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README.md

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-license: apache-2.0
-inference: false
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-**NOTE: This "delta model" cannot be used directly.**  
-Users have to apply it on top of the original LLaMA weights to get actual Vicuna weights.  
-See https://github.com/lm-sys/FastChat#vicuna-weights for instructions.
-<br>
-<br>
-
-# Vicuna Model Card
-
-## Model details
-
-**Model type:**
-Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT.
-It is an auto-regressive language model, based on the transformer architecture.
-
-**Model date:**
-Vicuna was trained between March 2023 and April 2023.
-
-**Organizations developing the model:**
-The Vicuna team with members from UC Berkeley, CMU, Stanford, and UC San Diego.
-
-**Paper or resources for more information:**
-https://vicuna.lmsys.org/
-
-**License:**
-Apache License 2.0
-
-**Where to send questions or comments about the model:**
-https://github.com/lm-sys/FastChat/issues
-
-## Intended use
-**Primary intended uses:**
-The primary use of Vicuna is research on large language models and chatbots.
-
-**Primary intended users:**
-The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.
-
-## Training dataset
-70K conversations collected from ShareGPT.com.
-
-## Evaluation dataset
-A preliminary evaluation of the model quality is conducted by creating a set of 80 diverse questions and utilizing GPT-4 to judge the model outputs. See https://vicuna.lmsys.org/ for more details.
-
-## Major updates of weights v1.1
-- Refactor the tokenization and separator. In Vicuna v1.1, the separator has been changed from `"###"` to the EOS token `"</s>"`. This change makes it easier to determine the generation stop criteria and enables better compatibility with other libraries.
-- Fix the supervised fine-tuning loss computation for better model quality.
+Raven-X-1.1
+---
+Raven-X model v1.1 by Siliconic Technologies.
+Delta model upgradation and 32-bit quantization for raven-x-001.
+This is a custom model for Raven AI.
+This model is a modified version of vicuna-13b-delta and llama model, trained on oasst, chatgpt, sharegpt datasets and wikipedia.
+Created and Fine-tuned by Akshit Kumar.
+Raven AI System is a modified version of Visda AI System.