mispeech/midashenglm-0.6b-gguf
mispeech/midashenglm-0.6b-gguf is a audio text to text model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
What to verify before deployment
- Confirm the exact weight format and quantization.
- Measure memory at your intended context or image size.
- Review model-card limitations and evaluation methodology.
- Test latency and throughput on your target runtime.
Likely commercial-friendly
License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.
Verify at the source →More audio-text-to-text models
mispeech/midashenglm-0.6b-fp32
mispeech/midashenglm-0.6b-fp32 is a audio text to text model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
mispeech/midashenglm-0.6b-gguf
mispeech/midashenglm-0.6b-gguf is a audio text to text model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
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xiazhimi/midashenglm-0.6b-fp32
xiazhimi/midashenglm-0.6b-fp32 is a audio text to text model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
akashicmarga/Nemotron-Labs-Audex-2B-MLX-4bit
akashicmarga/Nemotron-Labs-Audex-2B-MLX-4bit is a audio text to text model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
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