Instructions to use aufklarer/PersonaPlex-7B-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aufklarer/PersonaPlex-7B-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir PersonaPlex-7B-MLX-8bit aufklarer/PersonaPlex-7B-MLX-8bit
- Moshi
How to use aufklarer/PersonaPlex-7B-MLX-8bit with Moshi:
# pip install moshi # Run the interactive web server python -m moshi.server --hf-repo "aufklarer/PersonaPlex-7B-MLX-8bit" # Then open https://localhost:8998 in your browser
# pip install moshi import torch from moshi.models import loaders # Load checkpoint info from HuggingFace checkpoint = loaders.CheckpointInfo.from_hf_repo("aufklarer/PersonaPlex-7B-MLX-8bit") # Load the Mimi audio codec mimi = checkpoint.get_mimi(device="cuda") mimi.set_num_codebooks(8) # Encode audio (24kHz, mono) wav = torch.randn(1, 1, 24000 * 10) # [batch, channels, samples] with torch.no_grad(): codes = mimi.encode(wav.cuda()) decoded = mimi.decode(codes) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Upload PersonaPlex 7B MLX 4-bit weights
Browse files- config.json +96 -0
- depformer.safetensors +3 -0
- embeddings.safetensors +3 -0
- mimi.safetensors +3 -0
- temporal.safetensors +3 -0
- tokenizer_spm_32k_3.model +3 -0
- voices/NATF0.safetensors +3 -0
- voices/NATF1.safetensors +3 -0
- voices/NATF2.safetensors +3 -0
- voices/NATF3.safetensors +3 -0
- voices/NATM0.safetensors +3 -0
- voices/NATM1.safetensors +3 -0
- voices/NATM2.safetensors +3 -0
- voices/NATM3.safetensors +3 -0
- voices/VARF0.safetensors +3 -0
- voices/VARF1.safetensors +3 -0
- voices/VARF2.safetensors +3 -0
- voices/VARF3.safetensors +3 -0
- voices/VARF4.safetensors +3 -0
- voices/VARM0.safetensors +3 -0
- voices/VARM1.safetensors +3 -0
- voices/VARM2.safetensors +3 -0
- voices/VARM3.safetensors +3 -0
- voices/VARM4.safetensors +3 -0
- voices/voices/NATF0.pt +3 -0
- voices/voices/NATF1.pt +3 -0
- voices/voices/NATF2.pt +3 -0
- voices/voices/NATF3.pt +3 -0
- voices/voices/NATM0.pt +3 -0
- voices/voices/NATM1.pt +3 -0
- voices/voices/NATM2.pt +3 -0
- voices/voices/NATM3.pt +3 -0
- voices/voices/VARF0.pt +3 -0
- voices/voices/VARF1.pt +3 -0
- voices/voices/VARF2.pt +3 -0
- voices/voices/VARF3.pt +3 -0
- voices/voices/VARF4.pt +3 -0
- voices/voices/VARM0.pt +3 -0
- voices/voices/VARM1.pt +3 -0
- voices/voices/VARM2.pt +3 -0
- voices/voices/VARM3.pt +3 -0
- voices/voices/VARM4.pt +3 -0
config.json
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{
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"model_type": "personaplex",
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"version": "personaplex-7b-v1",
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"base_model": "kyutai/moshiko-pytorch-bf16",
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| 5 |
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"temporal": {
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"dim": 4096,
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| 7 |
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"num_layers": 32,
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| 8 |
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"num_heads": 32,
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| 9 |
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"hidden_scale": 4.125,
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"n_q": 8,
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"card": 2048,
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"text_card": 32000,
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| 13 |
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"context": 3000,
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| 14 |
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"max_period": 10000
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},
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| 16 |
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"depformer": {
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"dim": 1024,
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| 18 |
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"num_layers": 6,
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| 19 |
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"num_heads": 16,
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| 20 |
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"dim_feedforward": 2816,
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| 21 |
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"num_steps": 16,
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| 22 |
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"card": 2048,
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| 23 |
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"text_card": 32000,
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"context": 8,
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| 25 |
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"weights_per_step": true,
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"multi_linear": true
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},
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| 28 |
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"mimi": {
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| 29 |
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"sample_rate": 24000,
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| 30 |
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"frame_rate": 12.5,
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| 31 |
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"num_codebooks": 16,
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| 32 |
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"codebook_size": 2048,
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| 33 |
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"codebook_dim": 256,
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| 34 |
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"dimension": 512,
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| 35 |
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"seanet_ratios": [
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8,
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6,
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| 38 |
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5,
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| 39 |
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4
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],
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| 41 |
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"transformer_layers": 8
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},
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"sampling": {
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| 44 |
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"audio_temp": 0.8,
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| 45 |
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"audio_top_k": 250,
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"text_temp": 0.7,
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"text_top_k": 25
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},
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"delays": [
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0,
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],
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"quantization": {
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"bits": 8,
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| 70 |
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"group_size": 64,
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| 71 |
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"quantized_components": [
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| 72 |
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"temporal",
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| 73 |
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"depformer"
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| 74 |
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]
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},
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"voices": [
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| 77 |
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"NATF0",
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"NATF1",
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"NATF2",
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| 80 |
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"NATF3",
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| 81 |
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"NATM0",
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"NATM1",
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| 83 |
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"NATM2",
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"NATM3",
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| 85 |
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"VARF0",
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| 86 |
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"VARF1",
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"VARF2",
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"VARF3",
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"VARF4",
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"VARM0",
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"VARM1",
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"VARM2",
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"VARM3",
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"VARM4"
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]
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}
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depformer.safetensors
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embeddings.safetensors
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mimi.safetensors
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temporal.safetensors
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tokenizer_spm_32k_3.model
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voices/NATF0.safetensors
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voices/NATF1.safetensors
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voices/NATF2.safetensors
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voices/NATF3.safetensors
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voices/NATM0.safetensors
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voices/NATM1.safetensors
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voices/NATM2.safetensors
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voices/NATM3.safetensors
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voices/VARF0.safetensors
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voices/VARF1.safetensors
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voices/VARF2.safetensors
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voices/VARF3.safetensors
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voices/VARF4.safetensors
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voices/VARM0.safetensors
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voices/VARM1.safetensors
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voices/VARM2.safetensors
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voices/VARM3.safetensors
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voices/VARM4.safetensors
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voices/voices/NATF0.pt
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voices/voices/NATF1.pt
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voices/voices/NATF2.pt
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voices/voices/NATM1.pt
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voices/voices/VARM0.pt
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voices/voices/VARM3.pt
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