alberto98fx
/

Mistral-7B-Instruct-v0.1-hh-rlhf-LoRA

Transformers

TensorBoard

Safetensors

Model card Files Files and versions Metrics Training metrics Community

alberto98fx commited on Aug 13, 2024

Commit

e24df72

verified ·

1 Parent(s): 2323e6d

Update README.md

Browse files

Files changed (1) hide show

README.md +20 -182

README.md CHANGED Viewed

@@ -1,199 +1,37 @@
 ---
 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]

 ---
 library_name: transformers
+license: apache-2.0
 ---
+# LoRa checkpoints for: https://huggingface.co/alberto98fx/Mistral-7B-Instruct-v0.1-hh-rlhf
+<hr>
+## Model Overview: Mistral 7B 0.1 Instruct (Fine-tuned with Anthropic RLHF Dataset)
+## Model Description:
+Mistral 7B 0.1 Instruct is a state-of-the-art language model developed by Mistral AI. This model, boasting 7 billion parameters, has been fine-tuned to enhance its instructive capabilities using the Reinforcement Learning from Human Feedback (RLHF) dataset curated by Anthropic. The fine-tuning process has enabled the model to provide more accurate, context-aware, and user-centric responses, making it an invaluable tool for various conversational and instructive applications.
+## Model Ownership:
+Base Model: The Mistral 7B 0.1 Instruct model is the intellectual property of Mistral AI. All rights to the model architecture, weights, and other associated intellectual property are held by Mistral AI.
+Fine-tuning Dataset: The RLHF dataset utilized for fine-tuning this model is owned by Anthropic. All copyrights and rights related to this dataset are retained by Anthropic.
+## Disclaimer:
+This model is provided as-is and I am not responsible for any damage caused by it.
+The responsibility for the model's development and usage lies solely with Mistral AI and Anthropic, the respective copyright holders of the model and the dataset.
+## Use Case and Application:
+The Mistral 7B 0.1 Instruct model is well-suited for a variety of applications, including but not limited to:
+- Conversational AI
+- Instructional content generation
+- Automated customer support
+- Creative writing assistance
+- Given its fine-tuning with the RLHF dataset, the model is particularly adept at understanding nuanced human instructions and generating responses that align closely with user intent.
+For any inquiries regarding the model or the dataset, please contact Mistral AI and Anthropic directly.