Valmiki Ramayana - 1st Chapter Chat Model

This model is fine-tuned on the first chapter of the Valmiki Ramayana, which contains the foundational aspects of the epic, including key events, characters, and teachings. It leverages the ancient knowledge and wisdom of this revered text, enabling it to engage in meaningful conversations about the first chapter's content. Whether you're seeking insights into the epic's characters, understanding its deeper lessons, or simply exploring the historical context, this model is designed to provide detailed, context-aware responses. It can answer questions, summarize sections, and discuss themes from the Ramayana’s first chapter in a conversational style, offering an interactive experience for those interested in this sacred text.

Model Details

Model Description

  • Developed by: Chitranshu Harbola
  • Funded by [optional]: AIGuruKul
  • 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]: Llama2-7B-chat-hf

Model Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

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

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • 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]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]

Framework versions

  • PEFT 0.13.2
Downloads last month
83
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for chitranshu324324/llama7b-chat-ramayana

Adapter
(1079)
this model