Instructions to use rahulshetty/phi3-mini-jql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rahulshetty/phi3-mini-jql with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("rahulshetty/phi3-mini-jql", dtype="auto")

llama-cpp-python

How to use rahulshetty/phi3-mini-jql with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="rahulshetty/phi3-mini-jql",
	filename="phi3-mini-jql-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

llama.cpp

How to use rahulshetty/phi3-mini-jql with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf rahulshetty/phi3-mini-jql:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf rahulshetty/phi3-mini-jql:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf rahulshetty/phi3-mini-jql:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf rahulshetty/phi3-mini-jql: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 rahulshetty/phi3-mini-jql:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf rahulshetty/phi3-mini-jql: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 rahulshetty/phi3-mini-jql:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf rahulshetty/phi3-mini-jql:Q4_K_M

Use Docker

docker model run hf.co/rahulshetty/phi3-mini-jql:Q4_K_M

LM Studio
Jan
Ollama
How to use rahulshetty/phi3-mini-jql with Ollama:
```
ollama run hf.co/rahulshetty/phi3-mini-jql:Q4_K_M
```

Unsloth Studio new

How to use rahulshetty/phi3-mini-jql 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 rahulshetty/phi3-mini-jql 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 rahulshetty/phi3-mini-jql to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for rahulshetty/phi3-mini-jql to start chatting

Docker Model Runner
How to use rahulshetty/phi3-mini-jql with Docker Model Runner:
```
docker model run hf.co/rahulshetty/phi3-mini-jql:Q4_K_M
```

Lemonade

How to use rahulshetty/phi3-mini-jql with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull rahulshetty/phi3-mini-jql:Q4_K_M

Run and chat with the model

lemonade run user.phi3-mini-jql-Q4_K_M

List all available models

lemonade list

OSError: rahulshetty/phi3-mini-jql does not appear to have a file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt or flax_model.msgpack.

by CKK2002 - opened Feb 18, 2025

Discussion

CKK2002

Feb 18, 2025

Hihi, may I ask how to solve this error?

rahulshetty

Owner Feb 18, 2025

The saved model is in GGUF quantized format, you will need to use llama.cpp based Python bindings (example) to load and run the model.

rahulshetty changed discussion status to closed Feb 18, 2025

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