Instructions to use llmware/phi-3-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use llmware/phi-3-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="llmware/phi-3-gguf",
	filename="phi3.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 llmware/phi-3-gguf with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf llmware/phi-3-gguf
# Run inference directly in the terminal:
llama cli -hf llmware/phi-3-gguf

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf llmware/phi-3-gguf
# Run inference directly in the terminal:
llama cli -hf llmware/phi-3-gguf

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 llmware/phi-3-gguf
# Run inference directly in the terminal:
./llama-cli -hf llmware/phi-3-gguf

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 llmware/phi-3-gguf
# Run inference directly in the terminal:
./build/bin/llama-cli -hf llmware/phi-3-gguf

Use Docker

docker model run hf.co/llmware/phi-3-gguf

LM Studio
Jan
Ollama
How to use llmware/phi-3-gguf with Ollama:
```
ollama run hf.co/llmware/phi-3-gguf
```

Unsloth Studio

How to use llmware/phi-3-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 llmware/phi-3-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 llmware/phi-3-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for llmware/phi-3-gguf to start chatting

Atomic Chat new
Docker Model Runner
How to use llmware/phi-3-gguf with Docker Model Runner:
```
docker model run hf.co/llmware/phi-3-gguf
```

Lemonade

How to use llmware/phi-3-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull llmware/phi-3-gguf

Run and chat with the model

lemonade run user.phi-3-gguf-{{QUANT_TAG}}

List all available models

lemonade list

doberst commited on Feb 14, 2025

Commit

ebfa9ff

verified ·

1 Parent(s): 406d9b0

Update config.json

Browse files

Files changed (1) hide show

config.json +1 -1

config.json CHANGED Viewed

@@ -36,7 +36,7 @@
   "prompt_format": "<|user|>\n{context_passage}\n{question}\n<|end|>\n<|assistant|>",
   "prompt_format_dict": {"system_start": "<|system|>\n", "system_stop": "<|end|>\n", "main_start": "<|user|>\n", "main_stop": "<|end|>\n", "start_llm_response": "<|assistant|>"},
   "tokenizer_local": "tokenizer_phi3.json",
-  "tokenizer_config": {"bos_id": [1], "bos_token": ["<s>"], "eos_id": [32000,32001,32007], "eos_token": ["<|endoftext|>","<|assistant|>","<|end|>"]},
   "model_parent": "microsoft/Phi-3-mini-4k-instruct",
   "description": "Microsoft Phi-3-mini - 3.8 parameter base",
   "quantization": "int4",

   "prompt_format": "<|user|>\n{context_passage}\n{question}\n<|end|>\n<|assistant|>",
   "prompt_format_dict": {"system_start": "<|system|>\n", "system_stop": "<|end|>\n", "main_start": "<|user|>\n", "main_stop": "<|end|>\n", "start_llm_response": "<|assistant|>"},
   "tokenizer_local": "tokenizer_phi3.json",
+  "tokenizer_config_mhq": {"bos_id": [1], "bos_token": ["<s>"], "eos_id": [32000,32001,32007], "eos_token": ["<|endoftext|>","<|assistant|>","<|end|>"]},
   "model_parent": "microsoft/Phi-3-mini-4k-instruct",
   "description": "Microsoft Phi-3-mini - 3.8 parameter base",
   "quantization": "int4",