froggeric-terse-coder — chat template for Qwen3.8 Terse-Coder
The recommended chat template for the
Terse-Coder family
(also bundled inside each model repo as chat_template.jinja).
Lineage: derived from froggeric/Qwen-Fixed-Chat-Templates —
the house qwen3.8-froggeric-v5 template, tuned for terse-reasoning
models. It is what our benchmarks and the daily driver run — serving the model
without it (or with a scaffold that overrides the system prompt) changes
behavior, most noticeably around tool-call discipline:
- Anti-rumination rules: after a tool error, do not repeat the same command and do not announce retries.
reasoning_effort: highmaps to the model's extended thinking tier; default thinking is on.- Tool calls use the qwen3_coder format (
<tool_call><function=...>), parsed natively by vLLM (qwen3_coder_mcp), SGLang, and TabbyAPI. - Completed-turn
<think>content is not replayed unlesspreserve_thinkingis set.
Usage
vLLM:
vllm serve Shockem/Qwen3.8-27b-Terse-Coder-NVFP4 \
--chat-template chat_template.jinja \
--speculative-config '{"method":"mtp","num_speculative_tokens":3}'
llama.cpp:
llama-server -m Qwen3.8-27b-Terse-Coder.Q4_K_M.gguf \
--chat-template chat_template.jinja -ngl 99
SGLang:
sglang serve --model-path Shockem/Qwen3.8-27b-Terse-Coder-NVFP4 \
--chat-template chat_template.jinja
Note: the think-budget ladder (caps per reasoning_effort level) is applied
server-side in our deployment, not by the template itself — see the model
cards for the measured setup. Licensed Apache 2.0.