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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024 - GGUF
+- Model creator: https://huggingface.co/lamm-mit/
+- Original model: https://huggingface.co/lamm-mit/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q2_K.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q2_K.gguf) | Q2_K | 2.54GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.IQ3_XS.gguf) | IQ3_XS | 2.82GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.IQ3_S.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.IQ3_S.gguf) | IQ3_S | 2.97GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.IQ3_M.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.IQ3_M.gguf) | IQ3_M | 3.06GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q3_K.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q3_K.gguf) | Q3_K | 3.28GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.IQ4_XS.gguf) | IQ4_XS | 3.68GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q4_0.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q4_0.gguf) | Q4_0 | 3.83GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q4_K.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q4_K.gguf) | Q4_K | 4.07GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q4_1.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q4_1.gguf) | Q4_1 | 4.24GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q5_0.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q5_0.gguf) | Q5_0 | 4.66GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q5_K_S.gguf) | Q5_K_S | 4.66GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q5_K.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q5_K.gguf) | Q5_K | 4.78GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q5_1.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q5_1.gguf) | Q5_1 | 5.07GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q6_K.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q6_K.gguf) | Q6_K | 5.54GB |
+| [mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q8_0.gguf](https://huggingface.co/RichardErkhov/lamm-mit_-_mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024-gguf/blob/main/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024.Q8_0.gguf) | Q8_0 | 7.17GB |
+
+
+
+
+Original model description:
+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+
+```bibtext
+@article{LuLuuBuehler2024,
+  title={Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities},
+  author={Wei Lu and Rachel K. Luu and Markus J. Buehler},
+  journal={arXiv: https://arxiv.org/abs/2409.03444},
+  year={2024},
+}
+