Model Intelligence Sheet
mradermacher/salt-qwen2.5-0.5b-asr-tts-gguf overview
About static quants of https://huggingface.co/Vikhrmodels/salt-qwen2.5-0.5b-asr-tts weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Downloads
143
Likes
0
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
12 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| salt-qwen2.5-0.5b-asr-tts.IQ4_XS.gguf | GGUF | IQ4_XS | 343.48 MB | Download |
| salt-qwen2.5-0.5b-asr-tts.Q2_K.gguf | GGUF | Q2_K | 331.24 MB | Download |
| salt-qwen2.5-0.5b-asr-tts.Q3_K_L.gguf | GGUF | Q3_K_L | 360.57 MB | Download |
| salt-qwen2.5-0.5b-asr-tts.Q3_K_M.gguf | GGUF | Q3_K_M | 347.32 MB | Download |
| salt-qwen2.5-0.5b-asr-tts.Q3_K_S.gguf | GGUF | Q3_K_S | 330.91 MB | Download |
| salt-qwen2.5-0.5b-asr-tts.Q4_K_M.gguf | GGUF | Q4_K_M | 387.70 MB | Download |
| salt-qwen2.5-0.5b-asr-tts.Q4_K_S.gguf | GGUF | Q4_K_S | 375.93 MB | Download |
| salt-qwen2.5-0.5b-asr-tts.Q5_K_M.gguf | GGUF | Q5_K_M | 408.95 MB | Download |
| salt-qwen2.5-0.5b-asr-tts.Q5_K_S.gguf | GGUF | Q5_K_S | 401.91 MB | Download |
| salt-qwen2.5-0.5b-asr-tts.Q6_K.gguf | GGUF | Q6_K | 490.63 MB | Download |
| salt-qwen2.5-0.5b-asr-tts.Q8_0.gguf | GGUF | — | 514.79 MB | Download |
| salt-qwen2.5-0.5b-asr-tts.f16.gguf | GGUF | F16 | 963.59 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "Vikhrmodels/salt-qwen2.5-0.5b-asr-tts",
"datasets": [
"openslr/librispeech_asr",
"amphion/Emilia-Dataset",
"its5Q/bigger-ru-book",
"mozilla-foundation/common_voice_12_0"
],
"language": [
"en",
"ru",
"uk"
],
"library_name": "transformers",
"quantized_by": "mradermacher",
"frontmatter": {
"base_model": "Vikhrmodels/salt-qwen2.5-0.5b-asr-tts",
"datasets": [
"openslr/librispeech_asr",
"amphion/Emilia-Dataset",
"its5Q/bigger-ru-book",
"mozilla-foundation/common_voice_12_0"
],
"language": [
"en",
"ru",
"uk"
],
"library_name": "transformers",
"quantized_by": "mradermacher"
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/Vikhrmodels/salt-qwen2.5-0.5b-asr-tts weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: Vikhrmodels/salt-qwen2.5-0.5b-asr-tts\ndatasets:\n- openslr/librispeech_asr\n- amphion/Emilia-Dataset\n- its5Q/bigger-ru-book\n- mozilla-foundation/common_voice_12_0\nlanguage:\n- en\n- ru\n- uk\nlibrary_name: transformers\nquantized_by: mradermacher\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\nstatic quants of https://huggingface.co/Vikhrmodels/salt-qwen2.5-0.5b-asr-tts\n\n<!-- provided-files -->\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF/resolve/main/salt-qwen2.5-0.5b-asr-tts.Q3_K_S.gguf) | Q3_K_S | 0.4 | |\n| [GGUF](https://huggingface.co/mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF/resolve/main/salt-qwen2.5-0.5b-asr-tts.Q2_K.gguf) | Q2_K | 0.4 | |\n| [GGUF](https://huggingface.co/mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF/resolve/main/salt-qwen2.5-0.5b-asr-tts.IQ4_XS.gguf) | IQ4_XS | 0.5 | |\n| [GGUF](https://huggingface.co/mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF/resolve/main/salt-qwen2.5-0.5b-asr-tts.Q3_K_M.gguf) | Q3_K_M | 0.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF/resolve/main/salt-qwen2.5-0.5b-asr-tts.Q3_K_L.gguf) | Q3_K_L | 0.5 | |\n| [GGUF](https://huggingface.co/mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF/resolve/main/salt-qwen2.5-0.5b-asr-tts.Q4_K_S.gguf) | Q4_K_S | 0.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF/resolve/main/salt-qwen2.5-0.5b-asr-tts.Q4_K_M.gguf) | Q4_K_M | 0.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF/resolve/main/salt-qwen2.5-0.5b-asr-tts.Q5_K_S.gguf) | Q5_K_S | 0.5 | |\n| [GGUF](https://huggingface.co/mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF/resolve/main/salt-qwen2.5-0.5b-asr-tts.Q5_K_M.gguf) | Q5_K_M | 0.5 | |\n| [GGUF](https://huggingface.co/mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF/resolve/main/salt-qwen2.5-0.5b-asr-tts.Q6_K.gguf) | Q6_K | 0.6 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF/resolve/main/salt-qwen2.5-0.5b-asr-tts.Q8_0.gguf) | Q8_0 | 0.6 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF/resolve/main/salt-qwen2.5-0.5b-asr-tts.f16.gguf) | f16 | 1.1 | 16 bpw, overkill |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"en",
"ru",
"uk",
"dataset:openslr/librispeech_asr",
"dataset:amphion/Emilia-Dataset",
"dataset:its5Q/bigger-ru-book",
"dataset:mozilla-foundation/common_voice_12_0",
"base_model:Vikhrmodels/salt-qwen2.5-0.5b-asr-tts",
"base_model:quantized:Vikhrmodels/salt-qwen2.5-0.5b-asr-tts",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 143,
"gated": false,
"private": false,
"last_modified": "2025-05-10T22:13:35.000Z",
"created_at": "2025-05-10T22:06:15.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "681fcdd76501adf8e4024210",
"id": "mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF",
"modelId": "mradermacher/salt-qwen2.5-0.5b-asr-tts-GGUF",
"sha": "ca1028ffe337a2e76e1e292338dd6ecbfcc84384",
"createdAt": "2025-05-10T22:06:15.000Z",
"lastModified": "2025-05-10T22:13:35.000Z",
"author": "mradermacher",
"downloads": 143,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "transformers",
"siblings_count": 14
}