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ik_llama.cpp/docs/function-calling.md
firecoperana ab1d74074b common : introduce composable PEG parser combinators for chat parsing and new jinja template engine (#1369) 
---------

Co-authored-by: Piotr Wilkin <piotr.wilkin@syndatis.com>

common : add nemotron 3 parsing (#18077)

common : add parser for ministral/mistral large 3/devstral 2 (#17713)

common : default content to an empty string (#18485)

chat: make tool description and parameters optional per OpenAI spec (#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 #17667

common : implement new jinja template engine (#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 (#18905)

jinja : fix lexing of float literals with sign (#18901)

jinja : add missing tojson filter for bool (#18900)

jinja : attribute support for join, map and sort (#18883)

jinja : fix object item order (and properly implement dictsort) (#18904)

tests : add test-jinja -py option for cross-checking (#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] (#18916)

jinja : fix undefined keys and attributes and int/float as bool (#18924)

jinja: support none|string (#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 (#18955)

---------

Co-authored-by: Xuan Son Nguyen <son@huggingface.co>

jinja : undefined should be treated as sequence/iterable (return string/array) by filters/tests (#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 (#19176)

jinja : add unordered_map include to value.h [no ci] (#19205)

jinja : add missing 'in' test to template engine (#19004) (#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 (#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 (#18994)

chat : fix translategemma crash on common_chat_format_example (#19019)

chat: fix language input for translategemma (#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 (#19419)

mtmd : chat : Fix extra \n between text and media marker (#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 (#19765)

common : fix improper trimming in XML parser on complete message (#19805)

Co-authored-by: Jules LEIDELINGER <11395311+julio75012@users.noreply.github.com>

jinja: correct stats for tojson and string filters (#19785)

jinja : correct default size for string slices (#19913)

common : handle unicode during partial json parsing (#16526)

common : fix json schema with '\' in literals (#17307)

