neural-bridge
/

Rago-v2-13b

@@ -9,7 +9,7 @@ tags:
 - retrieval-augmented-generation
 ---
 # **Rago v2 13B**
-**Rago v2 13B is a [Llama 2 13B](https://huggingface.co/meta-llama/Llama-2-13b-hf)-based retrieval-augmented generation-optimized model built by [Neural Bridge AI](https://www.neuralbridge.ai/) and trained on [RAG Full Dataset 20000](https://huggingface.co/datasets/neural-bridge/rag-full-20000). It is available under [Apache license 2.0](https://www.apache.org/licenses/LICENSE-2.0.html).**
 ## **Model Description**
 Rago v2 13B model is a retrieval-augmented generation-optimized (RAGO) model, which enhances large language models by integrating an external authoritative knowledge base (context) for generating responses. This integration significantly improves the model's ability to produce relevant, accurate, and context-specific output across specialized domains or internal data without necessitating retraining. It addresses key challenges of large language models (LLMs), such as unpredictability, reliance on potentially outdated data, and the propagation of incorrect information, thereby improving user trust in AI applications. Rago v2 13B, specifically, is an advancement built upon the [Llama 2 13B](https://huggingface.co/meta-llama/Llama-2-13b-hf) model, optimized for retrieval-augmented generation, making it particularly effective in contextually aware response generation.
@@ -82,6 +82,6 @@ Rago v2 13B benefits from a custom data collator designed to boost model perform
 | Rago v2 7B  |  [link](https://huggingface.co/neural-bridge/Rago-v2-7b)  | [Llama 2 7B](https://huggingface.co/meta-llama/Llama-2-7b-hf)
 | Rago v2 13B |  [link](https://huggingface.co/neural-bridge/Rago-v2-13b) | [Llama 2 13B](https://huggingface.co/meta-llama/Llama-2-13b-hf)
-## **Licence**
-This public extract is made available under [Apache licence 2.0](https://www.apache.org/licenses/LICENSE-2.0.html). Users should also abide to the [Llama 2 13B](https://huggingface.co/meta-llama/Llama-2-13b-hf) ToU.

 - retrieval-augmented-generation
 ---
 # **Rago v2 13B**
+**Rago v2 13B is a 13B parameter retrieval-augmented generation-optimized model built by [Neural Bridge AI](https://www.neuralbridge.ai/) and trained on [RAG Full Dataset 20000](https://huggingface.co/datasets/neural-bridge/rag-full-20000). It is available under [Apache license 2.0](https://www.apache.org/licenses/LICENSE-2.0.html).**
 ## **Model Description**
 Rago v2 13B model is a retrieval-augmented generation-optimized (RAGO) model, which enhances large language models by integrating an external authoritative knowledge base (context) for generating responses. This integration significantly improves the model's ability to produce relevant, accurate, and context-specific output across specialized domains or internal data without necessitating retraining. It addresses key challenges of large language models (LLMs), such as unpredictability, reliance on potentially outdated data, and the propagation of incorrect information, thereby improving user trust in AI applications. Rago v2 13B, specifically, is an advancement built upon the [Llama 2 13B](https://huggingface.co/meta-llama/Llama-2-13b-hf) model, optimized for retrieval-augmented generation, making it particularly effective in contextually aware response generation.
 | Rago v2 7B  |  [link](https://huggingface.co/neural-bridge/Rago-v2-7b)  | [Llama 2 7B](https://huggingface.co/meta-llama/Llama-2-7b-hf)
 | Rago v2 13B |  [link](https://huggingface.co/neural-bridge/Rago-v2-13b) | [Llama 2 13B](https://huggingface.co/meta-llama/Llama-2-13b-hf)
+## **License**
+This public extract is made available under [Apache license 2.0](https://www.apache.org/licenses/LICENSE-2.0.html). Users should also abide to the [Llama 2 13B](https://huggingface.co/meta-llama/Llama-2-13b-hf) ToU.