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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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  <!-- 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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  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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  <!-- 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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- ### 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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- ## More Information [optional]
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- ## Model Card Authors [optional]
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- ## Model Card Contact
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  library_name: transformers
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+ license: llama3.1
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+ datasets:
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+ - QuasarResearch/apollo-preview-v0.4
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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  ---
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+ # Model Card for Locutusque/Apollo-0.4-Llama-3.1-8B
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  <!-- Provide a quick summary of what the model is/does. -->
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  <!-- Provide a longer summary of what this model is. -->
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+ Fine-tuned Llama-3.1-8B on QuasarResearch/apollo-preview-v0.4. Results in a decent roleplaying language model, that isn't dumb.
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+ - **Developed by:** Locutusque
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+ - **Model type:** Llama3.1
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+ - **Language(s) (NLP):** English
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+ - **License:** Llama 3.1 Community License Agreement
 
 
 
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  ### Model Sources [optional]
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  <!-- Provide the basic links for the model. -->
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+ - **Demo:** https://huggingface.co/spaces/Locutusque/Locutusque-Models
 
 
 
 
 
 
 
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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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+ RP/ERP, instruction following, conversation, etc
 
 
 
 
 
 
 
 
 
 
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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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+ This model is completely uncensored - use at your own risk.
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  ### Recommendations
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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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  ## Training Details
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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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+ [QuasarResearch/apollo-preview-v0.4](https://huggingface.co/datasets/QuasarResearch/apollo-preview-v0.4)
 
 
 
 
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  #### Training Hyperparameters
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+ - **Training regime:** bf16 non-mixed precision
 
 
 
 
 
 
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  ## Evaluation
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+ | Tasks |Version|Filter|n-shot| Metric | | Value | |Stderr|
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+ |---------------------------------|------:|------|-----:|-----------------|---|-------:|---|-----:|
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+ |agieval_nous | 0.0|none | |acc_norm |↑ | 0.3833|± |0.0094|
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+ | - agieval_aqua_rat | 1.0|none | 0|acc |↑ | 0.2598|± |0.0276|
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+ | | |none | 0|acc_norm |↑ | 0.2323|± |0.0265|
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+ | - agieval_logiqa_en | 1.0|none | 0|acc |↑ | 0.3825|± |0.0191|
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+ | | |none | 0|acc_norm |↑ | 0.3856|± |0.0191|
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+ | - agieval_lsat_ar | 1.0|none | 0|acc |↑ | 0.1913|± |0.0260|
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+ | | |none | 0|acc_norm |↑ | 0.1826|± |0.0255|
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+ | - agieval_lsat_lr | 1.0|none | 0|acc |↑ | 0.4216|± |0.0219|
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+ | | |none | 0|acc_norm |↑ | 0.4216|± |0.0219|
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+ | - agieval_lsat_rc | 1.0|none | 0|acc |↑ | 0.5613|± |0.0303|
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+ | | |none | 0|acc_norm |↑ | 0.5056|± |0.0305|
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+ | - agieval_sat_en | 1.0|none | 0|acc |↑ | 0.6553|± |0.0332|
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+ | | |none | 0|acc_norm |↑ | 0.6068|± |0.0341|
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+ | - agieval_sat_en_without_passage| 1.0|none | 0|acc |↑ | 0.3835|± |0.0340|
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+ | | |none | 0|acc_norm |↑ | 0.3738|± |0.0338|
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+ | - agieval_sat_math | 1.0|none | 0|acc |↑ | 0.4136|± |0.0333|
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+ | | |none | 0|acc_norm |↑ | 0.3227|± |0.0316|
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+ |arc_challenge | 1.0|none | 0|acc |↑ | 0.5179|± |0.0146|
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+ | | |none | 0|acc_norm |↑ | 0.5580|± |0.0145|
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+ |eq_bench | 2.1|none | 0|eqbench |↑ | 63.1277|± |2.3905|
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+ | | |none | 0|percent_parseable|↑ |100.0000|± |0.0000|
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+ |truthfulqa_mc2 | 2.0|none | 0|acc |↑ | 0.5310|± |0.0150|