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cstr/omniasr-llm-300m-v2-GGUF overview

OmniASR LLM 300M — GGUF GGUF conversion of facebook/omniASR LLM 300M https://huggingface.co/facebook/omniASR LLM 300M for use with CrispASR https://github.com/…

ggufspeechasrggmlomniasrautomatic-speech-recognitionenmultilingualbase_model:facebook/omniASR-LLM-300Mbase_model:quantized:facebook/omniASR-LLM-300Mlicense:apache-2.0region:us

Runs locally from ~1018.2 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
1,608
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Pipeline
automatic-speech-recognition
Author

Repository Files & Downloads

3 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
omniasr-llm-300m-v2-f16.ggufGGUFF163.03 GBDownload
omniasr-llm-300m-v2-q4_k.ggufGGUFQ4_K1018.2 MBDownload
omniasr-llm-300m-v2-q8_0.ggufGGUFQ8_01.71 GBDownload

Model Details

Model IDcstr/omniasr-llm-300m-v2-GGUF
Authorcstr
Pipelineautomatic-speech-recognition
Licenseapache-2.0
Base modelfacebook/omniASR-LLM-300M
Last modified2026-08-02T15:34:23.000Z

Model README

---

license: apache-2.0

language:

  • en
  • multilingual

tags:

  • speech
  • asr
  • gguf
  • ggml
  • omniasr

pipeline_tag: automatic-speech-recognition

base_model: facebook/omniASR-LLM-300M

---

OmniASR LLM-300M — GGUF

GGUF conversion of facebook/omniASR-LLM-300M for use with CrispASR.

OmniASR is Meta's multilingual ASR model family supporting 1600+ languages. Apache-2.0 license.

Autoregressive LLM decoder with language conditioning. Near-perfect English output.

Files

| File | Size |

| --- | ---: |

| omniasr-llm-300m-v2-f16.gguf | 3.0 GB |

| omniasr-llm-300m-v2-q4_k.gguf | 1018 MB |

| omniasr-llm-300m-v2-q8_0.gguf | 1.7 GB |

Quick Start

git clone https://github.com/CrispStrobe/CrispASR && cd CrispASR
cmake -B build -DCMAKE_BUILD_TYPE=Release && cmake --build build -j$(nproc)

./build/bin/crispasr --backend omniasr-llm -m auto --auto-download -f audio.wav

Conversion

Converted using CrispASR's converter scripts with fixed positional conv weight normalization (per-kernel-position norm, not per-output-channel).

Provenance and EU AI Act Art. 53 note

  • Upstream model: facebook/omniASR-LLM-300M — published by facebook.
  • 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/GGML). 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.

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