Text Generation
GGUF
mistral
quantized
2-bit
3-bit
4-bit precision
5-bit
6-bit
8-bit precision
GGUF
conversational
Instructions to use MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-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 MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-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 MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M # Run inference directly in the terminal: llama cli -hf MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M # Run inference directly in the terminal: llama cli -hf MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_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 MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M # Run inference directly in the terminal: ./llama-cli -hf MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_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 MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
Use Docker
docker model run hf.co/MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
- LM Studio
- Jan
- vLLM
How to use MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
- Ollama
How to use MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF with Ollama:
ollama run hf.co/MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
- Unsloth Desktop
- Docker Model Runner
How to use MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF with Docker Model Runner:
docker model run hf.co/MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
- Lemonade
How to use MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
Run and chat with the model
lemonade run user.nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF-Q5_K_M
List all available models
lemonade list
- Atomic Chat
a180634ab83bbbf282d3bcfac14668365c17c8f745634cc691b4c4adb5cdab90
Browse files
.gitattributes
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@@ -38,3 +38,4 @@ nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2.Q5_K_S.gguf filter=lfs diff=lfs me
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nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2.fp16.gguf filter=lfs diff=lfs merge=lfs -text
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nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2.fp16.gguf filter=lfs diff=lfs merge=lfs -text
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nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF_imatrix.dat filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: redrix/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2
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inference: false
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model_creator: redrix
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model_name: nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF
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pipeline_tag: text-generation
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quantized_by: MaziyarPanahi
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tags:
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- quantized
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- 2-bit
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- 3-bit
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- 4-bit
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- 5-bit
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- 6-bit
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- 8-bit
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- GGUF
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- text-generation
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---
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# [MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF](https://huggingface.co/MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF)
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- Model creator: [redrix](https://huggingface.co/redrix)
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- Original model: [redrix/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2](https://huggingface.co/redrix/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2)
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## Description
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[MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF](https://huggingface.co/MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF) contains GGUF format model files for [redrix/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2](https://huggingface.co/redrix/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2).
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### About GGUF
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GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
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Here is an incomplete list of clients and libraries that are known to support GGUF:
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* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
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* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
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* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
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* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
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* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
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* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
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* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
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* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
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* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
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* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.
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## Special thanks
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🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.
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nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF_imatrix.dat
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version https://git-lfs.github.com/spec/v1
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oid sha256:b200437284696b65230b21f42886a5a218e19c607060fb31c384d7c78466edf8
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size 7054394
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