Instructions to use nold/Smaug-34B-v0.1-GGUF 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 nold/Smaug-34B-v0.1-GGUF 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 nold/Smaug-34B-v0.1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf nold/Smaug-34B-v0.1-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf nold/Smaug-34B-v0.1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf nold/Smaug-34B-v0.1-GGUF: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 nold/Smaug-34B-v0.1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf nold/Smaug-34B-v0.1-GGUF: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 nold/Smaug-34B-v0.1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf nold/Smaug-34B-v0.1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/nold/Smaug-34B-v0.1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use nold/Smaug-34B-v0.1-GGUF with Ollama:
ollama run hf.co/nold/Smaug-34B-v0.1-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use nold/Smaug-34B-v0.1-GGUF with Docker Model Runner:
docker model run hf.co/nold/Smaug-34B-v0.1-GGUF:Q4_K_M
- Lemonade
How to use nold/Smaug-34B-v0.1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull nold/Smaug-34B-v0.1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Smaug-34B-v0.1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
This model is a finetune of jondurbin's excellent bagel model. It has been trained with new datasets and a new technique, which we will share to the community soon. This model has not utilised any form of merging.
Evaluation Results
| Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
|---|---|---|---|---|---|---|
| 77.29 | 74.23 | 86.76 | 76.66 | 70.22 | 83.66 | 72.18 |
Contamination Results
With reference model jondurbin/bagel-34b-v0.2:
| ARC | TruthfulQA | GSM8K |
|---|---|---|
| 0.08 | 0.38 | 0.88 |
Vanilla Quantization by nold, Original Model abacusai/Smaug-34B-v0.1. Created using llm-quantizer Pipeline - 465d7970507dcaac4cb50221157a68c840965774
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Base model
jondurbin/bagel-34b-v0.2
