Consider S1 mini model for transcript cleanup. #1888

Today20092 · 2026-08-27T11:30:11Z

Today20092
Aug 27, 2026

Ai summary of the links from groq:
Tell me about these two ;

https://huggingface.co/superwhisper/s1-mini

S1 is Superwhisper’s 2026 dictation-model family: cloud ASR (S1-Voice), cloud cleanup (S1-Language), and a tiny open-weights local cleaner (S1-mini). [1] The Hugging Face page is the public release of that local model, not a speech recognizer. [2]

Superwhisper S1 family

Superwhisper trained the S1 models in-house for noisy offices, whispered speech, and technical dictation, without training on customer data. [3] In the app they recommend offline: Cohere Transcribe + S1-mini, or cloud: S1-Voice + S1-Language. [3]

S1-Voice is Superwhisper-hosted speech-to-text. They claim most sub-30s dictations appear about 0.32s after you stop, and report a 6.8% average WER across eight datasets (2.2% on LibriSpeech), beating 15 models they tested, with a blended score of 83 vs Wispr Flow’s 76. [3]
S1-Language is Superwhisper-hosted instruction-following cleanup: format, summarize, custom modes. It sits in the picker next to Anthropic, OpenAI, and Groq models. [3]
S1-mini is the only one you can self-host. It is a 0.6B post-processor that cleans ASR text locally with no network. [1]

S1-Voice and S1-Language stay cloud-only. [1]

S1-mini on Hugging Face

S1-mini is a text normalizer, fine-tuned from Qwen3-0.6B: fillers out, self-corrections resolved to the last intended words, punctuation/caps, spoken numbers/dates/currency/emails/URLs rendered as writing. [2] It is English-only in v1, not a chat model, and will not add facts, soften profanity, or rewrite dialect. [3]

Spec	Value
Unique params	596M (Hub shows ~0.8B because embeddings are counted twice) [2]
Quantized size	~462 MiB GGUF, laptop CPU [1]
Input	Up to ~1,000 tokens; chunk longer audio [2]
License	Apache 2.0 plus a naming clause: keep “S1-mini” by “Superwhisper” [2]

On 7,519 held-out cases they report 94.8% token accuracy, 11.6% text-edit error, 97.6% list-vs-prose structure, 99.3%/97.9% email greeting/sign-off, and empty output 98.6% of the time when there is nothing to transcribe. [3]

How you steer it

Every request needs the exact system prompt plus a control line, then the raw lowercase ASR text: [2]

[Styling: …] [Structure: …] [Context: …]

Styling: casual, semi-casual, semi-formal (default), formal
Structure: prose or lists (lists only if there are ≥3 real items)
Context: general or email (greeting + body + sign-off)

Decode greedily (temperature 0). Qwen3 thinking must be off (enable_thinking=False); leave it on and you usually get a blank <think> block. [2] GGUF builds live at superwhisper/s1-mini-GGUF for llama.cpp, Ollama, and LM Studio. [2]

Typical pipeline: audio → ASR (Whisper, Parakeet, Cohere, etc.) → S1-mini → readable text. [2] That matches local-AI / dictation work if you already transcribe on-device and only want cleanup without a cloud language model.

Citations:
[1] Meet S1-mini: Superwhisper's 462 MB Open-Weights Text ... https://www.marktechpost.com/2026/08/20/meet-s1-mini-superwhispers-462-mb-open-weights-text-normalizer-that-turns-raw-asr-transcripts-into-clean-written-text/
[2] superwhisper/s1-mini - Hugging Face https://huggingface.co/superwhisper/s1-mini
[3] S1-Language https://superwhisper.com/blog/s1
[4] superwhisper/s1-mini at main - Hugging Face https://huggingface.co/superwhisper/s1-mini/tree/main
[5] Commits · superwhisper/s1-mini-GGUF - Hugging Face https://huggingface.co/superwhisper/s1-mini-GGUF/commits/main/s1-mini-q4_k_m.gguf
[6] Superwhisper releases S1-mini, a small open-weights transcript model https://daily.dev/posts/superwhisper-releases-s1-mini-a-small-open-weights-transcript-model-d8vgvsqox
[7] superwhisper/s1-mini · Hugging Face | Mike Wilkes - LinkedIn https://www.linkedin.com/posts/eclectiqus_superwhispers1-mini-hugging-face-activity-7495941548744785921-ihdU
[8] S1-mini by Superwhisper running 100% locally in the browser on ... https://www.reddit.com/r/LocalLLaMA/comments/1vsze11/s1mini_by_superwhisper_running_100_locally_in_the/
[9] Voice - Superwhisper https://superwhisper.com/docs/models/voice
[10] superwhisper/s1-mini : r/LocalLLM - Reddit https://www.reddit.com/r/LocalLLM/comments/1vxxty1/superwhispers1mini/
[11] Changelog - Superwhisper https://superwhisper.com/changelog
[12] Quantized Models for superwhisper/s1-mini - Hugging Face https://huggingface.co/models?other=base_model:quantized:superwhisper/s1-mini
[13] Superwhisper Release Notes - August 2026 Latest Updates https://releasebot.io/updates/superwhisper
[14] Fine-tuned Models for superwhisper/s1-mini - Hugging Face https://huggingface.co/models?other=base_model:finetune:superwhisper/s1-mini
[15] Using S1 models while actually whispering : r/superwhisper - Reddit https://www.reddit.com/r/superwhisper/comments/1r0zt14/using_s1_models_while_actually_whispering/