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  # WestSeverus - 7B - DPO - v2
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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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- [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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- #### 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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- <!-- 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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  # WestSeverus - 7B - DPO - v2
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64a53b0747a04f0512941b6f/-_CvSGuu-kQ1GDNzVMYjg.png)
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+ ## ☘️ Model Description
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+ WestSeverus-7B-DPO-v2 is a WestLake Family model trained over [WestSeverus-7B](https://huggingface.co/FelixChao/WestSeverus-7B).
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+ The model was trained on several dpo datasets and it can perform well on basic math problem.
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+ WestSeverus-7B-DPO-v2 can be used in mathematics, chemical, physics and even coding for further research and reference.
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+ # 📖 Table of Contents
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+ 1. [Nous Benchmark Results](#🪄-nous-benchmark-results)
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+ - AGIEval
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+ - GPT4All
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+ - TruthfulQA Scores
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+ - BigBench
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+ 2. [Open LLM Leaderboard](#🏆-open-llm-leaderboard)
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+ - ARC
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+ - HellaSwag
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+ - MMLU
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+ - TruthfulQA
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+ - Winogrande
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+ - GSM8K
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+ 3. [EvalPlus Leaderboard](#⚡-evalplus-leaderboard)
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+ - HumanEval
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+ - HumanEval_Plus
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+ - MBPP
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+ - MBPP_Plus
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+ 4. [Prompt Format](#prompt-format)
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+ 5. [Inference Example Code](#inference-code)
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+ 6. [Quantized Models](#🛠️-quantized-models)
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+ 7. [Gratitude](#Gratitude)
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+ ## 🪄 Nous Benchmark Results
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+ WestSeverus-7B-DPO-v2 is currently on the top of the [YALL - Yet Another LLM Leaderboard](https://huggingface.co/spaces/CultriX/Yet_Another_LLM_Leaderboard) created by CultriX and it outperforms on TruthfulQA Scores and BigBench.
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+ | Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench |
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+ |---|---:|---:|---:|---:|---:|
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+ | [**WestSeverus-7B-DPO-v2**](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2)| **60.98**| 45.29 | 77.2| **72.72**| **48.71**|
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+ | [CultriX/Wernicke-7B-v1](https://huggingface.co/CultriX/Wernicke-7B-v1)| 60.73| 45.59 | 77.36 | 71.46 | 48.49 |
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+ | [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B) | 60.25 |46.06|76.77 | 70.32 |47.86 |
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+ | [CultriX/MistralTrix-v1](https://huggingface.co/CultriX/MistralTrix-v1) | 60.05 | 44.98 | 76.62 | 71.44 | 47.17 |
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+ | [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) | 59.42 | 44.27 | 77.86 | 67.46 | 48.09 |
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+ | [mlabonne/Daredevil-7B](https://huggingface.co/mlabonne/Daredevil-7B) | 58.22 | 44.85 | 76.07 | 64.89 | 47.07 |
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+ | [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) | 44.61 | 27.96 | 70.84 | 44.46 | 35.17 |
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+ ## 🏆 Open LLM Leaderboard
 
 
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+ WestSeverus-7B-DPO-v2 is one of the top 7B model in Open LLM Leaderboard and it outperforms on TruthfulQA and GSM8K.
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |75.29|
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+ |AI2 Reasoning Challenge (25-Shot)|71.42|
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+ |HellaSwag (10-Shot) |88.27|
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+ |MMLU (5-Shot) |64.79|
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+ |TruthfulQA (0-shot) |72.37|
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+ |Winogrande (5-shot) |83.27|
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+ |GSM8k (5-shot) |71.65|
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_FelixChao__WestSeverus-7B-DPO-v2)
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+ ## EvalPlus Leaderboard
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+ | Model | HumanEval | HumanEval_Plus| MBPP | MBPP_Plus |
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+ |---|---:|---:|---:|---:|
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+ | phi-2-2.7B |48.2|43.3|61.9|51.4|
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+ | **WestSeverus-7B-DPO-v2**| 43.3 | 34.1 |TBD |TBD |
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+ | SOLAR-10.7B-Instruct-v1.0 | 42.1 | 34.3 | 42.9 | 34.6 |
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+ | CodeLlama-7B| 37.8| 34.1 | 57.6 |45.4 |
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64a53b0747a04f0512941b6f/ckaLICCp_npj64mvxY1yj.png)
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+ ## Prompt_Format
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+ TBD.
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+ ## Inference Example Code
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+ TBD.
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+ ## 🛠️ Quantized Models
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+ ### Another version of WestSeverus Model:
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+ * [**PetroGPT/WestSeverus-7B-DPO**](https://huggingface.co/PetroGPT/WestSeverus-7B-DPO)
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+ * **GGUF**: https://huggingface.co/TheBloke/WestSeverus-7B-DPO-GGUF
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+ * **GGUF**: https://huggingface.co/s3nh/WestSeverus-7B-DPO-GGUF
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+ * **GPTQ**: https://huggingface.co/TheBloke/WestSeverus-7B-DPO-GPTQ
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+ * **AWQ**: https://huggingface.co/TheBloke/WestSeverus-7B-DPO-AWQ
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+ ## Gratitude
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+ TBD.