Instructions to use MaziyarPanahi/ReasonFlux-F1-14B-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/ReasonFlux-F1-14B-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/ReasonFlux-F1-14B-GGUF:Q5_K_M # Run inference directly in the terminal: llama cli -hf MaziyarPanahi/ReasonFlux-F1-14B-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/ReasonFlux-F1-14B-GGUF:Q5_K_M # Run inference directly in the terminal: llama cli -hf MaziyarPanahi/ReasonFlux-F1-14B-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/ReasonFlux-F1-14B-GGUF:Q5_K_M # Run inference directly in the terminal: ./llama-cli -hf MaziyarPanahi/ReasonFlux-F1-14B-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/ReasonFlux-F1-14B-GGUF:Q5_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf MaziyarPanahi/ReasonFlux-F1-14B-GGUF:Q5_K_M
Use Docker
docker model run hf.co/MaziyarPanahi/ReasonFlux-F1-14B-GGUF:Q5_K_M
- LM Studio
- Jan
- vLLM
How to use MaziyarPanahi/ReasonFlux-F1-14B-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MaziyarPanahi/ReasonFlux-F1-14B-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/ReasonFlux-F1-14B-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/MaziyarPanahi/ReasonFlux-F1-14B-GGUF:Q5_K_M
- Ollama
How to use MaziyarPanahi/ReasonFlux-F1-14B-GGUF with Ollama:
ollama run hf.co/MaziyarPanahi/ReasonFlux-F1-14B-GGUF:Q5_K_M
- Unsloth Desktop
- Docker Model Runner
How to use MaziyarPanahi/ReasonFlux-F1-14B-GGUF with Docker Model Runner:
docker model run hf.co/MaziyarPanahi/ReasonFlux-F1-14B-GGUF:Q5_K_M
- Lemonade
How to use MaziyarPanahi/ReasonFlux-F1-14B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MaziyarPanahi/ReasonFlux-F1-14B-GGUF:Q5_K_M
Run and chat with the model
lemonade run user.ReasonFlux-F1-14B-GGUF-Q5_K_M
List all available models
lemonade list
- Atomic Chat
Upload folder using huggingface_hub (#1)
Browse files- dfb3b89d2e7ef7209f58e60c1abfad61388febfd6f060948c378be24a6e90e90 (ece972200ed29bb2b2b8c5860c1d159861fc3fb3)
- 88bfd6c9a7b7ea7f3b32e86148f134b8e4c8b1921289407702e03f041b7b2139 (6485c812671847bca6e1a38397887f71b2426e4c)
- 75216ce5bd5205952e1112f6dae70821d5c0d097c40fc9989a55e0f96a2a18aa (bbf561543ffe8aebc0c5549b2529039fd504bfd0)
- 7d7c70802404c95d27fffed5c771075436563b679f38bb97a5d21be548c94395 (f964f5887a462a7661e6527d02240cd1fd4bbf27)
- 8d482a5774fdbb81a0270649690a81b204c72474679793f306b9f4ba6f3dd10a (2fd1cebe61cb7a240c737b3973aadef617381011)
- f8597d89b117bf2b9fac157a296013a8e9f790a52de7dc99807d1d53f6abe7e7 (b8bd1e795657374072e861101770a8c6e89930a3)
- .gitattributes +5 -0
- README.md +45 -0
- ReasonFlux-F1-14B.Q5_K_M.gguf +3 -0
- ReasonFlux-F1-14B.Q5_K_S.gguf +3 -0
- ReasonFlux-F1-14B.Q6_K.gguf +3 -0
- ReasonFlux-F1-14B.Q8_0.gguf +3 -0
- ReasonFlux-F1-14B.fp16.gguf +3 -0
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@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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ReasonFlux-F1-14B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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ReasonFlux-F1-14B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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ReasonFlux-F1-14B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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---
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base_model: Gen-Verse/ReasonFlux-F1-14B
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inference: false
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model_creator: Gen-Verse
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model_name: ReasonFlux-F1-14B-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/ReasonFlux-F1-14B-GGUF](https://huggingface.co/MaziyarPanahi/ReasonFlux-F1-14B-GGUF)
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- Model creator: [Gen-Verse](https://huggingface.co/Gen-Verse)
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- Original model: [Gen-Verse/ReasonFlux-F1-14B](https://huggingface.co/Gen-Verse/ReasonFlux-F1-14B)
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## Description
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[MaziyarPanahi/ReasonFlux-F1-14B-GGUF](https://huggingface.co/MaziyarPanahi/ReasonFlux-F1-14B-GGUF) contains GGUF format model files for [Gen-Verse/ReasonFlux-F1-14B](https://huggingface.co/Gen-Verse/ReasonFlux-F1-14B).
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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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