MODEL PROFILE

Drama-3-GGUF

Jmica · Drama-3-GGUF

Experimental native audio.cpp conversions of Fish Audio Drama 3, prepared from checkpoint revision `dd64a85cd82e9521f7202610ede97b367fc83946`. All packages use the same trained model architecture and checkpoint. **Standard GGML K-quants with mixed precision.** The packages use Q2_K, Q3_K_S and Q4_K_S file profiles with pure expert banks and explicit precision overrides. Routed expert tensors use Q2_K, Q3_K and Q4_K storage respectively. `backbone-8bit` means Q8_0 language-backbone matrices; `backbone-4bit` means Q4_K matrices with a Q4_0 text embedding. The table below lists the precision overrides. Audio-tower matrices and waveform codec weights remain FP16; audio-tower normalization and other retained FP32 vectors are unchanged. The Q3_K_S and Q4_K_S file profiles use pure expert banks: all 120 routed expert projection banks have uniform Q3_K or Q4_K storage. Their storage-type selection corresponds to a standard `--pure` K profile with explicit precision overrides for the dense backbone, text embedding and audio components. Architecture-specific higher-bit promotion heuristics are not applied; an unmodified default llama.cpp preset can choose different types for some tensors. See the standard converter's pure and per-tensor options. The native audio.cpp converter takes `--expert-type q3_k` or `--expert-type q4_k`. The table above lists each component's actual storage type.

Speech synthesislicense:other
Context windowNot disclosed
Input → OutputText → Audio
Model weightsNot verified
Profile updated2026/10/29 02:52:23
OVERVIEW

Model overview

Experimental native audio.cpp conversions of Fish Audio Drama 3, prepared from checkpoint revision `dd64a85cd82e9521f7202610ede97b367fc83946`. All packages use the same trained model architecture and checkpoint. **Standard GGML K-quants with mixed precision.** The packages use Q2_K, Q3_K_S and Q4_K_S file profiles with pure expert banks and explicit precision overrides. Routed expert tensors use Q2_K, Q3_K and Q4_K storage respectively. `backbone-8bit` means Q8_0 language-backbone matrices; `backbone-4bit` means Q4_K matrices with a Q4_0 text embedding. The table below lists the precision overrides. Audio-tower matrices and waveform codec weights remain FP16; audio-tower normalization and other retained FP32 vectors are unchanged. The Q3_K_S and Q4_K_S file profiles use pure expert banks: all 120 routed expert projection banks have uniform Q3_K or Q4_K storage. Their storage-type selection corresponds to a standard `--pure` K profile with explicit precision overrides for the dense backbone, text embedding and audio components. Architecture-specific higher-bit promotion heuristics are not applied; an unmodified default llama.cpp preset can choose different types for some tensors. See the standard converter's pure and per-tensor options. The native audio.cpp converter takes `--expert-type q3_k` or `--expert-type q4_k`. The table above lists each component's actual storage type.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:other。模型介绍与第三方评测均以原来源的具体版本和方法为准。