**Built From Fish Audio.** This is a fine-tuned and quantized derivative of Fish Audio Drama 3. Fish Audio does not sponsor or endorse it. Drama 3 follows an acting direction at the start of a line, but it mostly ignores one placed in the middle: `[calm] It's fine, really. [voice breaking] I just miss her.` tends to stay calm, or to go silent at the second direction. drama3-expressive-medium was fine-tuned to change delivery where the direction says. It also speaks the whole line and ends cleanly far more often. It keeps all 256 experts and runs in 24 GB of VRAM. No reference audio: each sample's seed makes up its own voice, speaking the line's language (`--task tts` with no `voice_ref`). The first table keeps the words fixed and changes only the opening direction; the second changes the delivery mid-line.

Speech synthesis

Input Text→ Output Audio

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drama3-small-GGUF

pentacoxian-dev

**Built with Fish Audio.** This is a compressed derivative of Fish Audio Drama 3. Fish Audio does not sponsor or endorse it. drama3-small keeps Drama 3's expressive Japanese and English voice cloning: inline tags, English style directions and director's notes. It should fit in 12 GB of VRAM. The 35B-A3B mixture-of-experts backbone was pruned to 45% of its expert slots and quantized to about 3 bits. It was then distilled back towards the original on Japanese and English speech. All samples come from this GGUF in one take, cloned from a 29-second Japanese reference recording of the repo owner's voice (used with consent).

Speech synthesis

Input Text→ Output Audio

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iris-3b-turbo-lora

pentacoxian-dev

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Image generation

Input Text→ Output Image

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Qwen3.8-Flash-Next-IQ3E-Q8D-MTP-GGUF

pentacoxian-dev

This is a single-file GGUF of Qwen/Qwen3.8-Flash-Next with the model's multi-token-prediction (MTP) head added back in. The mix of quantizations is chosen so that every routed expert fits in 2× 32 GB of VRAM, and the MTP head lets llama.cpp decode speculatively. This model and patch is specifically tuned for dual Nvidia Tesla V100(32GB VRAM). > **This file needs a patched llama.cpp.** It uses the `qwen4exp` architecture with > MTP (`nextn`) tensors. Stock llama.cpp, Ollama and LM Studio cannot load it. See > Runtime. - unsloth GGUF revision `c8b5954a88c2775c546b92593eda40ea041d3176`. - Qwen checkpoint revision `de4b8e4d43b917e7706784d8bb445c9af86a3540`. Only the `mtp.*` tensors are taken from it.

Text generation

Input Text→ Output Text

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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DeepSeek-V4.1-1017-Ablitrated-Efficient

drama3-expressive-medium-GGUF

drama3-small-GGUF

iris-3b-turbo-lora

Qwen3.8-Flash-Next-IQ3E-Q8D-MTP-GGUF

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