Jamba GGUF
Collection
Current GGUF's conversion of the Jamba models. Will be updated as support in llama.cpp merges/ https://github.com/ggerganov/llama.cpp/pull/7531 • 4 items • Updated • 2
How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Severian/Jamba-Bagel-GGUF:Q6_K# Run inference directly in the terminal:
llama cli -hf Severian/Jamba-Bagel-GGUF:Q6_KUse 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 Severian/Jamba-Bagel-GGUF:Q6_K# Run inference directly in the terminal:
./llama-cli -hf Severian/Jamba-Bagel-GGUF:Q6_KBuild 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 Severian/Jamba-Bagel-GGUF:Q6_K# Run inference directly in the terminal:
./build/bin/llama-cli -hf Severian/Jamba-Bagel-GGUF:Q6_KUse Docker
docker model run hf.co/Severian/Jamba-Bagel-GGUF:Q6_KQuick Links
Q6_K Version of the Jamba-Bagel fine-tune: https://huggingface.co/jondurbin/bagel-jamba-v05
(Q4_K_M and Q8 are in the works, just takes a bit to upload)
Can only be used with this fork until the merge is complete: https://github.com/ggerganov/llama.cpp/pull/7531
- Downloads last month
- 37
Hardware compatibility
Log In to add your hardware
6-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf Severian/Jamba-Bagel-GGUF:Q6_K# Run inference directly in the terminal: llama cli -hf Severian/Jamba-Bagel-GGUF:Q6_K