add back qwen_coder_xml and mirothinker

Co-authored-by: Aldehir Rojas <hello@alde.dev>
2026-03-09 11:03:33 +01:00

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# Function Calling
[chat.h](../common/chat.h) (https://github.com/ggml-org/llama.cpp/pull/9639) adds support for [OpenAI-style function calling](https://platform.openai.com/docs/guides/function-calling) and is used in:
- `llama-server` when started w/ `--jinja` flag
## Universal support w/ Native & Generic handlers
Function calling is supported for all models (see https://github.com/ggml-org/llama.cpp/pull/9639):
- Native tool call formats supported:
- Llama 3.1 / 3.3 (including builtin tools support - tool names for `wolfram_alpha`, `web_search` / `brave_search`, `code_interpreter`), Llama 3.2
- Functionary v3.1 / v3.2
- Hermes 2/3, Qwen 2.5
- Qwen 2.5 Coder
- Mistral Nemo
- Firefunction v2
- Command R7B
- DeepSeek R1 (WIP / seems reluctant to call any tools?)
- Generic tool call is supported when the template isn't recognized by native format handlers (you'll see `Chat format: Generic` in the logs).
- Use `--chat-template-file` to override the template when appropriate (see examples below)
- Generic support may consume more tokens and be less efficient than a model's native format.
<details>
<summary>Show some common templates and which format handler they use</summary>
| Template | Format |
|----------|--------|
| Almawave-Velvet-14B.jinja | Hermes 2 Pro |
| AtlaAI-Selene-1-Mini-Llama-3.1-8B.jinja | Llama 3.x |
| CohereForAI-aya-expanse-8b.jinja | Generic |
| CohereForAI-c4ai-command-r-plus-default.jinja | Generic |
| CohereForAI-c4ai-command-r-plus-rag.jinja | Generic |
| CohereForAI-c4ai-command-r-plus-tool_use.jinja | Generic |
| CohereForAI-c4ai-command-r7b-12-2024-default.jinja | Command R7B (extract reasoning) |
| CohereForAI-c4ai-command-r7b-12-2024-rag.jinja | Command R7B (extract reasoning) |
| CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja | Command R7B (extract reasoning) |
| CohereForAI-c4ai-command-r7b-12-2024.jinja | Generic |
| DavieLion-Llama-3.2-1B-SPIN-iter3.jinja | Generic |
| Delta-Vector-Rei-12B.jinja | Mistral Nemo |
| EpistemeAI-Mistral-Nemo-Instruct-12B-Philosophy-Math.jinja | Mistral Nemo |
| FlofloB-83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit.jinja | Hermes 2 Pro |
| FlofloB-test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit.jinja | Generic |
| HelpingAI-HAI-SER.jinja | Generic |
| HuggingFaceTB-SmolLM2-1.7B-Instruct.jinja | Generic |
| HuggingFaceTB-SmolLM2-135M-Instruct.jinja | Generic |
| HuggingFaceTB-SmolLM2-360M-Instruct.jinja | Generic |
| INSAIT-Institute-BgGPT-Gemma-2-27B-IT-v1.0.jinja | Generic |
| Ihor-Text2Graph-R1-Qwen2.5-0.5b.jinja | Hermes 2 Pro |
| Infinigence-Megrez-3B-Instruct.jinja | Generic |
| Josephgflowers-TinyLlama_v1.1_math_code-world-test-1.jinja | Generic |
| LGAI-EXAONE-EXAONE-3.5-2.4B-Instruct.jinja | Generic |
| LGAI-EXAONE-EXAONE-3.5-7.8B-Instruct.jinja | Generic |
| LatitudeGames-Wayfarer-12B.jinja | Generic |
| Magpie-Align-Llama-3-8B-Magpie-Align-v0.1.jinja | Generic |
| Magpie-Align-Llama-3.1-8B-Magpie-Align-v0.1.jinja | Generic |
| MaziyarPanahi-calme-3.2-instruct-78b.jinja | Generic |
| MiniMaxAI-MiniMax-Text-01.jinja | Generic |
| MiniMaxAI-MiniMax-VL-01.jinja | Generic |
| NaniDAO-deepseek-r1-qwen-2.5-32B-ablated.jinja | DeepSeek R1 (extract reasoning) |
| NexaAIDev-Octopus-v2.jinja | Generic |
