Deploying Large Language Models (LLMs) in streaming applications such as multi-round dialogue, where long interactions are expected, is urgently needed but poses two major …

Oct 2, 2023 · I tried naively to add examples in https://github.com/mit-han-lab/streaming-llm/blob/main/data/mt_bench.jsonl, including examples with length of 4k tokens, without …

Nov 20, 2023 · as (run_streaming_llama.py#L61) [https://github.com/mit-han-lab/streaming-llm/blob/main/examples/run_streaming_llama.py#L61] see, prompt must be send to model one …

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[ICLR 2024] Efficient Streaming Language Models with Attention Sinks - mit-han-lab/streaming-llm

Oct 10, 2023 · Guangxuan-Xiao commented on Oct 11, 2023 CodeLlamas are also Llama models, so we have already supported them :). https://huggingface.co/codellama/CodeLlama …

[ICLR 2024] Efficient Streaming Language Models with Attention Sinks - mit-han-lab/streaming-llm

[ICLR 2024] Efficient Streaming Language Models with Attention Sinks - streaming-llm/data/mt_bench.jsonl at main · mit-han-lab/streaming-llm

https://github.com/mit-han-lab/streaming-llm/blob/main/streaming_llm/pos_shift/modify_llama.py but if that work has already been done somewhere else, that'd be a great time saver

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