unsloth/csm-1b

text-to-speech model by unsloth

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✨ Run & Fine-tune TTS models with Unsloth! 2025/03/13 - We are releasing the 1B CSM variant. Code is available on GitHub: SesameAILabs/csm. CSM (Conversational Speech Model) is a speech generation model from Sesame that generates RVQ audio codes from text and audio inputs. The model architecture employs a Llama backbone and a smaller audio decoder that produces Mimi audio codes. A fine-tuned variant of CSM powers the interactive voice demo shown in our blog post. A hosted HuggingFace space is also available for testing audio generation. Setup the repo Generate a sentence CSM sounds best when provided with context. You can prompt or provide context to the model using a Segment for each speaker utterance. Does this model come with any voices? The model open sourced here is a base generation model. It is capable of producing a variety of voices, but it has not been fine-tuned on any…

unsloth/csm-1b on Hugging Face A short preview, not the full document.

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  1. CSM 1B
  2. Usage
  3. FAQ
  4. Misuse and abuse ⚠️

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Model overview

unsloth/csm-1b is a text-to-speech model repository published by unsloth on Hugging Face. A library was not reported.

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Model facts

Task
text-to-speech
Library
Not reported
Recent downloads (30 days)
8,581
Cumulative likes
23
Hugging Face trending score
0
Reported safetensors parameters
1,648,942,945
Architecture
CsmForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2025-05-15T04:43:17.000Z
Last modified
2025-05-15T21:52:51.000Z

Compatibility and lineage

Reported languages: en

Reported base models: sesame/csm-1b

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-20T06:35:55.223Z. Daily imports are snapshots, not real-time monitoring.

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