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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ pipeline_tag: text-to-speech
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+ library_name: rlx
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+ tags:
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+ - gepard
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+ - tts
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+ - rlx
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+ ---
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+
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+ # Gepard-1.0 (RLX staging)
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+
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+ Gepard TTS + NanoCodec decoder weights for RLX.
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+
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+ **Kind:** Staging redistrib of an upstream checkpoint for RLX runners.
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+
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+ **Suggested Hub repo:** `eugenehp/gepard`
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+
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+ **Upstream:** https://huggingface.co/nineninesix/gepard-1.0
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+
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+ **RLX crate:** [`rlx-gepard`](https://github.com/MIT-RLX/rlx-models/tree/main/crates/rlx-gepard)
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+
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+ ## Contents
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+
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+ Weight tensors and configs in this directory (see file listing on the Hub).
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+
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+ ## Run with RLX
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+
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+ From [rlx-models](https://github.com/MIT-RLX/rlx-models) with this directory as the model path:
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+
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+ ```bash
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+ cargo run -p rlx-gepard --release -- --weights . --text "Hello." --out out.wav
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+ ```
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+
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+ ## License
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+
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+ Apache License 2.0 — see `LICENSE`. Inherit upstream terms when redistributing.
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+
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+ Original weights and authorship: https://huggingface.co/nineninesix/gepard-1.0
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+
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+ ## Staging note
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+
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+ Prepared from the local `weights/` tree in [rlx-models](https://github.com/MIT-RLX/rlx-models) for a future standalone Hub upload. Prefer fetching upstream when this is only a redistrib.
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+ "initializer_range": 0.02,
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+ "use_cache": true,
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+ "attention_dropout": 0.0,
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+ "head_dim": 256,
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+ "rope_parameters": {
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+ "mrope_interleaved": true,
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+ ],
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+ "rope_type": "default",
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+ "rope_theta": 10000000,
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+ "partial_rotary_factor": 1.0
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+ },
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+ "layer_types": [
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention"
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+ ],
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+ "linear_conv_kernel_dim": 4,
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+ "linear_key_head_dim": 128,
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+ "linear_num_key_heads": 16,
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+ "full_attention_interval": 4,
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+ "model_type": "qwen3_5_text",
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+ },
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+ "stop_loss_weight": 2.0,
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