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OuteTTS-0.2-500M-GGUF

Original Model

OuteAI/OuteTTS-0.2-500M

Run with LlamaEdge

• LlamaEdge version: coming soon

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
OuteTTS-0.2-500M-Q2_K.gguf	Q2_K	2	344 MB	smallest, significant quality loss - not recommended for most purposes
OuteTTS-0.2-500M-Q3_K_L.gguf	Q3_K_L	3	375 MB	small, substantial quality loss
OuteTTS-0.2-500M-Q3_K_M.gguf	Q3_K_M	3	361 MB	very small, high quality loss
OuteTTS-0.2-500M-Q3_K_S.gguf	Q3_K_S	3	344 MB	very small, high quality loss
OuteTTS-0.2-500M-Q4_0.gguf	Q4_0	4	358 MB	legacy; small, very high quality loss - prefer using Q3_K_M
OuteTTS-0.2-500M-Q4_K_M.gguf	Q4_K_M	4	403 MB	medium, balanced quality - recommended
OuteTTS-0.2-500M-Q4_K_S.gguf	Q4_K_S	4	391 MB	small, greater quality loss
OuteTTS-0.2-500M-Q5_0.gguf	Q5_0	5	402 MB	legacy; medium, balanced quality - prefer using Q4_K_M
OuteTTS-0.2-500M-Q5_K_M.gguf	Q5_K_M	5	426 MB	large, very low quality loss - recommended
OuteTTS-0.2-500M-Q5_K_S.gguf	Q5_K_S	5	418 MB	large, low quality loss - recommended
OuteTTS-0.2-500M-Q6_K.gguf	Q6_K	6	511 MB	very large, extremely low quality loss
OuteTTS-0.2-500M-Q8_0.gguf	Q8_0	8	537 MB	very large, extremely low quality loss - not recommended
OuteTTS-0.2-500M-f16.gguf	f16	16	1.00 GB
wavtokenizer-large-75-ggml-f16.gguf	f16	16	1.00 GB

Quantized with llama.cpp b4381