[!CAUTION] The gguf models have been updated! The conversion is done with llama.cpp b3463.
Phi-3-mini-4k-instruct-GGUF
Original Model
microsoft/Phi-3-mini-4k-instruct
Run with LlamaEdge
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LlamaEdge version: v0.12.2 and above
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Prompt template
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Prompt type:
phi-3-chat -
Prompt string
<|system|> {system_message}<|end|> <|user|> {user_message_1}<|end|> <|assistant|> {assistant_message_1}<|end|> <|user|> {user_message_2}<|end|> <|assistant|>
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Context size:
4000 -
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3-mini-4k-instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template phi-3-chat \ --ctx-size 4000 \ --model-name phi-3-mini -
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3-mini-4k-instruct-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template phi-3-chat \ --ctx-size 4000
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| Phi-3-mini-4k-instruct-Q2_K.gguf | Q2_K | 2 | 1.42 GB | smallest, significant quality loss - not recommended for most purposes |
| Phi-3-mini-4k-instruct-Q3_K_L.gguf | Q3_K_L | 3 | 2.09 GB | small, substantial quality loss |
| Phi-3-mini-4k-instruct-Q3_K_M.gguf | Q3_K_M | 3 | 1.96 GB | very small, high quality loss |
| Phi-3-mini-4k-instruct-Q3_K_S.gguf | Q3_K_S | 3 | 1.68 GB | very small, high quality loss |
| Phi-3-mini-4k-instruct-Q4_0.gguf | Q4_0 | 4 | 2.18 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Phi-3-mini-4k-instruct-Q4_K_M.gguf | Q4_K_M | 4 | 2.39 GB | medium, balanced quality - recommended |
| Phi-3-mini-4k-instruct-Q4_K_S.gguf | Q4_K_S | 4 | 2.19 GB | small, greater quality loss |
| Phi-3-mini-4k-instruct-Q5_0.gguf | Q5_0 | 5 | 2.64 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Phi-3-mini-4k-instruct-Q5_K_M.gguf | Q5_K_M | 5 | 2.82 GB | large, very low quality loss - recommended |
| Phi-3-mini-4k-instruct-Q5_K_S.gguf | Q5_K_S | 5 | 2.64 GB | large, low quality loss - recommended |
| Phi-3-mini-4k-instruct-Q6_K.gguf | Q6_K | 6 | 3.14 GB | very large, extremely low quality loss |
| Phi-3-mini-4k-instruct-Q8_0.gguf | Q8_0 | 8 | 4.06 GB | very large, extremely low quality loss - not recommended |
| Phi-3-mini-4k-instruct-f16.gguf | f16 | 16 | 7.64 GB |
Quantized with llama.cpp b3463.