Instructions to use majentik/Qwen3-ASR-0.6B-MLX-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use majentik/Qwen3-ASR-0.6B-MLX-6bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-ASR-0.6B-MLX-6bit majentik/Qwen3-ASR-0.6B-MLX-6bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 2,526 Bytes
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"architectures": [
"Qwen3ASRForConditionalGeneration"
],
"audio_config": {
"activation_dropout": 0,
"activation_function": "gelu",
"attention_dropout": 0,
"conv_chunksize": 500,
"d_model": 896,
"downsample_hidden_size": 480,
"dropout": 0,
"encoder_attention_heads": 14,
"encoder_ffn_dim": 3584,
"encoder_layers": 18,
"initializer_range": 0.02,
"max_position_embeddings": 13,
"model_type": "qwen3_asr_encoder",
"n_window": 50,
"n_window_infer": 800,
"num_key_value_heads": 14,
"num_mel_bins": 128,
"output_dim": 1024,
"scale_embedding": false
},
"audio_token_id": 151676,
"dtype": "bfloat16",
"eos_token_id": [
151643,
151645
],
"initializer_range": 0.02,
"model_type": "qwen3_asr",
"pad_token_id": 151645,
"text_config": {
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": null,
"eos_token_id": null,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_types": [
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"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 65536,
"max_window_layers": 28,
"model_type": "qwen3",
"num_attention_heads": 16,
"num_hidden_layers": 28,
"num_key_value_heads": 8,
"pad_token_id": null,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 1000000,
"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": true,
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
},
"tie_word_embeddings": true,
"timestamp_token_id": 151705,
"token_classification_bias": false,
"transformers_version": "5.13.0.dev0",
"quantization": {
"group_size": 64,
"bits": 6
},
"quantization_config": {
"group_size": 64,
"bits": 6
}
} |