OuteTTS-0.3-1B-GGUF

Original Model

OuteAI/OuteTTS-0.3-1B

Run with LlamaEdge

  • LlamaEdge version: coming soon

Quantized GGUF Models

Name Quant method Bits Size Use case
OuteTTS-0.3-1B-Q2_K.gguf Q2_K 2 491 MB smallest, significant quality loss - not recommended for most purposes
OuteTTS-0.3-1B-Q3_K_L.gguf Q3_K_L 3 663 MB small, substantial quality loss
OuteTTS-0.3-1B-Q3_K_M.gguf Q3_K_M 3 616 MB very small, high quality loss
OuteTTS-0.3-1B-Q3_K_S.gguf Q3_K_S 3 560 MB very small, high quality loss
OuteTTS-0.3-1B-Q4_0.gguf Q4_0 4 702 MB legacy; small, very high quality loss - prefer using Q3_K_M
OuteTTS-0.3-1B-Q4_K_M.gguf Q4_K_M 4 745 MB medium, balanced quality - recommended
OuteTTS-0.3-1B-Q4_K_S.gguf Q4_K_S 4 709 MB small, greater quality loss
OuteTTS-0.3-1B-Q5_0.gguf Q5_0 5 836 MB legacy; medium, balanced quality - prefer using Q4_K_M
OuteTTS-0.3-1B-Q5_K_M.gguf Q5_K_M 5 859 MB large, very low quality loss - recommended
OuteTTS-0.3-1B-Q5_K_S.gguf Q5_K_S 5 836 MB large, low quality loss - recommended
OuteTTS-0.3-1B-Q6_K.gguf Q6_K 6 979 MB very large, extremely low quality loss
OuteTTS-0.3-1B-Q8_0.gguf Q8_0 8 1.27 GB very large, extremely low quality loss - not recommended
OuteTTS-0.3-1B-f16.gguf f16 16 2.38 GB
wavtokenizer-large-75-ggml-f16.gguf f16 16 1.00 GB

Quantized with llama.cpp b4497

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