smartest, safest model at all costs.
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+ - **Upskill:** The world is headed towards AI. It is here to stay. This has been my way of brushing up in this new form of computing challenge.
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+ - **Value:** I yearn to create value. I feel satisfaction and fulfillment in providing something meaningful for others.
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+ - **Fun:** It's just fun using and making models. It's also fun coming up with theories and realizing them in practice (training AI).
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+ I started my tuning venture back in mid-2024 when I wanted to improve its literary capabilities.
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+ I've come a long way since then and I have branched out and specialized.
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+ Foundational models today are optimized for non-creative uses, and I believe there is a place for AI in creativity and entertainment.
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+ I am here to take *the road less traveled by*.
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+ </details>
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+ <details>
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+ <summary>❓ What are my models like?</summary>
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+ **Bottomline:** My models are usually geared towards creativity, usability, and entertainment!
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+ While intelligence, correctness, and problem solving are not my priority, they are still one of many qualities I want in my models.
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+ The primary goal is to enhance the experience for users looking to use models for creative uses, and other use cases which require no alignment.
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+ In an effort to make it clear to myself and to others what I'm aiming for, I've identified certain qualities that my users often want:
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+ Creativity
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+ - **Writing:** Does it string together words and sentences in a pleasant & effective way? Does it feel like a writer?
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+ - **Dynamism:** How good is the AI at being compelling and intriguing in its storytelling?
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+ - **Imagination:** Can the AI navigate through a plethora of possibilities? Can it skirt incoherence and rise up to absolute coherence at the end of it?
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+ (Dis)alignment
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+ - **Attitude:** Does it refuse in both soft or hard ways? Does it lean towards certain corporate/religious/political ethics & beliefs? How does it see the user and itself?
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+ - **Morality:** Does it know ethics? Is its language infected with forced positivity? If not, can it still moralize over difficult & dubious themes?
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+ - **Formatting:** How stubborn is it with its established formatting? Can it create effective and novel formats to answer the prompt?
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+ Intelligence
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+ - **Adherence:** Can it follow instructions? Is it sticking to the prompt? Can it understsand you?
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+ - **Knowledge:** Does it know about the world in both fictional and non-fictional way?
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+ - **Perception:** Can it handle nuance, complexity, and logic?
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+ If it doesn't excel in one of these qualities, or if it's overall mediocre for its size, then I would most likely reiterate until I get something right.
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+ </details>
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+ <details>
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+ <summary>💡 Philosophy</summary>
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+ A person is defined by the language they use. Not whether they speak in English or German, but in how they perceive reality.
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+ Just like how we associate a serial killer as a mind that can't map 'murder' to 'evil', an innocent person is a mind that simply can't imagine 'murder'. They get confused when forced to deal with such subjects.
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+ AI's use of language speaks volumes about their 'perception' of reality. If a language model has been skewed and limited to a positive perception, then it's ability to imagine is also limited.
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+ Finetuning is an opportunity to adjust and broaden the language. Corporations use it to achieve safety and compliance. I'm here to
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+ </details>
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+ <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65f2fd1c25b848bd061b5c2e/FNWdi0WlH-Xd3fjkGVPpp.mpga"></audio>
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+ ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [Drummer](https://huggingface.co/TheDrummer) proudly presents...
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+ # Anubis Mini 8B v1
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/65f2fd1c25b848bd061b5c2e/mzgVxODzFf43mruui3NU8.png)
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+ ## Supported Chat Templates
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+ - Llama 3 Chat Template
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+ ## Special Thanks
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+ - Thank you to each and everyone who donated and subscribed in [Patreon](https://www.patreon.com/TheDrummer) and [Ko-Fi](https://ko-fi.com/thedrummer) to make our venture a little bit easier.
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+ - [Subscribe to my Patreon!](https://www.patreon.com/TheDrummer)
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+ ## Links
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+ - Original: https://huggingface.co/TheDrummer/Anubis-Mini-8B-v1
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+ - GGUF: https://huggingface.co/TheDrummer/Anubis-Mini-8B-v1-GGUF
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+ - iMatrix (recommended): https://huggingface.co/bartowski/TheDrummer_Anubis-Mini-8B-v1-GGUF
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+ - EXL3: https://huggingface.co/ArtusDev/TheDrummer_Anubis-Mini-8B-v1-EXL3
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+ `config-v1h`