Phi-2-GGUF
Original Model
Run with LlamaEdge
LlamaEdge version: v0.2.8 and above
Prompt template
Prompt type:
phi-2-instruct
Prompt string
Instruct: <prompt>\nOutput:
Context size:
2560
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:phi-2-Q5_K_M.gguf llama-chat.wasm -p phi-2-instruct
Note that
phi-2
here is only used as an instruct model, instead of a chat model.
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
phi-2-Q2_K.gguf | Q2_K | 2 | 1.11 GB | smallest, significant quality loss - not recommended for most purposes |
phi-2-Q3_K_L.gguf | Q3_K_L | 3 | 1.58 GB | small, substantial quality loss |
phi-2-Q3_K_M.gguf | Q3_K_M | 3 | 1.43 GB | very small, high quality loss |
phi-2-Q3_K_S.gguf | Q3_K_S | 3 | 1.25 GB | very small, high quality loss |
phi-2-Q4_0.gguf | Q4_0 | 4 | 1.60 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
phi-2-Q4_K_M.gguf | Q4_K_M | 4 | 1.74 GB | medium, balanced quality - recommended |
phi-2-Q4_K_S.gguf | Q4_K_S | 4 | 1.63 GB | small, greater quality loss |
phi-2-Q5_0.gguf | Q5_0 | 5 | 1.93 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
phi-2-Q5_K_M.gguf | Q5_K_M | 5 | 2.00 GB | large, very low quality loss - recommended |
phi-2-Q5_K_S.gguf | Q5_K_S | 5 | 1.93 GB | large, low quality loss - recommended |
phi-2-Q6_K.gguf | Q6_K | 6 | 2.29 GB | very large, extremely low quality loss |
phi-2-Q8_0.gguf | Q8_0 | 8 | 2.96 GB | very large, extremely low quality loss - not recommended |
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Model tree for second-state/phi-2-GGUF
Base model
microsoft/phi-2
Quantized
this model