phi-2

• Context Length: 2048

• Model Name: phi-2

• Languages: en

• Abilities: generate

• Description: Phi-2 is a 2.7B Transformer based LLM used for research on model safety, trained with data similar to Phi-1.5 but augmented with synthetic texts and curated websites.

Specifications

Model Spec 1 (ggufv2, 2 Billion)

• Model Format: ggufv2

• Model Size (in billions): 2

• Quantizations: Q2_K, Q3_K_S, Q3_K_M, Q3_K_L, Q4_0, Q4_K_S, Q4_K_M, Q5_0, Q5_K_S, Q5_K_M, Q6_K, Q8_0

• Model ID: TheBloke/phi-2-GGUF

• Model Hubs: Hugging Face

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-name phi-2 --size-in-billions 2 --model-format ggufv2 --quantization ${quantization}

Model Spec 2 (pytorch, 2 Billion)

• Model Format: pytorch

• Model Size (in billions): 2

• Quantizations: 4-bit, 8-bit, none

• Model ID: microsoft/phi-2

• Model Hubs: Hugging Face

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-name phi-2 --size-in-billions 2 --model-format pytorch --quantization ${quantization}