Instructions to use AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF", filename="meta-llama-3-8b-q4_k_m.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 AIRider/Meta-Llama-3-8B-Q4_K_M-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 AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf AIRider/Meta-Llama-3-8B-Q4_K_M-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 AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf AIRider/Meta-Llama-3-8B-Q4_K_M-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 AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf AIRider/Meta-Llama-3-8B-Q4_K_M-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 AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF:Q4_K_M
Use Docker
docker model run hf.co/AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF:Q4_K_M
- Ollama
How to use AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF with Ollama:
ollama run hf.co/AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF:Q4_K_M
- Unsloth Studio
How to use AIRider/Meta-Llama-3-8B-Q4_K_M-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 AIRider/Meta-Llama-3-8B-Q4_K_M-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 AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF with Docker Model Runner:
docker model run hf.co/AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF:Q4_K_M
- Lemonade
How to use AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Meta-Llama-3-8B-Q4_K_M-GGUF-Q4_K_M
List all available models
lemonade list
| language: | |
| - en | |
| license: llama3 | |
| tags: | |
| - meta | |
| - pytorch | |
| - llama | |
| - llama-3 | |
| - llama-cpp | |
| - gguf-my-repo | |
| pipeline_tag: text-generation | |
| extra_gated_prompt: "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version\ | |
| \ Release Date: April 18, 2024\n\"Agreement\" means the terms and conditions for\ | |
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| \ code, training-enabling code, fine-tuning enabling code and other elements of\ | |
| \ the foregoing distributed by Meta at https://llama.meta.com/llama-downloads.\n\ | |
| \"Llama Materials\" means, collectively, Meta’s proprietary Meta Llama 3 and Documentation\ | |
| \ (and any portion thereof) made available under this Agreement.\n\"Meta\" or \"\ | |
| we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\ | |
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| \ within a “Notice” text file distributed as a part of such copies: “Meta Llama\ | |
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| \ Inc. All Rights Reserved.”\niv. Your use of the Llama Materials must comply with\ | |
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| \ and adhere to the Acceptable Use Policy for the Llama Materials (available at\ | |
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| \ results of the Llama Materials to improve any other large language model (excluding\ | |
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| \ of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT\ | |
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| \ and Jurisdiction. This Agreement will be governed and construed under the laws\ | |
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| \ UN Convention on Contracts for the International Sale of Goods does not apply\ | |
| \ to this Agreement. The courts of California shall have exclusive jurisdiction\ | |
| \ of any dispute arising out of this Agreement.\n### Meta Llama 3 Acceptable Use\ | |
| \ Policy\nMeta is committed to promoting safe and fair use of its tools and features,\ | |
| \ including Meta Llama 3. If you access or use Meta Llama 3, you agree to this Acceptable\ | |
| \ Use Policy (“Policy”). The most recent copy of this policy can be found at [https://llama.meta.com/llama3/use-policy](https://llama.meta.com/llama3/use-policy)\n\ | |
| #### Prohibited Uses\nWe want everyone to use Meta Llama 3 safely and responsibly.\ | |
| \ You agree you will not use, or allow others to use, Meta Llama 3 to: 1. Violate\ | |
| \ the law or others’ rights, including to:\n 1. Engage in, promote, generate,\ | |
| \ contribute to, encourage, plan, incite, or further illegal or unlawful activity\ | |
| \ or content, such as:\n 1. Violence or terrorism\n 2. Exploitation\ | |
| \ or harm to children, including the solicitation, creation, acquisition, or dissemination\ | |
| \ of child exploitative content or failure to report Child Sexual Abuse Material\n\ | |
| \ 3. Human trafficking, exploitation, and sexual violence\n 4. The\ | |
| \ illegal distribution of information or materials to minors, including obscene\ | |
| \ materials, or failure to employ legally required age-gating in connection with\ | |
| \ such information or materials.\n 5. Sexual solicitation\n 6. Any\ | |
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| \ 3. Engage in, promote, incite, or facilitate discrimination or other unlawful\ | |
| \ or harmful conduct in the provision of employment, employment benefits, credit,\ | |
| \ housing, other economic benefits, or other essential goods and services\n 4.\ | |
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| \ harm to an individual\n3. Intentionally deceive or mislead others, including use\ | |
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| \ images, or other content\n 3. Generating, promoting, or further distributing\ | |
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| \ the model: [https://github.com/meta-llama/llama3](https://github.com/meta-llama/llama3)\n\ | |
| \ * Reporting risky content generated by the model:\n developers.facebook.com/llama_output_feedback\n\ | |
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| # AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF | |
| This model was converted to GGUF format from [`meta-llama/Meta-Llama-3-8B`](https://huggingface.co/meta-llama/Meta-Llama-3-8B) using llama.cpp | |
| ## Use with llama.cpp | |
| Install llama.cpp through brew. | |
| ```bash | |
| brew install ggerganov/ggerganov/llama.cpp | |
| ``` | |
| Invoke the llama.cpp server or the CLI. | |
| CLI: | |
| ```bash | |
| llama-cli --hf-repo AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF --model meta-llama-3-8b-q4_k_m.gguf -p "The meaning to life and the universe is" | |
| ``` | |
| Server: | |
| ```bash | |
| llama-server --hf-repo AIRider/Meta-Llama-3-8B-Q4_K_M-GGUF --model meta-llama-3-8b-q4_k_m.gguf -c 2048 | |
| ``` | |
| Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. | |
| ``` | |
| git clone https://github.com/ggerganov/llama.cpp && \ | |
| cd llama.cpp && \ | |
| make && \ | |
| ./main -m meta-llama-3-8b-q4_k_m.gguf -n 128 | |
| ``` | |