--- base_model: microsoft/Phi-3.5-MoE-instruct license: mit license_link: https://huggingface.co/microsoft/Phi-3.5-MoE-instruct/resolve/main/LICENSE language: - multilingual pipeline_tag: text-generation library_name: transformers model_creator: Microsoft model_name: Phi-3.5-MoE-instruct quantized_by: Second State Inc. tags: - nlp - code ---

# Phi-3.5-MoE-instruct-GGUF ## Original Model [microsoft/Phi-3.5-MoE-instruct](https://huggingface.co/microsoft/Phi-3.5-MoE-instruct) ## Run with LlamaEdge - LlamaEdge version: [v0.16.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.16.0) 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: `128000` - Run as LlamaEdge service ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3.5-MoE-instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template phi-3-chat \ --ctx-size 128000 \ --model-name phi-3-moe ``` - Run as LlamaEdge command app ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3.5-MoE-instruct-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template phi-3-chat \ --ctx-size 128000 ``` ## Quantized GGUF Models | Name | Quant method | Bits | Size | Use case | | ---- | ---- | ---- | ---- | ----- | | [Phi-3.5-MoE-instruct-Q2_K.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-Q2_K.gguf) | Q2_K | 2 | 15.3 GB| smallest, significant quality loss - not recommended for most purposes | | [Phi-3.5-MoE-instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 21.7 GB| small, substantial quality loss | | [Phi-3.5-MoE-instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 20.0 GB| very small, high quality loss | | [Phi-3.5-MoE-instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 18.1 GB| very small, high quality loss | | [Phi-3.5-MoE-instruct-Q4_0.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-Q4_0.gguf) | Q4_0 | 4 | 23.6 GB| legacy; small, very high quality loss - prefer using Q3_K_M | | [Phi-3.5-MoE-instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 25.3 GB| medium, balanced quality - recommended | | [Phi-3.5-MoE-instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 23.8 GB| small, greater quality loss | | [Phi-3.5-MoE-instruct-Q5_0.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-Q5_0.gguf) | Q5_0 | 5 | 28.8 GB| legacy; medium, balanced quality - prefer using Q4_K_M | | [Phi-3.5-MoE-instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 29.7 GB| large, very low quality loss - recommended | | [Phi-3.5-MoE-instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 28.8 GB| large, low quality loss - recommended | | [Phi-3.5-MoE-instruct-Q6_K.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-Q6_K.gguf) | Q6_K | 6 | 34.4 GB| very large, extremely low quality loss | | [Phi-3.5-MoE-instruct-Q8_0.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-Q8_0.gguf) | Q8_0 | 8 | 44.5 GB| very large, extremely low quality loss - not recommended | | [Phi-3.5-MoE-instruct-f16-00001-of-00003.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-f16-00001-of-00003.gguf) | f16 | 16 | 29.8 GB| | | [Phi-3.5-MoE-instruct-f16-00002-of-00003.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-f16-00002-of-00003.gguf) | f16 | 16 | 29.4 GB| | | [Phi-3.5-MoE-instruct-f16-00003-of-00003.gguf](https://huggingface.co/second-state/Phi-3.5-MoE-instruct-GGUF/blob/main/Phi-3.5-MoE-instruct-f16-00003-of-00003.gguf) | f16 | 16 | 24.5 GB| | *Quantized with llama.cpp b4462.*