metadata

license: mit
license_link: https://huggingface.co./microsoft/phi-4/resolve/main/LICENSE
language:
  - en
pipeline_tag: text-generation
tags:
  - phi
  - nlp
  - math
  - code
  - chat
  - conversational
  - llama-cpp
  - gguf-my-repo
inference:
  parameters:
    temperature: 0
widget:
  - messages:
      - role: user
        content: How should I explain the Internet?
library_name: transformers
base_model: microsoft/phi-4

Triangle104/phi-4-Q4_K_M-GGUF

This model was converted to GGUF format from microsoft/phi-4 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Model details:

Developers

Microsoft Research

Description

phi-4 is a state-of-the-art open model built upon a blend of synthetic datasets, data from filtered public domain websites, and acquired academic books and Q&A datasets. The goal of this approach was to ensure that small capable models were trained with data focused on high quality and advanced reasoning.

phi-4 underwent a rigorous enhancement and alignment process, incorporating both supervised fine-tuning and direct preference optimization to ensure precise instruction adherence and robust safety measures

Architecture

14B parameters, dense decoder-only Transformer model

Inputs

Text, best suited for prompts in the chat format

Context length

16K tokens

GPUs

1920 H100-80G

Training time

21 days

Training data

9.8T tokens

Outputs

Generated text in response to input

Dates

October 2024 – November 2024

Status

Static model trained on an offline dataset with cutoff dates of June 2024 and earlier for publicly available data

Release date

December 12, 2024

License

MIT

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Triangle104/phi-4-Q4_K_M-GGUF --hf-file phi-4-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/phi-4-Q4_K_M-GGUF --hf-file phi-4-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo Triangle104/phi-4-Q4_K_M-GGUF --hf-file phi-4-q4_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Triangle104/phi-4-Q4_K_M-GGUF --hf-file phi-4-q4_k_m.gguf -c 2048