Instructions to use RichardErkhov/ByteWave_-_prompt-generator-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use RichardErkhov/ByteWave_-_prompt-generator-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 RichardErkhov/ByteWave_-_prompt-generator-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/ByteWave_-_prompt-generator-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf RichardErkhov/ByteWave_-_prompt-generator-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/ByteWave_-_prompt-generator-gguf: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 RichardErkhov/ByteWave_-_prompt-generator-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf RichardErkhov/ByteWave_-_prompt-generator-gguf: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 RichardErkhov/ByteWave_-_prompt-generator-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf RichardErkhov/ByteWave_-_prompt-generator-gguf:Q4_K_M
Use Docker
docker model run hf.co/RichardErkhov/ByteWave_-_prompt-generator-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use RichardErkhov/ByteWave_-_prompt-generator-gguf with Ollama:
ollama run hf.co/RichardErkhov/ByteWave_-_prompt-generator-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use RichardErkhov/ByteWave_-_prompt-generator-gguf with Docker Model Runner:
docker model run hf.co/RichardErkhov/ByteWave_-_prompt-generator-gguf:Q4_K_M
- Lemonade
How to use RichardErkhov/ByteWave_-_prompt-generator-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RichardErkhov/ByteWave_-_prompt-generator-gguf:Q4_K_M
Run and chat with the model
lemonade run user.ByteWave_-_prompt-generator-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Quantization made by Richard Erkhov.
prompt-generator - GGUF
- Model creator: https://huggingface.co/ByteWave/
- Original model: https://huggingface.co/ByteWave/prompt-generator/
| Name | Quant method | Size |
|---|---|---|
| prompt-generator.Q2_K.gguf | Q2_K | 1.84GB |
| prompt-generator.IQ3_XS.gguf | IQ3_XS | 1.84GB |
| prompt-generator.IQ3_S.gguf | IQ3_S | 1.84GB |
| prompt-generator.Q3_K_S.gguf | Q3_K_S | 1.84GB |
| prompt-generator.IQ3_M.gguf | IQ3_M | 1.92GB |
| prompt-generator.Q3_K.gguf | Q3_K | 1.99GB |
| prompt-generator.Q3_K_M.gguf | Q3_K_M | 1.99GB |
| prompt-generator.Q3_K_L.gguf | Q3_K_L | 2.06GB |
| prompt-generator.IQ4_XS.gguf | IQ4_XS | 1.86GB |
| prompt-generator.Q4_0.gguf | Q4_0 | 1.84GB |
| prompt-generator.IQ4_NL.gguf | IQ4_NL | 1.86GB |
| prompt-generator.Q4_K_S.gguf | Q4_K_S | 2.24GB |
| prompt-generator.Q4_K.gguf | Q4_K | 2.4GB |
| prompt-generator.Q4_K_M.gguf | Q4_K_M | 2.4GB |
| prompt-generator.Q4_1.gguf | Q4_1 | 2.04GB |
| prompt-generator.Q5_0.gguf | Q5_0 | 2.23GB |
| prompt-generator.Q5_K_S.gguf | Q5_K_S | 2.42GB |
| prompt-generator.Q5_K.gguf | Q5_K | 2.57GB |
| prompt-generator.Q5_K_M.gguf | Q5_K_M | 2.57GB |
| prompt-generator.Q5_1.gguf | Q5_1 | 2.42GB |
| prompt-generator.Q6_K.gguf | Q6_K | 3.39GB |
| prompt-generator.Q8_0.gguf | Q8_0 | 3.39GB |
Original model description:
license: cc-by-nc-4.0 datasets: - fka/awesome-chatgpt-prompts - PulsarAI/awesome-chatgpt-prompts-advanced language: - en pipeline_tag: text-generation tags: - ChatGPT - Llama - Agents - LLMs
Prompt Generator by ByteWave:
Welcome to the official repository of Prompt Generator, a powerful tool for effortlessly generating prompts for Large Language Models (LLMs) by ByteWave.
About Prompt Generator:
Prompt Generator is designed to streamline the process of generating text prompts for LLMs. Whether you are a content creator, researcher, or developer, this tool empowers you to create effective prompts quickly and efficiently.
Features:
- Easy-to-use interface
- Fast prompt generation
- Customizable prompts for various LLMs
Usage:
from transformers import pipeline
generator = pipeline("text-generation",model="ByteWave/prompt-generator")
act = f"""
Action: Doctor
Prompt:
"""
prompt = generator(act, do_sample=True, max_new_tokens=256)
print(prompt)
"""
I want you to act as a doctor and come up with a treatment plan for an elderly patient who has been experiencing severe headaches. Your goal is to use your knowledge of conventional medicine, herbal remedies, and other natural alternatives in order to create a plan that helps the patient achieve optimal health. Remember to use your best judgment and discuss various options with the patient, and if necessary, suggest additional tests or treatments in order to ensure success.
"""
Training:
This model trained on openlm-research/open_llama_3b_v2 base model.
Loss Graph:
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