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metadata
base_model: microsoft/phi-2
inference: false
language:
  - en
license: other
license_link: https://huggingface.co/microsoft/phi-3/resolve/main/LICENSE
license_name: microsoft-research-license
model_creator: Microsoft
model_name: Phi 3
model_type: phi-msft
pipeline_tag: text-generation
prompt_template: |
  Instruct: {prompt}
  Output:
quantized_by: HDKLK
tags:
  - nlp
  - code

Provided files

Name Quant method Bits Size Max RAM required Use case
Phi-3-mini-128k-instructQ2_K.gguf Q2_K 2 1.42 GB 3.67 GB smallest, significant quality loss - not recommended for most purposes
Phi-3-mini-128k-instructQ3_K_L.gguf Q3_K_L 3 2.09 GB 4.10 GB small, substantial quality loss
Phi-3-mini-128k-instructQ3_K_M.gguf Q3_K_M 3 1.96 GB 3.98 GB very small, high quality loss
Phi-3-mini-128k-instructQ3_K_S.gguf Q3_K_S 3 1.68 GB 3.75 GB very small, high quality loss
Phi-3-mini-128k-instructQ4_K_M.gguf Q4_K_M 4 2.39 GB 4.29 GB medium, balanced quality - recommended
Phi-3-mini-128k-instructQ4_K_S.gguf Q4_K_S 4 2.19 GB 4.12 GB small, greater quality loss
Phi-3-mini-128k-instructQ5_K_M.gguf Q5_K_M 5 2.82 GB 4.57 GB large, very low quality loss - recommended
Phi-3-mini-128k-instructQ5_K_S.gguf Q5_K_S 5 2.64 GB 4.43 GB large, low quality loss - recommended
Phi-3-mini-128k-instructQ6_K.gguf Q6_K 6 3.14 GB 4.79 GB very large, extremely low quality loss
Phi-3-mini-128k-instructQ8_0.gguf Q8_0 8 4.06 GB 5.46 GB very large, extremely low quality loss - not recommended

How to download GGUF files

The following clients/libraries will automatically download models for you, providing a list of available models to choose from:

  • LM Studio
  • LoLLMS Web UI
  • Faraday.dev