| NousResearch-Hermes-2-Pro-Llama-3-8B-default.jinja | Generic |
| NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja | Hermes 2 Pro |
| NousResearch-Hermes-2-Pro-Mistral-7B-default.jinja | Generic |
| NousResearch-Hermes-2-Pro-Mistral-7B-tool_use.jinja | Hermes 2 Pro |
| NousResearch-Hermes-3-Llama-3.1-70B-default.jinja | Generic |
| NousResearch-Hermes-3-Llama-3.1-70B-tool_use.jinja | Hermes 2 Pro |
| NovaSky-AI-Sky-T1-32B-Flash.jinja | Hermes 2 Pro |
| NovaSky-AI-Sky-T1-32B-Preview.jinja | Hermes 2 Pro |
| OnlyCheeini-greesychat-turbo.jinja | Generic |
| Orenguteng-Llama-3.1-8B-Lexi-Uncensored-V2.jinja | Llama 3.x |
| OrionStarAI-Orion-14B-Chat.jinja | Generic |
| PowerInfer-SmallThinker-3B-Preview.jinja | Generic |
| PrimeIntellect-INTELLECT-1-Instruct.jinja | Generic |
| Qwen-QVQ-72B-Preview.jinja | Generic |
| Qwen-QwQ-32B-Preview.jinja | Hermes 2 Pro |
| Qwen-Qwen1.5-7B-Chat.jinja | Generic |
| Qwen-Qwen2-7B-Instruct.jinja | Generic |
| Qwen-Qwen2-VL-72B-Instruct.jinja | Generic |
| Qwen-Qwen2-VL-7B-Instruct.jinja | Generic |
| Qwen-Qwen2.5-0.5B.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-1.5B-Instruct.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-14B-Instruct-1M.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-14B.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-32B-Instruct.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-32B.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-3B-Instruct.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-72B-Instruct.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-7B-Instruct-1M.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-7B-Instruct.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-7B.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-Coder-32B-Instruct.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-Coder-7B-Instruct.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-Math-1.5B.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-Math-7B-Instruct.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-VL-3B-Instruct.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-VL-72B-Instruct.jinja | Hermes 2 Pro |
| Qwen-Qwen2.5-VL-7B-Instruct.jinja | Hermes 2 Pro |
| RWKV-Red-Team-ARWKV-7B-Preview-0.1.jinja | Hermes 2 Pro |
| SakanaAI-TinySwallow-1.5B-Instruct.jinja | Hermes 2 Pro |
| SakanaAI-TinySwallow-1.5B.jinja | Hermes 2 Pro |
| Sao10K-70B-L3.3-Cirrus-x1.jinja | Llama 3.x |
| SentientAGI-Dobby-Mini-Leashed-Llama-3.1-8B.jinja | Llama 3.x |
| SentientAGI-Dobby-Mini-Unhinged-Llama-3.1-8B.jinja | Llama 3.x |
| Steelskull-L3.3-Damascus-R1.jinja | Llama 3.x |
| Steelskull-L3.3-MS-Nevoria-70b.jinja | Llama 3.x |
| Steelskull-L3.3-Nevoria-R1-70b.jinja | Llama 3.x |
| THUDM-glm-4-9b-chat.jinja | Generic |
| THUDM-glm-edge-1.5b-chat.jinja | Generic |
| Tarek07-Progenitor-V1.1-LLaMa-70B.jinja | Llama 3.x |
| TheBloke-FusionNet_34Bx2_MoE-AWQ.jinja | Generic |
| TinyLlama-TinyLlama-1.1B-Chat-v1.0.jinja | Generic |
| UCLA-AGI-Mistral7B-PairRM-SPPO-Iter3.jinja | Generic |
| ValiantLabs-Llama3.1-8B-Enigma.jinja | Llama 3.x |
| abacusai-Fewshot-Metamath-OrcaVicuna-Mistral.jinja | Generic |
| ai21labs-AI21-Jamba-1.5-Large.jinja | Generic |
| allenai-Llama-3.1-Tulu-3-405B-SFT.jinja | Generic |
| allenai-Llama-3.1-Tulu-3-405B.jinja | Generic |
| allenai-Llama-3.1-Tulu-3-8B.jinja | Generic |
| arcee-ai-Virtuoso-Lite.jinja | Hermes 2 Pro |
| arcee-ai-Virtuoso-Medium-v2.jinja | Hermes 2 Pro |
