NVIDIA Nemotron 3 parsing#18077
Merged
aldehir merged 6 commits intoggml-org:masterfrom Dec 16, 2025
Merged
Conversation
Contributor
Author
|
One fun thing about this model: it may not emit a |
ggerganov
approved these changes
Dec 16, 2025
Member
ggerganov
left a comment
There was a problem hiding this comment.
Did a few tests with llama-server and it works as expected. Thanks!
danbev
approved these changes
Dec 16, 2025
Contributor
Author
|
Just had to remove a lingering debug line. I can merge once the tests pass, if that's OK. |
Anico2
added a commit
to Anico2/llama.cpp
that referenced
this pull request
Jan 15, 2026
* common : expose json-schema functionality to extract type info * common : fix peg parser negation during needs_more_input * common : add some defensive measures in constructed peg parser * common : add nemotron nano 3 support * common : add nemotron nano 3 tests * remove debug line
blime4
referenced
this pull request
in blime4/llama.cpp
Feb 5, 2026
* common : expose json-schema functionality to extract type info * common : fix peg parser negation during needs_more_input * common : add some defensive measures in constructed peg parser * common : add nemotron nano 3 support * common : add nemotron nano 3 tests * remove debug line
Seunghhon
pushed a commit
to Seunghhon/llama.cpp
that referenced
this pull request
Apr 26, 2026
* common : expose json-schema functionality to extract type info * common : fix peg parser negation during needs_more_input * common : add some defensive measures in constructed peg parser * common : add nemotron nano 3 support * common : add nemotron nano 3 tests * remove debug line
phuongncn
pushed a commit
to phuongncn/llama.cpp-gx10-dgx-sparks-deepseekv4
that referenced
this pull request
Apr 28, 2026
… and new jinja template engine (ggml-org#1369) --------- Co-authored-by: Piotr Wilkin <piotr.wilkin@syndatis.com> common : add nemotron 3 parsing (ggml-org#18077) common : add parser for ministral/mistral large 3/devstral 2 (ggml-org#17713) common : default content to an empty string (ggml-org#18485) chat: make tool description and parameters optional per OpenAI spec (ggml-org#18478) Per the OpenAI API specification, both 'description' and 'parameters' fields in tool function definitions are optional. Previously, the parser would throw an exception if these fields were missing. Attempts to fix ggml-org#17667 common : implement new jinja template engine (ggml-org#18462) --------- Co-authored-by: Alde Rojas <hello@alde.dev> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> jinja: correct member access rule (ggml-org#18905) jinja : fix lexing of float literals with sign (ggml-org#18901) jinja : add missing tojson filter for bool (ggml-org#18900) jinja : attribute support for join, map and sort (ggml-org#18883) jinja : fix object item order (and properly implement dictsort) (ggml-org#18904) tests : add test-jinja -py option for cross-checking (ggml-org#18906) Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> ci : run test-jinja -py on high perf [no ci] (ggml-org#18916) jinja : fix undefined keys and attributes and int/float as bool (ggml-org#18924) jinja: support none|string (ggml-org#18995) Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> jinja : implement mixed type object keys (ggml-org#18955) --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co> jinja : undefined should be treated as sequence/iterable (return string/array) by filters/tests (ggml-org#19147) `tojson` is not a supported `undefined` filter keep it DRY and fix some types jinja : do not pass empty tools and add some none filters (ggml-org#19176) jinja : add unordered_map include to value.h [no ci] (ggml-org#19205) jinja : add missing 'in' test to template engine (ggml-org#19004) (ggml-org#19239) The jinja template parser was missing the 'in' test from global_builtins(), causing templates using reject("in", ...), select("in", ...), or 'x is in(y)' to fail with "selectattr: unknown test 'in'". This broke tool-calling for Qwen3-Coder and any other model whose chat template uses the 'in' test. Added test_is_in supporting array, string, and object containment checks, mirroring the existing 'in' operator logic in runtime.cpp. Includes test cases for all three containment types plus reject/select filter usage. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> --------- Co-authored-by: Sid Mohan <sidmohan0@users.noreply.github.com> Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> Co-authored-by: Xuan Son Nguyen <son@huggingface.co> Add Jinja support for "indent" string filter (ggml-org#19529) Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> add vendor refactor chat server : support preserving reasoning_content in assistant message (ggml-org#18994) chat : fix translategemma crash on common_chat_format_example (ggml-org#19019) chat: fix language input for translategemma (ggml-org#19052) Co-authored-by: Aldehir Rojas <hello@alde.dev> --------- Co-authored-by: Aldehir Rojas <hello@alde.dev> chat: fix case where template accepts type content only (ggml-org#19419) mtmd : chat : Fix extra \n between text and media marker (ggml-org#19595) Thanks to @tugot17 for detecting and reporting the issue. For vision models (e.g. LFM2.5-VL-1.6B and Qwen/Qwen3-VL-4B-Instruct) `llama-mtmd-cli` produces identical output to HF implementation. However `llama-server` doesn't. I traced it down to extra newline inserted after `<__media__>`. This happens in `to_json_oaicompat`, that treats media markers as text and joins all parts with `\n` separator. PR introduces new type `media_marker` and uses it for media markers. Extra logic is added to prevent insertion of newlines before and after media markers. With this change number of input tokens is identical to HF implementation and as a result the output is also identical. I explored other ways to address the issue * remove completely `\n` between text parts in `to_json_oaicompat` * merge text messages in server-common.cpp before sending them to `to_json_oaicompat` Please propose alternative ways of fixing this issue. Co-authored-by: Piotr Wilkin (ilintar) <piotr.wilkin@syndatis.com> --------- Co-authored-by: Piotr Wilkin (ilintar) <piotr.wilkin@syndatis.com> common : merge qwen3-coder and nemotron nano 3 parsers (ggml-org#19765) common : fix improper trimming in XML parser on complete message (ggml-org#19805) Co-authored-by: Jules LEIDELINGER <11395311+julio75012@users.noreply.github.com> jinja: correct stats for tojson and string filters (ggml-org#19785) jinja : correct default size for string slices (ggml-org#19913) common : handle unicode during partial json parsing (ggml-org#16526) common : fix json schema with '\' in literals (ggml-org#17307) add back qwen_coder_xml and mirothinker Co-authored-by: Aldehir Rojas <hello@alde.dev>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Add reasoning, response format, and tool call parsing for NVIDIA Nemotron 3 Nano (#18058)
Additional Changes
These models selectively output JSON, it is pretty much the Qwen3-Coder format. To handle schemas a bit better, I had to expose parts of the schema converter in
json-schema-to-grammarto check if a parameter resolves to a string. If it does, then always parse it as a string to keep things simple.