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second-state/phi-4-GGUF
phi-4-GGUF is a text generation model from second-state. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
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Downloads · 30 days
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.gguf141 GB · 100%
From the Hugging Face model README
LlamaEdge version: v0.16.0 and above
Prompt template
Prompt type: phi-4-chat
Prompt string
<|im_start|>system<|im_sep|>
{system_message}<|im_end|>
<|im_start|>user<|im_sep|>
{user_message}<|im_end|>
<|im_start|>assistant<|im_sep|>
Context size: 16000
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:phi-4-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template phi-4-chat \
--ctx-size 16000 \
--model-name phi-4
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:phi-4-Q5_K_M.gguf \
llama-chat.wasm \
--prompt-template phi-4-chat \
--ctx-size 16000
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| phi-4-Q2_K.gguf | Q2_K | 2 | 5.55 GB | smallest, significant quality loss - not recommended for most purposes |
| phi-4-Q3_K_L.gguf | Q3_K_L | 3 | 7.93 GB | small, substantial quality loss |
| phi-4-Q3_K_M.gguf | Q3_K_M | 3 | 7.36 GB | very small, high quality loss |
| phi-4-Q3_K_S.gguf | Q3_K_S | 3 | 6.50 GB | very small, high quality loss |
| phi-4-Q4_0.gguf | Q4_0 | 4 | 8.38 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| phi-4-Q4_K_M.gguf | Q4_K_M | 4 | 9.05 GB | medium, balanced quality - recommended |
| phi-4-Q4_K_S.gguf | Q4_K_S | 4 | 8.44 GB | small, greater quality loss |
| phi-4-Q5_0.gguf | Q5_0 | 5 | 10.2 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| phi-4-Q5_K_M.gguf | Q5_K_M | 5 | 10.6 GB | large, very low quality loss - recommended |
| phi-4-Q5_K_S.gguf | Q5_K_S | 5 | 10.2 GB | large, low quality loss - recommended |
| phi-4-Q6_K.gguf | Q6_K | 6 | 12.0 GB | very large, extremely low quality loss |
| phi-4-Q8_0.gguf | Q8_0 | 8 | 15.6 GB | very large, extremely low quality loss - not recommended |
| phi-4-f16.gguf | f16 | 16 | 29.3 GB |
Quantized with llama.cpp b4450.