Instructions to use timothyckl/phi-2-instruct-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use timothyckl/phi-2-instruct-v1 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="timothyckl/phi-2-instruct-v1", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("timothyckl/phi-2-instruct-v1", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("timothyckl/phi-2-instruct-v1", trust_remote_code=True)

llama-cpp-python

How to use timothyckl/phi-2-instruct-v1 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="timothyckl/phi-2-instruct-v1",
	filename="ggml-model-q4km.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use timothyckl/phi-2-instruct-v1 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf timothyckl/phi-2-instruct-v1
# Run inference directly in the terminal:
llama-cli -hf timothyckl/phi-2-instruct-v1

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf timothyckl/phi-2-instruct-v1
# Run inference directly in the terminal:
llama-cli -hf timothyckl/phi-2-instruct-v1

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 timothyckl/phi-2-instruct-v1
# Run inference directly in the terminal:
./llama-cli -hf timothyckl/phi-2-instruct-v1

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 timothyckl/phi-2-instruct-v1
# Run inference directly in the terminal:
./build/bin/llama-cli -hf timothyckl/phi-2-instruct-v1

Use Docker

docker model run hf.co/timothyckl/phi-2-instruct-v1

LM Studio
Jan

vLLM

How to use timothyckl/phi-2-instruct-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "timothyckl/phi-2-instruct-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "timothyckl/phi-2-instruct-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/timothyckl/phi-2-instruct-v1

SGLang

How to use timothyckl/phi-2-instruct-v1 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "timothyckl/phi-2-instruct-v1" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "timothyckl/phi-2-instruct-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "timothyckl/phi-2-instruct-v1" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "timothyckl/phi-2-instruct-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use timothyckl/phi-2-instruct-v1 with Ollama:
```
ollama run hf.co/timothyckl/phi-2-instruct-v1
```

Unsloth Studio

How to use timothyckl/phi-2-instruct-v1 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 timothyckl/phi-2-instruct-v1 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 timothyckl/phi-2-instruct-v1 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for timothyckl/phi-2-instruct-v1 to start chatting

Docker Model Runner
How to use timothyckl/phi-2-instruct-v1 with Docker Model Runner:
```
docker model run hf.co/timothyckl/phi-2-instruct-v1
```

Lemonade

How to use timothyckl/phi-2-instruct-v1 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull timothyckl/phi-2-instruct-v1

Run and chat with the model

lemonade run user.phi-2-instruct-v1-{{QUANT_TAG}}

List all available models

lemonade list

timothyckl commited on Apr 11, 2024

Commit

ae2dfe2

verified ·

1 Parent(s): acf2ce2

Add lora adapter model

Browse files

Files changed (3) hide show

phi-2-instruct-adapter/adapter_config.json +33 -0
phi-2-instruct-adapter/adapter_model.safetensors +3 -0
phi-2-instruct-adapter/training_args.bin +3 -0

phi-2-instruct-adapter/adapter_config.json ADDED Viewed

	@@ -0,0 +1,33 @@

+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/phi-2",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "fc1",
+    "k_proj",
+    "dense",
+    "v_proj",
+    "fc2"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

phi-2-instruct-adapter/adapter_model.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:fbf21c484c74f585b3f2fb9db4ec52cb783899ca932cad53abe5fbdd150b3785
+size 94422368

phi-2-instruct-adapter/training_args.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:40c2f96c5aad966d655b79e2d5ed107ea46fddd3abd838e8c7bf2dd0b6af6bd2
+size 4920