| arcee-ai-Virtuoso-Small-v2.jinja | Hermes 2 Pro |
| avemio-GRAG-NEMO-12B-ORPO-HESSIAN-AI.jinja | Generic |
| bespokelabs-Bespoke-Stratos-7B.jinja | Hermes 2 Pro |
| bfuzzy1-acheron-m1a-llama.jinja | Generic |
| bofenghuang-vigogne-2-70b-chat.jinja | Generic |
| bytedance-research-UI-TARS-72B-DPO.jinja | Generic |
| bytedance-research-UI-TARS-7B-DPO.jinja | Generic |
| bytedance-research-UI-TARS-7B-SFT.jinja | Generic |
| carsenk-phi3.5_mini_exp_825_uncensored.jinja | Generic |
| cyberagent-DeepSeek-R1-Distill-Qwen-14B-Japanese.jinja | DeepSeek R1 (extract reasoning) |
| cyberagent-DeepSeek-R1-Distill-Qwen-32B-Japanese.jinja | DeepSeek R1 (extract reasoning) |
| databricks-dbrx-instruct.jinja | Generic |
| deepseek-ai-DeepSeek-Coder-V2-Instruct.jinja | Generic |
| deepseek-ai-DeepSeek-Coder-V2-Lite-Base.jinja | Generic |
| deepseek-ai-DeepSeek-Coder-V2-Lite-Instruct.jinja | Generic |
| deepseek-ai-DeepSeek-R1-Distill-Llama-70B.jinja | DeepSeek R1 (extract reasoning) |
| deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja | DeepSeek R1 (extract reasoning) |
| deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B.jinja | DeepSeek R1 (extract reasoning) |
| deepseek-ai-DeepSeek-R1-Distill-Qwen-14B.jinja | DeepSeek R1 (extract reasoning) |
| deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja | DeepSeek R1 (extract reasoning) |
| deepseek-ai-DeepSeek-R1-Distill-Qwen-7B.jinja | DeepSeek R1 (extract reasoning) |
| deepseek-ai-DeepSeek-R1-Zero.jinja | DeepSeek R1 (extract reasoning) |
| deepseek-ai-DeepSeek-R1.jinja | DeepSeek R1 (extract reasoning) |
| deepseek-ai-DeepSeek-V2-Lite.jinja | Generic |
| deepseek-ai-DeepSeek-V2.5.jinja | DeepSeek R1 (extract reasoning) |
| deepseek-ai-DeepSeek-V3.jinja | DeepSeek R1 (extract reasoning) |
| deepseek-ai-deepseek-coder-33b-instruct.jinja | Generic |
| deepseek-ai-deepseek-coder-6.7b-instruct.jinja | Generic |
| deepseek-ai-deepseek-coder-7b-instruct-v1.5.jinja | Generic |
| deepseek-ai-deepseek-llm-67b-chat.jinja | Generic |
| deepseek-ai-deepseek-llm-7b-chat.jinja | Generic |
| dicta-il-dictalm2.0-instruct.jinja | Generic |
| ehristoforu-Falcon3-8B-Franken-Basestruct.jinja | Hermes 2 Pro |
| fireworks-ai-llama-3-firefunction-v2.jinja | FireFunction v2 |
| godlikehhd-alpaca_data_sampled_ifd_new_5200.jinja | Hermes 2 Pro |
| godlikehhd-alpaca_data_score_max_0.7_2600.jinja | Hermes 2 Pro |
| google-gemma-2-27b-it.jinja | Generic |
| google-gemma-2-2b-it.jinja | Generic |
| google-gemma-2-2b-jpn-it.jinja | Generic |
| google-gemma-7b-it.jinja | Generic |
| huihui-ai-DeepSeek-R1-Distill-Llama-70B-abliterated.jinja | DeepSeek R1 (extract reasoning) |
| huihui-ai-DeepSeek-R1-Distill-Llama-8B-abliterated.jinja | DeepSeek R1 (extract reasoning) |
| huihui-ai-DeepSeek-R1-Distill-Qwen-14B-abliterated-v2.jinja | DeepSeek R1 (extract reasoning) |
| huihui-ai-DeepSeek-R1-Distill-Qwen-32B-abliterated.jinja | DeepSeek R1 (extract reasoning) |
| huihui-ai-DeepSeek-R1-Distill-Qwen-7B-abliterated-v2.jinja | DeepSeek R1 (extract reasoning) |
| huihui-ai-Qwen2.5-14B-Instruct-1M-abliterated.jinja | Hermes 2 Pro |
| ibm-granite-granite-3.1-8b-instruct.jinja | Generic |
| indischepartij-MiniCPM-3B-OpenHermes-2.5-v2.jinja | Generic |
| inflatebot-MN-12B-Mag-Mell-R1.jinja | Generic |
| jinaai-ReaderLM-v2.jinja | Generic |
| kms7530-chemeng_qwen-math-7b_24_1_100_1_nonmath.jinja | Hermes 2 Pro |
| knifeayumu-Cydonia-v1.3-Magnum-v4-22B.jinja | Mistral Nemo |
