Publish Stream-1 Mini FP32, F16 and Q4_K_M

.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+stream-1-mini-f16.gguf filter=lfs diff=lfs merge=lfs -text
+stream-1-mini-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,66 @@
+Stream-1 Mini License, Version 1.0
+
+Copyright 2026 Lanreal Technologies Inc., to the extent copyright subsists
+in its contributions.
+
+Stream-1 Mini is a modified model based on Qwen/Qwen3-0.6B-Base.
+The upstream work is Copyright 2024 Alibaba Cloud and is licensed under
+the Apache License, Version 2.0. A complete copy of that license is included
+in LICENSE-APACHE-2.0 and forms part of this license.
+
+1. License grant
+
+Lanreal Technologies Inc. licenses its contributions and the combined
+Stream-1 Mini model under the Apache License, Version 2.0, together with
+the additional identification condition below. This grant permits personal
+and commercial use, modification, redistribution, and integration into
+products and services, subject to these terms. No royalty or registration
+is required. The Apache patent grant, patent-litigation termination,
+warranty disclaimer, and limitation of liability apply as stated there.
+
+2. Identification condition
+
+When using, distributing, or integrating Stream-1 Mini, including a
+modified version or a model derived from it, you must retain a reasonably
+accessible identification of its origin as "Stream-1 Mini" by
+"Whisperstream", using that spelling and capitalization.
+
+For a product or service, the identification may appear in its model
+description, documentation, About screen, or third-party notices. For
+distributed model files, include it in the accompanying model card or
+notices. Private use may satisfy this condition by retaining the supplied
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+
+Identify modified versions as modified or derived; do not represent them
+as an official, unmodified Whisperstream release. A suitable statement is:
+"Derived from Stream-1 Mini by Whisperstream. Modified by [your name]."
+
+This condition applies to Lanreal's contributions and the combined model
+as licensed here. It does not restrict rights independently granted in
+the original Qwen work under Apache-2.0, or apply to an independently
+created model that does not include Lanreal's contributions.
+
+3. Notices and trademarks
+
+Preserve the applicable copyright, license, modification, and attribution
+notices required by Apache-2.0. Include this license, LICENSE-APACHE-2.0,
+and the applicable NOTICE when redistributing the model or a derivative.
+
+You may use the names Stream-1 Mini and Whisperstream to provide the
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+does not require you to imply any such relationship.
+
+4. Scope
+
+This license covers the model weights and the accompanying configuration,
+tokenizer modifications, template, prompts, and documentation to the
+extent Lanreal has rights to license them. Upstream components retain
+their own notices and rights. It does not license private training data,
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+represent that generated outputs are accurate, unique, or free of
+third-party rights.
+
+This is a custom license with an additional identification condition.
+It must not be represented as unmodified Apache-2.0.

LICENSE-APACHE-2.0

@@ -0,0 +1,202 @@
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NOTICE

@@ -0,0 +1,20 @@
+Stream-1 Mini by Whisperstream
+Copyright 2026 Lanreal Technologies Inc., to the extent copyright subsists
+in its contributions.
+
+Based on Qwen/Qwen3-0.6B-Base, Copyright 2024 Alibaba Cloud.
+Upstream revision: da87bfb608c14b7cf20ba1ce41287e8de496c0cd
+https://huggingface.co/Qwen/Qwen3-0.6B-Base/tree/da87bfb608c14b7cf20ba1ce41287e8de496c0cd
+
+Changes by Lanreal: task-specific supervised fine-tuning for dictation
+cleanup, merged adapter weights, separately retained embedding and output
+weights, a plain ChatML template without a thinking preamble, associated
+configuration and prompts, and GGUF conversion/quantization.
+
+The weights, configuration and tokenizer distribution are modified from
+the original upstream distribution. The original Apache-2.0 license is
+provided in LICENSE-APACHE-2.0. Stream-1 Mini's additional identification
+condition appears in LICENSE, not in this informational notice.
+
+Qwen and Alibaba Cloud are credited as upstream sources. Their names do
+not imply endorsement of this release.

