docs: align model card with technical report and inference defaults

README.md

@@ -36,6 +36,8 @@ The evaluated 2B and 9B models combine the general, instruction, and meme specia
 
 Results below reproduce the latest technical report. Comparisons apply to the report's evaluation data and settings, and metric scales differ. Higher is better except for off-target rates. These are individual benchmark scores, separate from the demo's normalized radar categories.
 
+The tables compare this checkpoint with the other Index-Translate sizes, **Hy-MT2-7B**, **TranslateGemma-12B**, and the **Qwen3.5-9B** base at a similar scale, and larger translation models and API baselines.
+
 ### Main translation benchmarks
 
 WMT26 Judge uses a **0–100** scale; the other columns use **0–1**. instTrans quality and IFscore measure translation quality and instruction adherence separately. IFMTBench reports reference-based XCOMET-XXL and instruction adherence. Vertical is the equal-weight mean of the five domain scores below. North-Small-Translate is the **218B-A25B** model; TranslateGemma is **translategemma-12b-it**.
@@ -111,14 +113,37 @@ The **1,024-token output budget in the inference client below is a usage default
 
 ### Default settings
 
-These settings match the released GitHub text client and apply across Index-Translate sizes:
+The following settings describe the released [`translate.py`](https://github.com/bilibili/Index-Translate/blob/main/inference/llm/translate.py) client. Its decoding defaults apply across Index-Translate sizes; the commands below explicitly select this card's model.
 
-| Setting | Default |
+| Setting | Client default and override |
 |---|---|
-| Decoding | Greedy, **`temperature=0`** |
-| Thinking | Disabled: `enable_thinking=False` |
-| Output budget | `max_tokens=1024` |
-| `top_p`, `top_k`, repetition penalties | Not explicitly set by the client; use inference-server defaults |
+| Decoding | Greedy, **`temperature=0`**; override with `--temperature` |
+| Output budget | `max_tokens=1024`; override with `--max-tokens` |
+| Thinking | Disabled through `chat_template_kwargs={"enable_thinking": False}`; no thinking toggle in this CLI |
+| Top-p / top-k / min-p | Not explicitly set by this client; inference-server defaults apply |
+| Presence / frequency / repetition penalties | Not explicitly set by this client; inference-server defaults apply |
+| Random seed | Not explicitly set by this client; inference-server behavior applies |
+| Stop strings / stop-token IDs / ignore-EOS | Not explicitly set by this client; inference-server and model defaults apply |
+| Model ID | `IndexTeam/Index-Translate-9B`; `INDEX_MODEL` changes the default, and `--model` overrides it |
+| Source language | `auto`; override with `--source` / `-s`; auto omits the source-language name from the prompt |
+| Target language | `en`; override with `--target` / `-t` |
+| Endpoint | `http://127.0.0.1:8000/v1`; `OPENAI_BASE_URL` changes the default, and `--base-url` overrides it |
+| API key | `EMPTY` for local serving; `OPENAI_API_KEY` changes the default, and `--api-key` overrides it |
+| Request format | One user message; no system message is added by the client |
+| Response streaming | Not enabled by this client; it prints the complete response |
+| Transport timeout and retries | No explicit values set by the script; installed OpenAI / HTTPX client behavior applies |
+| Proxy handling | Environment proxies disabled for `127.0.0.1`, `localhost`, and `::1`; remote endpoints use the OpenAI client's usual behavior |
+| Input / output | Positional text or stdin; input is stripped and empty input is rejected; output is stripped and any emitted thinking block is removed |
+
+The client maps supported short language codes to Chinese language names in the prompt. Provide the full language name for a code outside its mapping. Its training-aligned prompt is:
+
+```text
+请将以下{source-language}文本翻译为{target-language}，直接输出翻译结果，不要进行任何解释。
+
+{source-text}
+```
+
+With `--source auto`, `{source-language}` is omitted. Prompt length, source text, and generated output all count toward the served context. Parameters left unspecified above are not assigned new fixed values by this model card.
 
 The shipped configuration sets `max_position_embeddings=262144`. The examples below use **`--max-model-len 32768`**, matching the GitHub 2B/9B Translate serving preset. Input plus output must fit within the served context, and available GPU memory constrains practical lengths. Increase the client output budget for longer translations.