| langgptai-qwen1.5-7b-chat-sa-v0.1.jinja | Generic |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese.jinja | DeepSeek R1 (extract reasoning) |
| mattshumer-Reflection-Llama-3.1-70B.jinja | Generic |
| meetkai-functionary-medium-v3.1.jinja | Functionary v3.1 Llama 3.1 |
| meetkai-functionary-medium-v3.2.jinja | Functionary v3.2 |
| meta-llama-Llama-2-7b-chat-hf.jinja | Generic |
| meta-llama-Llama-3.1-8B-Instruct.jinja | Llama 3.x |
| meta-llama-Llama-3.2-11B-Vision-Instruct.jinja | Llama 3.x |
| meta-llama-Llama-3.2-1B-Instruct.jinja | Llama 3.x |
| meta-llama-Llama-3.2-3B-Instruct.jinja | Llama 3.x |
| meta-llama-Llama-3.3-70B-Instruct.jinja | Llama 3.x |
| meta-llama-Meta-Llama-3-8B-Instruct.jinja | Generic |
| meta-llama-Meta-Llama-3.1-8B-Instruct.jinja | Llama 3.x |
| microsoft-Phi-3-medium-4k-instruct.jinja | Generic |
| microsoft-Phi-3-mini-4k-instruct.jinja | Generic |
| microsoft-Phi-3-small-8k-instruct.jinja | Generic |
| microsoft-Phi-3.5-mini-instruct.jinja | Generic |
| microsoft-Phi-3.5-vision-instruct.jinja | Generic |
| microsoft-phi-4.jinja | Generic |
| migtissera-Tess-3-Mistral-Nemo-12B.jinja | Generic |
| ministral-Ministral-3b-instruct.jinja | Generic |
| mistralai-Codestral-22B-v0.1.jinja | Generic |
| mistralai-Mistral-7B-Instruct-v0.1.jinja | Generic |
| mistralai-Mistral-7B-Instruct-v0.2.jinja | Generic |
| mistralai-Mistral-7B-Instruct-v0.3.jinja | Mistral Nemo |
| mistralai-Mistral-Large-Instruct-2407.jinja | Mistral Nemo |
| mistralai-Mistral-Large-Instruct-2411.jinja | Generic |
| mistralai-Mistral-Nemo-Instruct-2407.jinja | Mistral Nemo |
| mistralai-Mistral-Small-24B-Instruct-2501.jinja | Generic |
| mistralai-Mixtral-8x7B-Instruct-v0.1.jinja | Generic |
| mkurman-Qwen2.5-14B-DeepSeek-R1-1M.jinja | Hermes 2 Pro |
| mlabonne-AlphaMonarch-7B.jinja | Generic |
| mlx-community-Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32.jinja | Hermes 2 Pro |
| mlx-community-Qwen2.5-VL-7B-Instruct-8bit.jinja | Hermes 2 Pro |
| mobiuslabsgmbh-DeepSeek-R1-ReDistill-Qwen-1.5B-v1.1.jinja | DeepSeek R1 (extract reasoning) |
| netcat420-MFANNv0.20.jinja | Generic |
| netcat420-MFANNv0.24.jinja | Generic |
| netease-youdao-Confucius-o1-14B.jinja | Hermes 2 Pro |
| nvidia-AceMath-7B-RM.jinja | Hermes 2 Pro |
| nvidia-Eagle2-1B.jinja | Hermes 2 Pro |
| nvidia-Eagle2-9B.jinja | Hermes 2 Pro |
| nvidia-Llama-3.1-Nemotron-70B-Instruct-HF.jinja | Llama 3.x |
| onnx-community-DeepSeek-R1-Distill-Qwen-1.5B-ONNX.jinja | DeepSeek R1 (extract reasoning) |
| open-thoughts-OpenThinker-7B.jinja | Hermes 2 Pro |
| openchat-openchat-3.5-0106.jinja | Generic |
| pankajmathur-orca_mini_v6_8b.jinja | Generic |
| princeton-nlp-Mistral-7B-Base-SFT-RDPO.jinja | Generic |
| princeton-nlp-Mistral-7B-Instruct-DPO.jinja | Generic |
| princeton-nlp-Mistral-7B-Instruct-RDPO.jinja | Generic |
| prithivMLmods-Bellatrix-Tiny-1.5B-R1.jinja | Hermes 2 Pro |
| prithivMLmods-Bellatrix-Tiny-1B-R1.jinja | Llama 3.x |
| prithivMLmods-Bellatrix-Tiny-1B-v3.jinja | Generic |
| prithivMLmods-Bellatrix-Tiny-3B-R1.jinja | Llama 3.x |
| prithivMLmods-Blaze-14B-xElite.jinja | Generic |
| prithivMLmods-Calcium-Opus-14B-Elite2-R1.jinja | Hermes 2 Pro |
| prithivMLmods-Calme-Ties-78B.jinja | Generic |
| prithivMLmods-Calme-Ties2-78B.jinja | Generic |
| prithivMLmods-Calme-Ties3-78B.jinja | Generic |
| prithivMLmods-ChemQwen2-vL.jinja | Generic |
| prithivMLmods-GWQ2b.jinja | Generic |
