--- base_model: microsoft/Phi-3-mini-4k-instruct license: mit license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE language: - en pipeline_tag: text-generation model_creator: Microsoft model_name: Phi 3 mini 4k instruct model_type: phi-msft quantized_by: Second State Inc. tags: - nlp - code ---

# Phi-3-mini-4k-instruct-GGUF ## Original Model [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) ## Run with LlamaEdge - LlamaEdge version: [v0.8.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.8.4) and above - Prompt template - Prompt type: `phi-3-chat` - Prompt string ```text <|system|> {system_message}<|end|> <|user|> {user_message_1}<|end|> <|assistant|> {assistant_message_1}<|end|> <|user|> {user_message_2}<|end|> <|assistant|> ``` - Context size: `4000` - Run as LlamaEdge service ```bash 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 ```bash 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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/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](https://huggingface.co/second-state/Phi-3-mini-4k-instruct-GGUF/blob/main/Phi-3-mini-4k-instruct-f16.gguf) | f16 | 16 | 7.64 GB| | *Quantized with llama.cpp b3333.*