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# Chat template renderer

Turn a system/user/assistant transcript into a documented wire format — ChatML, Llama 2, Llama 3, Mistral, Gemma, or Alpaca — with the token count.
six documented templates · every fold reported · token counts need the AI workerRenderClearChatMLLlama 2Llama 3 / 3.1Mistral (v3)GemmaAlpacaCounting encoding

- The <|im_start|> / <|im_end|> markers are real special tokens in the cl100k and o200k vocabularies — count them with those encodings for the closest number.
Message 1 rolemessage 1Message 1 contentMessage 2 rolemessage 2Message 2 contentMessage 3 rolemessage 3Message 3 contentMessage 4 rolemessage 4Message 4 content

Build the transcript, then press Render.

- Every template here is a documented wire format, and the page names its source. That is the whole claim: what you see is what the format's documentation says, not a promise that a specific served model accepts it verbatim.
- Served models often wrap your messages in their own server-side template. Sending this rendered text as a plain user message double-wraps it — these formats are for local engines and prompt debugging, not for chat APIs that already template.
- Token counts use the selected OpenAI encoding. For non-OpenAI formats that is an approximation by construction — their markers are not special tokens in these vocabularies.
- Formats with no system slot (Mistral, Gemma) fold the system message into the first user turn and report the fold — nothing is dropped silently.

- ChatML : The ChatML wire format documented in OpenAI's legacy cookbook examples.
- Llama 2 : Meta's documented Llama 2 chat format ([INST] … [/INST] with <<sys>>).
- Llama 3 / 3.1 : Meta's documented Llama 3 chat template (<|start_header_id|> … <|eot_id|>).
- Mistral (v3) : Mistral's documented [INST] … [/INST] chat format.
- Gemma : Google's documented Gemma turn format (<start_of_turn>user / model).
- Alpaca : Stanford Alpaca's documented prompt format (Instruction / Input / Response).
Nothing in yet

Paste, drop, or type to begin. Everything stays on this device.

nothing renders until you press Render

## Next door in AI

- [Tokenizer playground](/ai/tokenizer)
- [Fine-tune JSONL formatter](/ai/jsonl-formatter)
[All AI tools](/ai)

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Canonical HTML: https://nutter.tools/ai/chat-template
Markdown version: https://nutter.tools/ai/chat-template/index.md
Plain-text version: https://nutter.tools/ai/chat-template/index.txt
Agent index: https://nutter.tools/llms.txt