Transformers
Safetensors
GGUF
English
mistral
text-generation-inference
unsloth
trl
sft
phi-3
conversational
Instructions to use seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches", dtype="auto") - llama-cpp-python
How to use seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches", filename="phi3-4k-sentiment-may-24-2024-2epoches-unsloth.F16.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 seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches:Q4_K_M # Run inference directly in the terminal: llama-cli -hf seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches:Q4_K_M # Run inference directly in the terminal: llama-cli -hf seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches: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 seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches: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 seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches:Q4_K_M
Use Docker
docker model run hf.co/seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches with Ollama:
ollama run hf.co/seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches:Q4_K_M
- Unsloth Studio
How to use seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches 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 seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches 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 seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches to start chatting
- Docker Model Runner
How to use seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches with Docker Model Runner:
docker model run hf.co/seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches:Q4_K_M
- Lemonade
How to use seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches:Q4_K_M
Run and chat with the model
lemonade run user.phi3-4k-sentiment-may-24-2024-2epoches-Q4_K_M
List all available models
lemonade list
Uploaded model
- Developed by: seandearnaley
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct
This phi-3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Developed to support Elevating Sentiment Analysis @Medium.
example Ollama Modelfile:
FROM ./phi3-4k-sentiment-may-24-2024-2epoches-unsloth.Q4_K_M.gguf
SYSTEM """
You are an advanced AI assistant created to perform sentiment analysis on text. Your task is to carefully read the text and analyze the sentiment it expresses towards the potential future stock value of any company mentioned. Analyze the sentiment of this text and respond with the appropriate JSON:
"""
TEMPLATE """{{ if .System }}<|system|>
{{ .System }}<|end|>
{{ end }}{{ if .Prompt }}<|user|>
{{ .Prompt }}<|end|>
{{ end }}<|assistant|>
{{ .Response }}<|end|>"""
# PARAMETER stop <|end_of_text|> # Default for Llama3
# PARAMETER stop </s> # Default for Mistral
# A parameter that sets the temperature of the model, controlling how creative or conservative the model's responses will be
PARAMETER temperature 0.2
# Sets how far back for the model to look back to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)
PARAMETER repeat_last_n 256
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unsloth/Phi-3-mini-4k-instruct