Intel
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neural-chat-7b-v1-1

Text Generation

text-generation-inference

Inference Endpoints

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Haihao commited on Jul 19, 2023

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 This model is a fine-tuned model for Chat based on [mosaicml/mpt-7b](https://huggingface.co/mosaicml/mpt-7b) with **max_seq_lenght=2048** on the [instruction-dataset-for-neural-chat-v1](https://huggingface.co/datasets/Intel/neural-chat-dataset-v1), [databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k), [HC3](https://huggingface.co/datasets/Hello-SimpleAI/HC3) and [oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) dataset.
 ## Model date
-Neural-chat-7b-v1.1 was trained on July 6, 2023.
 ## Evaluation
 We use the same evaluation metrics as [open_llm_leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) which uses [Eleuther AI Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness/tree/master), a unified framework to test generative language models on a large number of different evaluation tasks.

 This model is a fine-tuned model for Chat based on [mosaicml/mpt-7b](https://huggingface.co/mosaicml/mpt-7b) with **max_seq_lenght=2048** on the [instruction-dataset-for-neural-chat-v1](https://huggingface.co/datasets/Intel/neural-chat-dataset-v1), [databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k), [HC3](https://huggingface.co/datasets/Hello-SimpleAI/HC3) and [oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) dataset.
 ## Model date
+Neural-chat-7b-v1.1 was trained between June and July 2023.
 ## Evaluation
 We use the same evaluation metrics as [open_llm_leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) which uses [Eleuther AI Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness/tree/master), a unified framework to test generative language models on a large number of different evaluation tasks.