Instructions to use Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF", dtype="auto")

llama-cpp-python

How to use Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF",
	filename="unsloth.Q4_K_M.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF with Ollama:
```
ollama run hf.co/Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF:Q4_K_M
```

Unsloth Studio

How to use Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF to start chatting

Docker Model Runner
How to use Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF with Docker Model Runner:
```
docker model run hf.co/Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF:Q4_K_M
```

Lemonade

How to use Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF-Q4_K_M

List all available models

lemonade list

Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF / README.md

Quazim0t0

Update README.md

e1e8fe0 verified 14 days ago

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metadata

language:
  - en
license: apache-2.0
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - llama
  - gguf
base_model: unsloth/phi-4-unsloth-bnb-4bit
datasets:
  - bespokelabs/Bespoke-Stratos-17k
  - bespokelabs/Bespoke-Stratos-35k
  - NovaSky-AI/Sky-T1_data_17k
  - Quazim0t0/BenfordsLawReasoningJSON
  - open-thoughts/OpenThoughts-114k
model-index:
  - name: Phi4.Turn.R1Distill_v1.5.1-Tensors
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval (0-Shot)
          type: HuggingFaceH4/ifeval
          args:
            num_few_shot: 0
        metrics:
          - type: inst_level_strict_acc and prompt_level_strict_acc
            value: 29.95
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BBH (3-Shot)
          type: BBH
          args:
            num_few_shot: 3
        metrics:
          - type: acc_norm
            value: 49.22
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH Lvl 5 (4-Shot)
          type: hendrycks/competition_math
          args:
            num_few_shot: 4
        metrics:
          - type: exact_match
            value: 1.59
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-shot)
          type: Idavidrein/gpqa
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 2.46
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MuSR (0-shot)
          type: TAUR-Lab/MuSR
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 7.04
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU-PRO (5-shot)
          type: TIGER-Lab/MMLU-Pro
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 45.75
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors
          name: Open LLM Leaderboard

TurnPhi Project

Note: This project is old in comparison to existing models. This was made in early 2025 and has Legacy Evaluation Results.