NumbersStation/nsql-llama-2-7B · Hugging Face
huggingface.co
NumbersStation/nsql-llama-2-7B · Hugging Face
AI That Quacks: Introducing DuckDB-NSQL-7B, A LLM for DuckDB2024/01/25BY Till Döhmen and Jordan TiganiSubscribe to MotherDuck BlogE-mailAlso subscribe to other MotherDuck updatesSubmitWhat does a database have to do with AI, anyway?After a truly new technology arrives, it makes the future a lot harder to predict. The one thing you can be sure of is... See more
Till Döhmen • AI That Quacks: Introducing DuckDB-NSQL-7B, A LLM for DuckDB
Llama 2 - Resource Overview - Meta AI
ai.meta.com
GitHub - mit-han-lab/streaming-llm: Efficient Streaming Language Models with Attention Sinks
mit-han-labgithub.comSupported Models
Suggest Edits
Where possible, we try to match the Hugging Face implementation. We are open to adjusting the API, so please reach out with feedback regarding these details.
Model
Context Length
Model Type
codellama-34b-instruct
16384
Chat Completion
llama-2-70b-chat
4096
Chat Completion
mistral-7b-instruct
4096 [1]
Chat Completion
pplx-7b-c... See more
Suggest Edits
Where possible, we try to match the Hugging Face implementation. We are open to adjusting the API, so please reach out with feedback regarding these details.
Model
Context Length
Model Type
codellama-34b-instruct
16384
Chat Completion
llama-2-70b-chat
4096
Chat Completion
mistral-7b-instruct
4096 [1]
Chat Completion
pplx-7b-c... See more
Supported Models
StreamingLLM can enable Llama-2, MPT, Falcon, and Pythia to perform stable and efficient language modeling with up to 4 million tokens and more.
mit-han-lab • GitHub - mit-han-lab/streaming-llm: Efficient Streaming Language Models with Attention Sinks
Phi-1.5
Phi-1.5 is a "small" 1.3 billion parameter LLM with an impressive performance for its size.
Annotated figures from the Textbooks Is All You Need II paper
How does this small model accomplish such a good performance? The secret ingredient seems to be the high-quality data.
The pretraining is based on the Textbooks Is All You Need approach that... See more
Phi-1.5 is a "small" 1.3 billion parameter LLM with an impressive performance for its size.
Annotated figures from the Textbooks Is All You Need II paper
How does this small model accomplish such a good performance? The secret ingredient seems to be the high-quality data.
The pretraining is based on the Textbooks Is All You Need approach that... See more