| prithivMLmods-LatexMind-2B-Codec.jinja | Generic |
| prithivMLmods-Llama-3.2-6B-AlgoCode.jinja | Llama 3.x |
| prithivMLmods-Megatron-Opus-14B-Exp.jinja | Hermes 2 Pro |
| prithivMLmods-Megatron-Opus-14B-Stock.jinja | Hermes 2 Pro |
| prithivMLmods-Megatron-Opus-7B-Exp.jinja | Hermes 2 Pro |
| prithivMLmods-Omni-Reasoner-Merged.jinja | Hermes 2 Pro |
| prithivMLmods-Omni-Reasoner4-Merged.jinja | Hermes 2 Pro |
| prithivMLmods-Primal-Opus-14B-Optimus-v1.jinja | Hermes 2 Pro |
| prithivMLmods-QwQ-Math-IO-500M.jinja | Hermes 2 Pro |
| prithivMLmods-Qwen-7B-Distill-Reasoner.jinja | DeepSeek R1 (extract reasoning) |
| prithivMLmods-Qwen2.5-1.5B-DeepSeek-R1-Instruct.jinja | Hermes 2 Pro |
| prithivMLmods-Qwen2.5-14B-DeepSeek-R1-1M.jinja | Hermes 2 Pro |
| prithivMLmods-Qwen2.5-32B-DeepSeek-R1-Instruct.jinja | Hermes 2 Pro |
| prithivMLmods-Qwen2.5-7B-DeepSeek-R1-1M.jinja | Hermes 2 Pro |
| prithivMLmods-Triangulum-v2-10B.jinja | Hermes 2 Pro |
| qingy2024-Falcon3-2x10B-MoE-Instruct.jinja | Hermes 2 Pro |
| rubenroy-Zurich-14B-GCv2-5m.jinja | Hermes 2 Pro |
| rubenroy-Zurich-7B-GCv2-5m.jinja | Hermes 2 Pro |
| silma-ai-SILMA-Kashif-2B-Instruct-v1.0.jinja | Generic |
| simplescaling-s1-32B.jinja | Hermes 2 Pro |
| sometimesanotion-Lamarck-14B-v0.7.jinja | Hermes 2 Pro |
| sonthenguyen-zephyr-sft-bnb-4bit-DPO-mtbr-180steps.jinja | Generic |
| sthenno-tempesthenno-icy-0130.jinja | Generic |
| sumink-qwft.jinja | Hermes 2 Pro |
| teknium-OpenHermes-2.5-Mistral-7B.jinja | Generic |
| thirdeyeai-elevate360m.jinja | Generic |
| tiiuae-Falcon3-10B-Instruct.jinja | Hermes 2 Pro |
| unsloth-DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit.jinja | DeepSeek R1 (extract reasoning) |
| unsloth-DeepSeek-R1-Distill-Llama-8B.jinja | DeepSeek R1 (extract reasoning) |
| unsloth-DeepSeek-R1.jinja | DeepSeek R1 (extract reasoning) |
| unsloth-Mistral-Small-24B-Instruct-2501-unsloth-bnb-4bit.jinja | Generic |
| upstage-solar-pro-preview-instruct.jinja | Generic |
| whyhow-ai-PatientSeek.jinja | Generic |
| xwen-team-Xwen-72B-Chat.jinja | Hermes 2 Pro |
| xwen-team-Xwen-7B-Chat.jinja | Hermes 2 Pro |
This table can be generated with:
<!-- TODO @ngxson : we should update this, since minja dependency has been removed -->
```bash
./build/bin/test-chat ../minja/build/tests/*.jinja 2>/dev/null
```
</details>
# Usage - need tool-aware Jinja template
First, start a server with any model, but make sure it has a tools-enabled template: you can verify this by inspecting the `chat_template` or `chat_template_tool_use` properties in `http://localhost:8080/props`).
Here are some models known to work (w/ chat template override when needed):
```shell
# Native support:
llama-server --jinja -fa -hf bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M
llama-server --jinja -fa -hf bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q6_K_L
llama-server --jinja -fa -hf bartowski/Llama-3.3-70B-Instruct-GGUF:Q4_K_M
# Native support for DeepSeek R1 works best w/ our template override (official template is buggy, although we do work around it)
llama-server --jinja -fa -hf bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q6_K_L \
--chat-template-file models/templates/llama-cpp-deepseek-r1.jinja
llama-server --jinja -fa -hf bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF:Q4_K_M \
--chat-template-file models/templates/llama-cpp-deepseek-r1.jinja
