GitLab

Signed-off-by: Jont828 <jt572@cornell.edu>

Signed-off-by: Dan Gil <dagil@nvidia.com>
Co-authored-by: Cursor <cursoragent@cursor.com>

Signed-off-by: Jont828 <jt572@cornell.edu>

Signed-off-by: Jont828 <jt572@cornell.edu>
Signed-off-by: Neal Vaidya <nealv@nvidia.com>
Co-authored-by: Neal Vaidya <nealv@nvidia.com>

Signed-off-by: PeaBrane <yanrpei@gmail.com>

Signed-off-by: Graham King <grahamk@nvidia.com>

Signed-off-by: Graham King <grahamk@nvidia.com>

Signed-off-by: Anant Sharma <anants@nvidia.com>

Signed-off-by: Harry Kim <harry_kim@live.com>
Signed-off-by: athreesh <anish.maddipoti@utexas.edu>
Signed-off-by: akshatha-k <33278067+akshatha-k@users.noreply.github.com>
Signed-off-by: Harrison Saturley-Hall <hsaturleyhal@nvidia.com>
Signed-off-by: Harrison King Saturley-Hall <hsaturleyhal@nvidia.com>
Co-authored-by: Harry Kim <harry_kim@live.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: akshatha-k <33278067+akshatha-k@users.noreply.github.com>
Co-authored-by: Harrison Saturley-Hall <hsaturleyhal@nvidia.com>

Signed-off-by: athreesh <anish.maddipoti@utexas.edu>
Co-authored-by: Claude <noreply@anthropic.com>

Signed-off-by: Graham King <grahamk@nvidia.com>

Signed-off-by: Graham King <grahamk@nvidia.com>

Signed-off-by: Graham King <grahamk@nvidia.com>

refactor: Split ModelType to ModelInput for request and response type; ModelType for the supported workloads (#2714)
Signed-off-by: Guan Luo <gluo@nvidia.com>
Signed-off-by: GuanLuo <41310872+GuanLuo@users.noreply.github.com>
Co-authored-by: Guan Luo <gluo@nvidia.com>
Co-authored-by: GuanLuo <41310872+GuanLuo@users.noreply.github.com>

Signed-off-by: Jacky <18255193+kthui@users.noreply.github.com>
Co-authored-by: Neelay Shah <neelays@nvidia.com>

Signed-off-by: Yan Ru Pei <yanrpei@gmail.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>

Signed-off-by: Yan Ru Pei <yanrpei@gmail.com>
Co-authored-by: Hongkuan Zhou <tedzhouhk@gmail.com>

Signed-off-by: Yan Ru Pei <yanrpei@gmail.com>
Co-authored-by: Alec <35311602+alec-flowers@users.noreply.github.com>

Signed-off-by: Kristen Kelleher <kkelleher@nvidia.com>
Co-authored-by: Ryan McCormick <rmccormick@nvidia.com>

Signed-off-by: Kristen Kelleher <kkelleher@nvidia.com>
- Content, format, and structural changes to the Dynamo docs for 0.3.0. 
- Includes copyediting and the first batch of changes from the DMO review.

Do not include by default as it needs libgomp1 at runtime. Add a feature to enable it at build time.

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

Llama 4 has a very large context length (aka n_ctx, model_max_length, max_model_len), and vllm won't start unless it can allocate enough KV cache for the entire context.

Allow passing `--context-length <N>` to `dynamo-run` to limit it so long-context models will fit.

Future todo:
- Restrict every request's `max_tokens` to below the context length. Our pre-processor should do this by setting stop_conditions.max_tokens. mistralrs engine wrapper must do it itself because it does not use the pre-processor.
- mistralrs and llamacpp currently have a hard-coded max context length if one is not provided on the command line. Change those to be the model's built-in max, read from the GGUF or tokenizer_config.json.

Signed-off-by: Suman Tatiraju <167138127+statiraju@users.noreply.github.com>
Signed-off-by: Anant Sharma <anants@nvidia.com>
Co-authored-by: Anant Sharma <anants@nvidia.com>
Co-authored-by: Dmitry Tokarev <dtokarev@nvidia.com>
Co-authored-by: ishandhanani <82981111+ishandhanani@users.noreply.github.com>
Co-authored-by: Kristen Kelleher <kkelleher@nvidia.com>
Co-authored-by: Suman Tatiraju <statiraju@statiraju-mlt.client.nvidia.com>
Co-authored-by: Hannah Zhang <hannahz@nvidia.com>