Instructions to use FirstPotatoCoder/Furina_5e_fft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/Furina_5e_fft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="FirstPotatoCoder/Furina_5e_fft")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForTextToWaveform extractor = AutoFeatureExtractor.from_pretrained("FirstPotatoCoder/Furina_5e_fft") model = AutoModelForTextToWaveform.from_pretrained("FirstPotatoCoder/Furina_5e_fft") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use FirstPotatoCoder/Furina_5e_fft with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for FirstPotatoCoder/Furina_5e_fft to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for FirstPotatoCoder/Furina_5e_fft to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for FirstPotatoCoder/Furina_5e_fft to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="FirstPotatoCoder/Furina_5e_fft", max_seq_length=2048, )
Upload CsmForConditionalGeneration
Browse files- config.json +7 -4
- generation_config.json +3 -3
- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +1 -1
config.json
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"attention_bias": false,
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"attention_dropout": 0.0,
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"audio_eos_token_id": 128003,
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"audio_token_id": 128002,
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"bos_token_id": 128000,
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"codebook_eos_token_id": 0,
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"codebook_pad_token_id": 2050,
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"rope_theta": 10000.0,
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"sampling_rate": 24000,
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"sliding_window": 250,
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"torch_dtype": "
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"trim_right_ratio": 1.0,
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"upsample_groups": 512,
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"upsampling_ratios": [
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"use_conv_shortcut": false,
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"vector_quantization_hidden_dimension": 256
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},
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"depth_decoder_config": {
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"attention_bias": false,
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"attention_dropout": 0.0,
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"rope_type": "llama3"
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},
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"rope_theta": 500000,
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"torch_dtype": "
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"use_cache": true,
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"vocab_size": 2051
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},
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"num_codebooks": 32,
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"num_hidden_layers": 16,
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"num_key_value_heads": 8,
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"pad_token_id":
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 32.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.52.3",
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"unsloth_version": "2025.6.12",
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"use_cache": true,
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"vocab_size": 2051
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}
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"attention_bias": false,
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"attention_dropout": 0.0,
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"audio_eos_token_id": 128003,
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"audio_num_codebooks": 32,
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"audio_token_id": 128002,
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"audio_vocab_size": 2051,
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"backbone_flavor": "llama-1B",
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"bos_token_id": 128000,
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"codebook_eos_token_id": 0,
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"codebook_pad_token_id": 2050,
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"rope_theta": 10000.0,
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"sampling_rate": 24000,
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"sliding_window": 250,
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"torch_dtype": "float32",
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"trim_right_ratio": 1.0,
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"upsample_groups": 512,
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"upsampling_ratios": [
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"use_conv_shortcut": false,
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"vector_quantization_hidden_dimension": 256
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},
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"decoder_flavor": "llama-100M",
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"depth_decoder_config": {
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"attention_bias": false,
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"attention_dropout": 0.0,
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"rope_type": "llama3"
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},
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"rope_theta": 500000,
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"torch_dtype": "float32",
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"use_cache": true,
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"vocab_size": 2051
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},
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"num_codebooks": 32,
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"num_hidden_layers": 16,
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"num_key_value_heads": 8,
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"pad_token_id": 128002,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 32.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.52.3",
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"use_cache": true,
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"vocab_size": 2051
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}
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generation_config.json
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{
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"attn_implementation": "sdpa",
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"bos_token_id": 128000,
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"depth_decoder_do_sample": true,
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"depth_decoder_temperature": 0.9,
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"do_sample": true,
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"max_length": 2048,
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"max_new_tokens": 125,
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"pad_token_id":
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"temperature": 0.9,
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"transformers_version": "4.52.3"
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}
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{
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"bos_token_id": 128000,
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"depth_decoder_do_sample": true,
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"depth_decoder_max_new_tokens": 31,
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"depth_decoder_min_new_tokens": 31,
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"depth_decoder_temperature": 0.9,
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"do_sample": true,
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"max_new_tokens": 125,
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"pad_token_id": 128002,
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"temperature": 0.9,
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"transformers_version": "4.52.3"
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}
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model-00001-of-00002.safetensors
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size 4960077432
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model-00002-of-00002.safetensors
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