README.md

@@ -0,0 +1,209 @@
+---
+license: other
+license_name: stream-1-mini-license
+license_link: LICENSE
+language:
+- en
+base_model: Qwen/Qwen3-0.6B-Base
+base_model_relation: finetune
+pipeline_tag: text-generation
+tags:
+- qwen3
+- dictation
+- text-normalization
+- text-generation
+- gguf
+---
+
+# Stream-1 Mini by Whisperstream
+
+Stream-1 Mini turns English dictation transcripts into clean Chat and Email
+text on your own device. It is trained to remove fillers and accidental repeats,
+add punctuation, and resolve spoken corrections while preserving your meaning
+and voice. Email mode also formats dictated greetings, paragraphs and sign-offs.
+
+Pass in text from your speech recognizer. Stream-1 Mini returns the cleaned text.
+
+| Specification | Value |
+| --- | --- |
+| Task | English dictation cleanup |
+| Modes | Chat and Email |
+| Base model | [Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base/tree/da87bfb608c14b7cf20ba1ce41287e8de496c0cd) |
+| Parameters | 751,632,384, with separate input embeddings and output weights |
+| Formats | Full-precision FP32 Safetensors, F16 GGUF and Q4_K_M GGUF |
+| GGUF download | 484,216,768 bytes (about 484 MB) |
+| Tested context | 4,096 tokens, with up to 512 output tokens |
+| License | [Stream-1 Mini License](LICENSE), permitting commercial use with attribution |
+
+## Examples
+
+These newly authored synthetic examples show raw outputs from the Q4_K_M model
+using the included prompts. They illustrate usage and are not an accuracy
+benchmark.
+
+**Chat input**
+
+```text
+um let's meet on tuesday no wednesday at three pm
+```
+
+**Chat output**
+
+```text
+Let's meet on Wednesday at 3 p.m.
+```
+
+**Email input**
+
+```text
+hi alex um thanks for sending the draft i'll review it tomorrow
+```
+
+**Email output**
+
+```text
+Hi Alex,
+
+Thanks for sending the draft. I'll review it tomorrow.
+```
+
+## Quickstart
+
+Use Python 3, the
+[Hugging Face CLI](https://huggingface.co/docs/huggingface_hub/guides/cli) (`hf`), and
+[llama.cpp b10537](https://github.com/ggml-org/llama.cpp/releases/tag/b10537).
+Download the model and its prompts into a local folder:
+
+```shell
+hf download lanreal-io/stream-1-mini stream-1-mini-q4_k_m.gguf prompts.json chat_template.jinja --local-dir stream-1-mini
+```
+
+Start the CPU server. On Windows, the executable may be named `llama-server.exe`.
+
+```shell
+llama-server -m stream-1-mini/stream-1-mini-q4_k_m.gguf --host 127.0.0.1 --port 8080 -c 4096 -b 256 -t 6 -np 1 -ngl 0 --chat-template-file stream-1-mini/chat_template.jinja
+```
+
+Save this as `clean.py` beside the `stream-1-mini` folder. It sends one dictation
+to the local server:
+
+```python
+import json
+from pathlib import Path
+from urllib.request import Request, urlopen
+
+prompts = json.loads(Path("stream-1-mini/prompts.json").read_text(encoding="utf-8"))
+mode = "chat"  # Use "email" for Email mode.
+transcript = "um let's meet on tuesday no wednesday at three pm"
+
+payload = {
+    "messages": [
+        {"role": "system", "content": prompts[mode]},
+        {"role": "user", "content": f"<TRANSCRIPT>{transcript}</TRANSCRIPT>"},
+    ],
+    "temperature": 0,
+    "top_k": 1,
+    "top_p": 1,
+    "repeat_penalty": 1,
+    "max_tokens": 512,
+    "cache_prompt": True,
+}
+request = Request(
+    "http://127.0.0.1:8080/v1/chat/completions",
+    data=json.dumps(payload).encode("utf-8"),
+    headers={"Content-Type": "application/json"},
+)
+with urlopen(request, timeout=120) as response:
+    choice = json.load(response)["choices"][0]
+if choice["finish_reason"] != "stop":
+    raise RuntimeError("Cleanup did not finish. Keep the original transcript.")
+print(choice["message"]["content"])
+```
+
+In another terminal, run `python clean.py` from that same folder. Change `mode`
+to `"email"` and replace `transcript` to try Email mode. Keep each request limited
+to its current transcript.
+
+## Files
+
+The full-precision distribution contains four FP32 Safetensors shards, their
+index, tokenizer, configuration and chat template. It supports further
+modification without starting from quantized weights. Those full-precision
+weights are the retained source of the GGUF conversion; the evaluation below
+applies specifically to Q4_K_M with the stated serving setup.
+
+`stream-1-mini-f16.gguf` provides the 16-bit GGUF export for llama.cpp-compatible
+runtimes. It contains 1,509,344,192 bytes (about 1.51 GB).
+
+`stream-1-mini-q4_k_m.gguf` is the selected inference artifact. It contains
+484,216,768 bytes; SHA256:
+
+```text
+ec447cdd8dbbcdedca8fe0722db662835a9c6d8b7b9fec6ffd359d057e709910
+```
+
+`prompts.json` contains the exact Chat and Email system prompts. Keep these
+prompts and the supplied template together with the model. See `LICENSE`,
