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Add Orpheus full fine-tune weights + base tokenizer

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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ tags:
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+ - text-to-speech
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+ - orpheus
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+ - llama
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+ base_model: canopylabs/orpheus-3b-0.1-pretrained
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+ ---
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+
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+ # Orpheus full fine-tune (merged weights)
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+
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+ This repository contains **full fine-tuned causal LM weights** from **vaghawan/eng-pigdin-mix-full-ft-mar-29-orpheus** (``checkpoint-1408``),
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+ packaged with the **tokenizer** from **canopylabs/orpheus-3b-0.1-pretrained** for inference with the Orpheus / SNAC stack.
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+
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+ ## Load
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+
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ model = AutoModelForCausalLM.from_pretrained("vaghawan/orpheus-model-full", torch_dtype="auto", device_map="auto")
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+ tokenizer = AutoTokenizer.from_pretrained("vaghawan/orpheus-model-full")
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+ ```
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+
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+ ## Source
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+
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+ - Weights: [vaghawan/eng-pigdin-mix-full-ft-mar-29-orpheus](https://huggingface.co/vaghawan/eng-pigdin-mix-full-ft-mar-29-orpheus) ``checkpoint-1408``
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+ - Tokenizer: [canopylabs/orpheus-3b-0.1-pretrained](https://huggingface.co/canopylabs/orpheus-3b-0.1-pretrained)
config.json ADDED
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+ {
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 128000,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_hidden_layers": 28,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": null,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_parameters": {
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+ "factor": 32.0,
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+ "low_freq_factor": 1.0,
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+ "original_max_position_embeddings": 8192,
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+ "rope_theta": 500000.0,
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+ "rope_type": "llama3"
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+ },
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+ "tie_word_embeddings": true,
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+ "transformers_version": "5.4.0",
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+ "use_cache": false,
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+ "vocab_size": 156939
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+ }
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+ {
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+ "additional_special_tokens": [
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+ "<|audio|>"
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