Transformers
GGUF
English
text-generation-inference
unsloth
gemma2
trl
sft
llama-cpp
gguf-my-repo
conversational
How to use from
Unsloth StudioInstall 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 Stark2008/Gemma2-9b-it-train6-Q6_K-GGUF to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Stark2008/Gemma2-9b-it-train6-Q6_K-GGUF to start chattingQuick Links
Stark2008/Gemma2-9b-it-train6-Q6_K-GGUF
This model was converted to GGUF format from ehristoforu/Gemma2-9b-it-train6 using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo Stark2008/Gemma2-9b-it-train6-Q6_K-GGUF --hf-file gemma2-9b-it-train6-q6_k.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Stark2008/Gemma2-9b-it-train6-Q6_K-GGUF --hf-file gemma2-9b-it-train6-q6_k.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo Stark2008/Gemma2-9b-it-train6-Q6_K-GGUF --hf-file gemma2-9b-it-train6-q6_k.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Stark2008/Gemma2-9b-it-train6-Q6_K-GGUF --hf-file gemma2-9b-it-train6-q6_k.gguf -c 2048
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Model tree for Stark2008/Gemma2-9b-it-train6-Q6_K-GGUF
Base model
ehristoforu/Gemma2-9b-it-train1 Finetuned
ehristoforu/Gemma2-9b-it-train2 Finetuned
ehristoforu/Gemma2-9b-it-train3 Finetuned
ehristoforu/Gemma2-9b-it-train4 Finetuned
ehristoforu/Gemma2-9b-it-train5 Finetuned
ehristoforu/Gemma2-9b-it-train6
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Stark2008/Gemma2-9b-it-train6-Q6_K-GGUF to start chatting