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

Libraries

How to use llmware/slim-sa-ner-phi-3-gguf with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("llmware/slim-sa-ner-phi-3-gguf", dtype="auto")

llama-cpp-python

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

# !pip install llama-cpp-python

from llama_cpp import Llama

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

Install from brew

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

Install from WinGet (Windows)

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

Use Docker

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

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

Unsloth Studio new

How to use llmware/slim-sa-ner-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/slim-sa-ner-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/slim-sa-ner-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/slim-sa-ner-phi-3-gguf to start chatting

Docker Model Runner
How to use llmware/slim-sa-ner-phi-3-gguf with Docker Model Runner:
```
docker model run hf.co/llmware/slim-sa-ner-phi-3-gguf
```

Lemonade

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

Pull the model

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

Run and chat with the model

lemonade run user.slim-sa-ner-phi-3-gguf-{{QUANT_TAG}}

List all available models

lemonade list

doberst commited on Aug 22, 2024

Commit

75e7874

verified ·

1 Parent(s): fd7da1a

Update config.json

Browse files

Files changed (1) hide show

config.json +8 -8

config.json CHANGED Viewed

@@ -1,19 +1,19 @@
 {
- "model_name": "slim-sa-ner-tool",
- "model_ft_base": "slim-sa-ner",
  "quantization": "4Q_K_M GGUF",
- "model_base": "stabilityai/stablelm-3b-4e1t",
- "model_type": "stablelm",
- "tokenizer": "llmware/slim-sa-ner",
- "parameters": "2.7 billion",
- "description": "slim-sa-ner is a function-calling model, fine-tuned to output structured dictionaries corresponding to sentiment and NER keys",
  "prompt_wrapper": "human_bot",
  "prompt_format": "<human> {context_passage} <classify> sentiment, people, organization, place </classify>\n<bot>:",
  "output_format": "{dictionary consisting of sentiment, people, organization, and place keys}",
  "primary_keys": ["sentiment, people, organization, place"],
  "output_values": ["each key will have a value consisting of a list"],
  "publisher": "llmware",
- "release_date": "march 2024",
  "test_set": [
   {
    "context": "Citibank announced a reduction in its targets for economic growth in France and the UK last week in light of ongoing concerns about inflation and unemployment, especially in large employers such as Airbus.",

 {
+ "model_name": "slim-sa-ner-phi-3-gguf",
+ "model_ft_base": "slim-sa-ner-phi-3",
  "quantization": "4Q_K_M GGUF",
+ "model_base": "microsoft/phi-3",
+ "model_type": "phi3",
+ "tokenizer": "llmware/slim-sa-ner-phi-3",
+ "parameters": "3.8 billion",
+ "description": "slim-sa-ner-phi-3-gguf is a function-calling model, fine-tuned to output structured dictionaries corresponding to sentiment and NER keys",
  "prompt_wrapper": "human_bot",
  "prompt_format": "<human> {context_passage} <classify> sentiment, people, organization, place </classify>\n<bot>:",
  "output_format": "{dictionary consisting of sentiment, people, organization, and place keys}",
  "primary_keys": ["sentiment, people, organization, place"],
  "output_values": ["each key will have a value consisting of a list"],
  "publisher": "llmware",
+ "release_date": "august 2024",
  "test_set": [
   {
    "context": "Citibank announced a reduction in its targets for economic growth in France and the UK last week in light of ongoing concerns about inflation and unemployment, especially in large employers such as Airbus.",