Tasks and inputs
NexaAI/Qwen2-Audio-7B-GGUF is listed for Audio-text-to-text. It accepts audio, text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
Hugging Face repository for Audio-text-to-text.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
NexaAI/Qwen2-Audio-7B-GGUF is a Hugging Face repository returned by the public Audio-text-to-text task feed. Its recorded download count is 1,602 and it has 170 likes when the repository snapshot was collected. Popularity is useful for discovery, but it is not a performance ranking or a guarantee of suitability.
This record is categorized for Audio-text-to-text. A task category describes the intended machine-learning problem; it does not prove that every version, checkpoint, quantization, or deployment method produces the same quality. Teams should read the model card and test representative inputs before choosing it.
The public repository lists no library field as its library metadata. Its recorded tags include gguf, audio-text-to-text, chat, audio, GGUF, en, license:apache-2.0, endpoints_compatible. These source details are retained so readers can trace this directory entry back to the repository instead of relying on copied descriptions.
Use inputs that resemble deployment traffic, including difficult and out-of-domain cases. Compare output correctness, the response format, latency and memory requirements with a simple baseline under the same conditions.
Explore NexaAI models and the audio-text-to-text collection. Use the comparison tool to inspect a second candidate.
Compare the model on the work you need to complete.
NexaAI/Qwen2-Audio-7B-GGUF is listed for Audio-text-to-text. It accepts audio, text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
ACE-Step
ACE-Step/acestep-transcriber is a source-linked Hugging Face repository assigned to Audio-text-to-text. Its recorded task interface accepts audio, text and produces text.
ai-babai
Hugging Face repository for Audio-text-to-text.
bartowski
Hugging Face repository for Audio-text-to-text.
bartowski
bartowski/mistralai_Voxtral-Small-24B-2507-GGUF is a source-linked Hugging Face repository assigned to Audio-text-to-text. Its recorded task interface accepts audio, text and produces text.
cstr
Hugging Face repository for Audio-text-to-text.
DeSTA-ntu
Hugging Face repository for Audio-text-to-text.