ibm-granite/granite-speech-4.1-2b 🔢📝🖼️✓❓ → 📝
Performance
1.0sTypical run time
~190sCold start (first call)
2.4KTotal runs
About
Granite Speech 4.1 2B is a compact and efficient speech-language model, specifically designed for multilingual automatic speech recognition (ASR) and bidirectional automatic speech translation (AST) for English, French, German, Spanish, Portuguese and Jap
Example Output
Prompt:
"Transcribe the speech with proper punctuation and capitalization."
Output
For Timothy was a spoiled cat, and he allowed no one to interfere. Everybody waited upon him, moving their chairs even, for he was monarch of the hearth. Dinarzade la nuit suivante appela sa soeur quand il en fut temps. "Si vous ne dormez pas, ma soeur," lui dit-elle, "je vous prie en attendant le jour qui paraîtra bientôt de continuer le conte du pêcheur."
Performance Metrics
0.98s
Prediction Time
189.65s
Total Time
All Input Parameters
{
"stop": [],
"audio": [
"https://replicate.delivery/pbxt/P0OA5HkTXIub9q1K36laUYjwGVuZj0jnllQgon11DFWTFCWu/multilingual_sample.wav"
],
"top_k": 50,
"top_p": 0.9,
"prompt": "Transcribe the speech with proper punctuation and capitalization.",
"stream": false,
"messages": [],
"min_tokens": 0,
"temperature": 0.2,
"chat_template_kwargs": {},
"add_generation_prompt": true
}
Input Parameters
- seed
- Random seed. Leave unspecified to randomize the seed.
- stop
- A list of sequences to stop generation at. For example, ["<end>","<stop>"] will stop generation at the first instance of "<end>" or "<stop>".
- audio
- Completion API Audio input.
- top_k
- The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering).
- top_p
- A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).
- prompt
- Completion API user prompt.
- stream
- Request streaming response.
- messages
- Chat completion API messages.
- max_tokens
- max_tokens is deprecated in favor of the max_completion_tokens field.
- min_tokens
- The minimum number of tokens the model should generate as output.
- temperature
- The value used to modulate the next token probabilities.
- chat_template
- A template to format the prompt with. If not specified, the chat template provided by the model will be used.
- system_prompt
- Completion API system prompt. The chat template provides a good default.
- presence_penalty
- Presence penalty
- frequency_penalty
- Frequency penalty
- repetition_penalty
- Repetition penalty
- chat_template_kwargs
- Additional arguments to be passed to the chat template.
- add_generation_prompt
- Add generation prompt. Passed to the chat template. Defaults to True.
- max_completion_tokens
- An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and reasoning tokens.
Output Schema
Output
Example Execution Logs
INFO 04-28 12:55:08 [predict.py:354] predict() commencing request_id=2 INFO 04-28 12:55:08 [logger.py:63] Received request chatcmpl-2: params: SamplingParams(n=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.0, temperature=0.2, top_p=0.9, top_k=50, min_p=0.0, seed=None, stop=[], stop_token_ids=[], bad_words=[], thinking_token_budget=None, include_stop_str_in_output=False, ignore_eos=False, max_tokens=3825, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, structured_outputs=None, extra_args=None), lora_request: None. DEBUG 04-28 12:55:08 [predict.py:475] finish_reason=stop response_text=For Timothy was a spoiled cat, and he allowed no one to interfere. Everybody waited upon him, moving their chairs even, for he was monarch of the hearth. Dinarzade la nuit suivante appela sa soeur quand il en fut temps. "Si vous ne dormez pas, ma soeur," lui dit-elle, "je vous prie en attendant le jour qui paraîtra bientôt de continuer le conte du pêcheur." INFO 04-28 12:55:08 [predict.py:481] Generation took 0.60s DEBUG 04-28 12:55:08 [predict.py:484] prompt_tokens=271, completion_tokens=98, total_tokens=369 INFO 04-28 12:55:08 [predict.py:493] predict() completed request_id=2
Version Details
- Version ID
25d7a190df066d4623579c05619cafb1eeff766ee0bdce4d8b7c82726ca93e58- Version Created
- May 26, 2026