Instructions to use TheDrummer/Behemoth-123B-v2.2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use TheDrummer/Behemoth-123B-v2.2-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="TheDrummer/Behemoth-123B-v2.2-GGUF", filename="Behemoth-123B-v2f-BF16-00001-of-00006.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 TheDrummer/Behemoth-123B-v2.2-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 TheDrummer/Behemoth-123B-v2.2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf TheDrummer/Behemoth-123B-v2.2-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 TheDrummer/Behemoth-123B-v2.2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf TheDrummer/Behemoth-123B-v2.2-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 TheDrummer/Behemoth-123B-v2.2-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf TheDrummer/Behemoth-123B-v2.2-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 TheDrummer/Behemoth-123B-v2.2-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf TheDrummer/Behemoth-123B-v2.2-GGUF:Q4_K_M
Use Docker
docker model run hf.co/TheDrummer/Behemoth-123B-v2.2-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use TheDrummer/Behemoth-123B-v2.2-GGUF with Ollama:
ollama run hf.co/TheDrummer/Behemoth-123B-v2.2-GGUF:Q4_K_M
- Unsloth Studio
How to use TheDrummer/Behemoth-123B-v2.2-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 TheDrummer/Behemoth-123B-v2.2-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 TheDrummer/Behemoth-123B-v2.2-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for TheDrummer/Behemoth-123B-v2.2-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use TheDrummer/Behemoth-123B-v2.2-GGUF with Docker Model Runner:
docker model run hf.co/TheDrummer/Behemoth-123B-v2.2-GGUF:Q4_K_M
- Lemonade
How to use TheDrummer/Behemoth-123B-v2.2-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TheDrummer/Behemoth-123B-v2.2-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Behemoth-123B-v2.2-GGUF-Q4_K_M
List all available models
lemonade list
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf TheDrummer/Behemoth-123B-v2.2-GGUF:# Run inference directly in the terminal:
llama cli -hf TheDrummer/Behemoth-123B-v2.2-GGUF: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 TheDrummer/Behemoth-123B-v2.2-GGUF:# Run inference directly in the terminal:
./llama-cli -hf TheDrummer/Behemoth-123B-v2.2-GGUF: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 TheDrummer/Behemoth-123B-v2.2-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf TheDrummer/Behemoth-123B-v2.2-GGUF:Use Docker
docker model run hf.co/TheDrummer/Behemoth-123B-v2.2-GGUF:Join our Discord! https://discord.gg/Nbv9pQ88Xb
Nearly 2500 members strong πͺ
Now with more channels! A hub for creatives and makers alike!
BeaverAI proudly presents...
The finetune that made people buy another 3090...
Behemoth 123B v2.2 𦣠- Chaos Edition
Nothing in the void is foreign to us. The place we go is the place we belong.
Links
- Original: https://huggingface.co/TheDrummer/Behemoth-123B-v2.2
- GGUF: https://huggingface.co/TheDrummer/Behemoth-123B-v2.2-GGUF
- iMatrix: https://huggingface.co/bartowski/Behemoth-123B-v2.2-GGUF (recommended for smaller quants)
Description
Behemoth v2.x is a finetune of the new Largestral 2411 with system prompt support. Testers have noted that everything felt improved.
Usage
Testers say this frankenformat maximizes the model's potential: Metharme with Mistral's new system tokens
[SYSTEM_PROMPT] <|system|>{{system_message}}[/SYSTEM_PROMPT]<|user|>{{user_message}}<|model|>{{assistant_message}}<|system|>[SYSTEM_PROMPT] {{system_message}}[/SYSTEM_PROMPT]<|user|>{{user_message}}<|model|>{{assistant_message}}
Take note that the opening system tag SHOULD ALWAYS have a leading whitespace after it.
Complete SillyTavern Settings in BeaverAI Club: https://discord.com/channels/1238219753324281886/1309968730301792370/1309968730301792370
Mirror: https://rentry.org/cd32disa
Versions
- v2.0 is equivalent to Behemoth v1.0 (Classic)
- Claude-like creativity and prose
- Very familiar style
- Solid for all tasks
- v2.1 is equivalent to Behemoth v1.1 (Creative Boost)
- Creative and lively
- Unique prose
- Balanced enough for RP and other tasks
- v2.2 is a cranked up version of Behemoth v2.1 (Unhinged)
- Creatively unhinged
- Constantly unique prose
- May be too chaotic for strict RP, thrives in adventure / story
Special Thanks
Thank you to each and everyone who donated/subscribed in Ko-Fi π I hope to never disappoint!
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Finetuned by yours truly,
Drummer
Thank you Gargy for the GPUs!
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf TheDrummer/Behemoth-123B-v2.2-GGUF:# Run inference directly in the terminal: llama cli -hf TheDrummer/Behemoth-123B-v2.2-GGUF: