OmniASR-LLM-Unlimited-300M-v2 — GGUF

Architecture

• Input: raw 16 kHz mono PCM (no mel features)
• Frontend: 7-layer CNN positional conv stack
• Encoder: 24-layer transformer (1024-dim, 4096 FFN, 16 heads), vocab=9812
• Projection: enc_proj bridge to decoder
• Decoder: 12-layer LLaMA (4096-dim, 2816 FFN, 8 heads)
• Tokenizer: SentencePiece; output: UTF-8 text
• Unlimited mode: 15s-segment streaming for audio of any length

Files

Usage

License

Credits

• Original model: Meta / facebookresearch
• GGUF conversion & runtime: CrispASR

Provenance and EU AI Act Art. 53 note

• Upstream model: facebookresearch/omnilingual-asr (Meta OmniASR-LLM-Unlimited-300M-v2).
• Upstream licence: apache-2.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
• What was done here: format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
• Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
• Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.