+`LICENSE-APACHE-2.0`, and `NOTICE` for terms and attribution.
+
+## Integration notes
+
+> [!IMPORTANT]
+> Use the chosen mode's system prompt and one user message containing only the
+> current transcript, enclosed by `<TRANSCRIPT>` and `</TRANSCRIPT>`. Render with
+> the supplied plain ChatML template, add the assistant generation prefix and
+> do not inject a thinking preamble or conversation history.
+
+The evaluated configuration used llama.cpp b10537 on CPU, six threads,
+4,096-token context, batch size 256, one slot and one request at a time.
+Decode greedily: temperature 0, top-k 1, top-p 1, repeat penalty 1, and at most
+512 output tokens. Stop at the end-of-turn token. The training/export stop IDs
+are 151643 and 151645; the GGUF end-of-turn ID is 151645.
+
+Enable prefix caching and keep Chat and Email sessions separate. Reuse a prompt
+prefix without adding earlier dictations to the current request. Reject
+incomplete or invalid generations and retain the original transcript when
+cleanup fails. Users should be able to inspect and recover the original text.
+
+## Training and evaluation
+
+Stream-1 Mini was fine-tuned from fresh Qwen3-0.6B-Base using LoRA. The training
+file contained 6,144 weighted entries representing 4,964 distinct example IDs.
+The corpus combines synthetic examples and owner-provided material, with
+model-assisted authoring, labeling and subsequent review. Training data is not
+included in this release.
+
+On an internal 200-case challenge set, the selected Q4 configuration had 169
+passes, 28 warnings, one hard cleanup failure and two critical meaning failures
+after application guards and owner adjudication. These are results for the
+tested pipeline, not unguarded model accuracy or estimated production error
+rates. The model was selected after reviewing these results; this is not an
+independent, untouched test of the final selection.
+
+In that native harness, median request time was 839 ms and p95 was 1,840 ms,
+with prefix reuse observed on 198 of 200 requests. These measurements exclude
+model startup, speech recognition, app routing and text insertion. They are
+specific to the test environment and do not promise performance on other
+hardware.
+
+## Limitations
+
+> [!WARNING]
+> The model can change meaning, retain an incorrect number after a correction,
+> or infer the wrong numeric scale. Review names, numbers, restrictions and
+> other consequential details before relying on cleaned text.
+
+This release has not established support for code, arbitrary style controls,
+multilingual cleanup or general question answering. Instructions within a
+transcript should remain dictated content. The model has not been validated
+for medical, legal or other high-stakes decisions. Smaller quantizations and
+changed prompts may behave differently.
+
+## License
+
+> [!IMPORTANT]
+> Personal and commercial use, modification and redistribution are permitted
+> under the [Stream-1 Mini License](LICENSE), which combines Apache-2.0 terms
+> with an identification requirement for **Stream-1 Mini by Whisperstream**.
+> This is a custom license, not unmodified Apache-2.0. See the license for
+> permitted attribution locations and treatment of modified versions.

SHA256SUMS

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+9880cfde6f96ee18ad29574a8f3243c7f6bf513efbd77ca844265725e157a22a  NOTICE
+66441491ab8d8a1af6a6f2a7f695264f0a303895505e23725ef7fe2bd361c133  README.md
+f50aaf2c17f8309032eaf48bb97349c02c01ceab6aaa70c8263bbfa0fc758050  chat_template.jinja
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+ec447cdd8dbbcdedca8fe0722db662835a9c6d8b7b9fec6ffd359d057e709910  stream-1-mini-q4_k_m.gguf
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chat_template.jinja

@@ -0,0 +1,7 @@
+{#- Stream-1 Mini uses plain ChatML without a thinking preamble. -#}
+{%- for message in messages -%}
+{{- '<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n' -}}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+{{- '<|im_start|>assistant\n' -}}
+{%- endif -%}

config.json

@@ -0,0 +1,63 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "float32",
+  "eos_token_id": 151643,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
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prompts.json

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+}

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tokenizer.json

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+size 11422650

tokenizer_config.json

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+  "eos_token": "<|im_end|>",
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+    "<|object_ref_start|>",
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