# Native support requires the right template for these GGUFs:
llama-server --jinja -fa -hf bartowski/functionary-small-v3.2-GGUF:Q4_K_M
--chat-template-file models/templates/meetkai-functionary-medium-v3.2.jinja
llama-server --jinja -fa -hf bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M \
--chat-template-file models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja
llama-server --jinja -fa -hf bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M \
--chat-template-file models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja
llama-server --jinja -fa -hf bartowski/firefunction-v2-GGUF -hff firefunction-v2-IQ1_M.gguf \
--chat-template-file models/templates/fireworks-ai-llama-3-firefunction-v2.jinja
llama-server --jinja -fa -hf bartowski/c4ai-command-r7b-12-2024-GGUF:Q6_K_L \
--chat-template-file models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja
# Generic format support
llama-server --jinja -fa -hf bartowski/phi-4-GGUF:Q4_0
llama-server --jinja -fa -hf bartowski/gemma-2-2b-it-GGUF:Q8_0
llama-server --jinja -fa -hf bartowski/c4ai-command-r-v01-GGUF:Q2_K
```
To get the official template from original HuggingFace repos, you can use [scripts/get_chat_template.py](../scripts/get_chat_template.py) (see examples invocations in [models/templates/README.md](../models/templates/README.md))
> [!TIP]
> If there is no official `tool_use` Jinja template, you may want to set `--chat-template chatml` to use a default that works with many models (YMMV!), or write your own (e.g. we provide a custom [llama-cpp-deepseek-r1.jinja](../models/templates/llama-cpp-deepseek-r1.jinja) for DeepSeek R1 distills)
> [!CAUTION]
> Beware of extreme KV quantizations (e.g. `-ctk q4_0`), they can substantially degrade the model's tool calling performance.
Test in CLI (or with any library / software that can use OpenAI-compatible API backends):
```bash
curl http://localhost:8080/v1/chat/completions -d '{
"model": "gpt-3.5-turbo",
"tools": [
{
"type":"function",
"function":{
"name":"python",
"description":"Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.",
"parameters":{
"type":"object",
"properties":{
"code":{
"type":"string",
"description":"The code to run in the ipython interpreter."
}
},
"required":["code"]
}
}
}
],
"messages": [
{
"role": "user",
"content": "Print a hello world message with python."
}
]
}'
curl http://localhost:8080/v1/chat/completions -d '{
"model": "gpt-3.5-turbo",
"messages": [
{"role": "system", "content": "You are a chatbot that uses tools/functions. Dont overthink things."},
{"role": "user", "content": "What is the weather in Istanbul?"}
],
"tools": [{
"type":"function",
"function":{
"name":"get_current_weather",
"description":"Get the current weather in a given location",
"parameters":{
"type":"object",
"properties":{
"location":{
"type":"string",
"description":"The city and country/state, e.g. `San Francisco, CA`, or `Paris, France`"
}
},
"required":["location"]
}
}
}]
}'
```
<details>
<summary>Show output</summary>
```json
{
"choices": [
{
"finish_reason": "tool",
"index": 0,
"message": {
"content": null,
"tool_calls": [
{
"name": "python",
"arguments": "{\"code\":\" \\nprint(\\\"Hello, World!\\\")\"}"
}
],
"role": "assistant"
}
}
],
"created": 1727287211,
"model": "gpt-3.5-turbo",
"object": "chat.completion",
"usage": {
"completion_tokens": 16,
"prompt_tokens": 44,
"total_tokens": 60
},
"id": "chatcmpl-Htbgh9feMmGM0LEH2hmQvwsCxq3c6Ni8"
}
```
</details>
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