Phi-3-medium-128k-instruct-GGUF

Original Model

microsoft/Phi-3-medium-128k-instruct

Run with Gaianet

Prompt template

prompt template: phi-3-chat

Context size

chat_ctx_size: 5120

Run with GaiaNet

Quantized GGUF Models

Name Quant method Bits Size Use case
Phi-3-medium-128k-instruct-Q2_K.gguf Q2_K 2 5.14 GB smallest, significant quality loss - not recommended for most purposes
Phi-3-medium-128k-instruct-Q3_K_L.gguf Q3_K_L 3 7.49 GB small, substantial quality loss
Phi-3-medium-128k-instruct-Q3_K_M.gguf Q3_K_M 3 6.92 GB very small, high quality loss
Phi-3-medium-128k-instruct-Q3_K_S.gguf Q3_K_S 3 6.06 GB very small, high quality loss
Phi-3-medium-128k-instruct-Q4_0.gguf Q4_0 4 7.9 GB legacy; small, very high quality loss - prefer using Q3_K_M
Phi-3-medium-128k-instruct-Q4_K_M.gguf Q4_K_M 4 8.57 GB medium, balanced quality - recommended
Phi-3-medium-128k-instruct-Q4_K_S.gguf Q4_K_S 4 7.95 GB small, greater quality loss
Phi-3-medium-128k-instruct-Q5_0.gguf Q5_0 5 9.62 GB legacy; medium, balanced quality - prefer using Q4_K_M
Phi-3-medium-128k-instruct-Q5_K_M.gguf Q5_K_M 5 10.1 GB large, very low quality loss - recommended
Phi-3-medium-128k-instruct-Q5_K_S.gguf Q5_K_S 5 9.62 GB large, low quality loss - recommended
Phi-3-medium-128k-instruct-Q6_K.gguf Q6_K 6 11.5 GB very large, extremely low quality loss
Phi-3-medium-128k-instruct-Q8_0.gguf Q8_0 8 14.8 GB very large, extremely low quality loss - not recommended
Phi-3-medium-128k-instruct-f16.gguf f16 16 27.9 GB

Quantized with llama.cpp b2961.

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