How to use from
Hermes Agent
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf GhostScientist/gpt-oss-20b-semanticwiki-gguf:
Configure Hermes
# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default GhostScientist/gpt-oss-20b-semanticwiki-gguf:
Run Hermes
hermes
Quick Links

gpt-oss-20b-semanticwiki GGUF

GGUF conversion of GhostScientist/gpt-oss-20b-semanticwiki, fine-tuned on SemanticWiki data.

Available Quantizations

File Quant Description
gpt-oss-20b-semanticwiki-f16.gguf F16 Full precision
gpt-oss-20b-semanticwiki-q8_0.gguf Q8_0 8-bit (recommended for 32GB+ RAM)
gpt-oss-20b-semanticwiki-q5_k_m.gguf Q5_K_M 5-bit medium
gpt-oss-20b-semanticwiki-q4_k_m.gguf Q4_K_M 4-bit medium (smallest)

Usage

With Ollama

huggingface-cli download GhostScientist/gpt-oss-20b-semanticwiki-gguf gpt-oss-20b-semanticwiki-q8_0.gguf
echo "FROM ./gpt-oss-20b-semanticwiki-q8_0.gguf" > Modelfile
ollama create gpt-oss-semanticwiki -f Modelfile
ollama run gpt-oss-semanticwiki

With llama.cpp

./llama-cli -m gpt-oss-20b-semanticwiki-q8_0.gguf -p "Your prompt"

Model Details

  • Base Model: openai/gpt-oss-20b (22B params, 3.6B active - MoE)
  • Fine-tuned Model: GhostScientist/gpt-oss-20b-semanticwiki
  • Dataset: GhostScientist/semanticwiki-data
  • Training: SFT with LoRA using TRL
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GGUF
Model size
21B params
Architecture
gpt-oss
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