ggml-org/sesame-csm-1b-gguf - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
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ggml-org/sesame-csm-1b-gguf overview
Comprehensive model page for ggml-org/sesame-csm-1b-gguf
Downloads
177
Likes
8
Pipeline
text-to-speech
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "apache-2.0",
"language": [
"en"
],
"pipeline_tag": "text-to-speech",
"tags": [
"model_hub_mixin",
"pytorch_model_hub_mixin",
"text-to-speech"
],
"frontmatter": {
"license": "apache-2.0",
"language": [
"en"
],
"pipeline_tag": "text-to-speech",
"tags": [
"model_hub_mixin",
"pytorch_model_hub_mixin",
"text-to-speech"
]
},
"hero_image_url": "",
"summary": "",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlicense: apache-2.0\nlanguage:\n - en\npipeline_tag: text-to-speech\ntags:\n - model_hub_mixin\n - pytorch_model_hub_mixin\n - text-to-speech\n---\n\n## CSM 1B GGUF\n\nOriginal model: https://huggingface.co/sesame/csm-1b\n\nRead more here: https://github.com/ggml-org/llama.cpp/pull/12648\n",
"related_quantizations": []
},
"tags": [
"gguf",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"text-to-speech",
"en",
"license:apache-2.0",
"region:us"
],
"likes": 8,
"downloads": 177,
"gated": false,
"private": false,
"last_modified": "2025-03-30T14:48:04.000Z",
"created_at": "2025-03-30T12:05:35.000Z",
"pipeline_tag": "text-to-speech",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "67e9338f4579bd8158b9801e",
"id": "ggml-org/sesame-csm-1b-GGUF",
"modelId": "ggml-org/sesame-csm-1b-GGUF",
"sha": "2106cacbdc1bf45f6453dd5eb61261114092697f",
"createdAt": "2025-03-30T12:05:35.000Z",
"lastModified": "2025-03-30T14:48:04.000Z",
"author": "ggml-org",
"downloads": 177,
"likes": 8,
"gated": false,
"private": false,
"pipeline_tag": "text-to-speech",
"library_name": "",
"siblings_count": 5
}