"components/backends/sglang/vscode:/vscode.git/clone" did not exist on "844f8819a1af7dce6eff2d0b7911b1ed1c018ab3"
- 25 Feb, 2026 1 commit
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Nikita authored
Signed-off-by:Nikita Sukharev <kaonael@gmail.com>
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- 15 Sep, 2025 1 commit
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Graham King authored
Signed-off-by:Graham King <grahamk@nvidia.com>
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- 22 May, 2025 1 commit
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Graham King authored
Example: ``` dynamo-run out=<engine> <model> --kv-cache-block-size 64 ``` In a distributed system this goes on the worker node and is propagated to ingress via the model deployment card. Previously hard coded to 16, which is now the default. - Load context_length from model. Closes #1172 - Store context length and KV cache block size in Model Deployment Card #1170
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- 08 May, 2025 1 commit
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Graham King authored
. New mistralrs and llamacpp version . mistralrs: Handle Gemma 3 and Llama 4 as vision models . Update the dynamo-run docs to use Qwen 3 . Our pre-processor now supports Llama 4's newer multi-modal `config.json` . Upgrade minijinja to handle Qwen 3's prompt template For Llama 4 we'll need to limit the max seq len. vllm says: > To serve at least one request with the models's max seq len (10485760), (240.00 GiB KV cache is needed,... I was able to run Llama 4 with llamacpp and a quantized GGUF, with Dynamo doing the pre-processing.
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- 25 Feb, 2025 1 commit
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Neelay Shah authored
Signed-off-by:
Neelay Shah <neelays@nvidia.com> Co-authored-by:
Ryan McCormick <rmccormick@nvidia.com>
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