Text Generation
GGUF
English
qwen3_5_text
27b
stem
tutor
math
physics
chemistry
biology
computer-science
claude-distillation
conversational
local
offline
lm-studio
llama-cpp
Instructions to use Verdugie/STEM-Oracle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Verdugie/STEM-Oracle 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 Verdugie/STEM-Oracle:Q4_K_M # Run inference directly in the terminal: llama cli -hf Verdugie/STEM-Oracle:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Verdugie/STEM-Oracle:Q4_K_M # Run inference directly in the terminal: llama cli -hf Verdugie/STEM-Oracle: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 Verdugie/STEM-Oracle:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Verdugie/STEM-Oracle: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 Verdugie/STEM-Oracle:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Verdugie/STEM-Oracle:Q4_K_M
Use Docker
docker model run hf.co/Verdugie/STEM-Oracle:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use Verdugie/STEM-Oracle with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Verdugie/STEM-Oracle" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Verdugie/STEM-Oracle", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Verdugie/STEM-Oracle:Q4_K_M
- Ollama
How to use Verdugie/STEM-Oracle with Ollama:
ollama run hf.co/Verdugie/STEM-Oracle:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Verdugie/STEM-Oracle with Docker Model Runner:
docker model run hf.co/Verdugie/STEM-Oracle:Q4_K_M
- Lemonade
How to use Verdugie/STEM-Oracle with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Verdugie/STEM-Oracle:Q4_K_M
Run and chat with the model
lemonade run user.STEM-Oracle-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Restore deleted files (GGUFs, training data, .gitattributes)
Browse filesFiles were accidentally removed during a card update that used
git add . without LFS objects present. Restoring from git history.
- .gitattributes +38 -0
- STEM-Oracle-27B-Q4_K_M.gguf +3 -0
- STEM-Oracle-27B-Q6_K.gguf +3 -0
- STEM-Oracle-27B-Q8_0.gguf +3 -0
- eval/training_metadata.json +14 -0
- training-data/opus-candid-v35-27b.json +0 -0
.gitattributes
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STEM-Oracle-27B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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STEM-Oracle-27B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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STEM-Oracle-27B-Q4_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:d68575c439413e711bc3d879caf790560e48ec52fe9cf421cc4b8b31c03dabfb
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size 16545665088
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STEM-Oracle-27B-Q6_K.gguf
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oid sha256:80514e56d22500f6460bb8f8e631bb897a8d235645a79822589163152f8d5ad5
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size 22080473952
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STEM-Oracle-27B-Q8_0.gguf
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size 28593105184
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eval/training_metadata.json
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{
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"model": "Qwen/Qwen3.5-27B",
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"mode": "bf16 LoRA",
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"lora_r": 128,
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"lora_alpha": 256,
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"epochs": 3,
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"learning_rate": 5e-05,
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"final_loss": 0.49208340033459563,
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"train_time": "15:31:27",
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"dataset_size": 5179,
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"gpu": "NVIDIA A100-SXM4-80GB",
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"vram_gb": 79.249755859375,
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"timestamp": "2026-03-10T22:29:22.371059"
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}
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training-data/opus-candid-v35-27b.json
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