Supernova
Collection
Stable and tested series of models • 3 items • Updated
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 theNovaAI/Supernova-experimental-GGUF:# Run inference directly in the terminal:
llama cli -hf theNovaAI/Supernova-experimental-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 theNovaAI/Supernova-experimental-GGUF:# Run inference directly in the terminal:
./llama-cli -hf theNovaAI/Supernova-experimental-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 theNovaAI/Supernova-experimental-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf theNovaAI/Supernova-experimental-GGUF:Use Docker
docker model run hf.co/theNovaAI/Supernova-experimental-GGUF:Quick Links
Supernova-experimental
Quantized to GGUF using llama.cpp
This is an experimental model that was created for the development of NovaAI.
Good at chatting and some RP.
Prompt Template: Alpaca
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
Models Merged
The following models were included in the merge:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 59.79 |
| AI2 Reasoning Challenge (25-Shot) | 63.05 |
| HellaSwag (10-Shot) | 83.66 |
| MMLU (5-Shot) | 56.59 |
| TruthfulQA (0-shot) | 49.37 |
| Winogrande (5-shot) | 77.35 |
| GSM8k (5-shot) | 28.73 |
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Model tree for theNovaAI/Supernova-experimental-GGUF
Collection including theNovaAI/Supernova-experimental-GGUF
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard63.050
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard83.660
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard56.590
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard49.370
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard77.350
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard28.730
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf theNovaAI/Supernova-experimental-GGUF:# Run inference directly in the terminal: llama cli -hf theNovaAI/Supernova-experimental-GGUF: