Llama 3.2 GGUF (4_K_M Quantized)
This repository hosts GGUF-format quantized versions of Llama 3.2 models at multiple parameter sizes.
These files are intended for use with SciTools’ Understand and Onboard, as well as other tools and runtimes that support the GGUF format (for example, llama.cpp-based applications).
Model Details
- Base models: Llama 3.2 (various parameter sizes)
- Format: GGUF
- Intended use: Local inference, code understanding, general-purpose chat
- Languages: Multilingual (as supported by Llama 3.2)
Available Variants
This repository includes multiple Llama 3.2 parameter sizes, each quantized independently. Refer to the file names for exact parameter counts.
Quantization Process
- Quantization was performed by Unsloth and TensorBlock.
- No further modifications, rebalancing, or fine-tuning were applied.
- The quantization parameters and defaults were not altered from the original sources.
The goal is to provide faithful, reproducible GGUF variants that behave as closely as possible to their upstream counterparts.
What We Did Not Do
To be explicit:
- No additional fine-tuning
- No instruction rebalancing
- No safety, alignment, or prompt modifications
- No merging or model surgery
If a model behaves a certain way, that behavior comes from Llama 3.2 combined with quantization, not from any downstream changes here.
Intended Use
These models are suitable for:
- SciTools Understand and SciTools Onboard
- Local AI workflows
- Code comprehension and exploration
- Interactive chat and analysis
- Integration into developer tools that support GGUF
They are not intended for:
- Safety-critical or regulated decision-making
- Use cases requiring guaranteed factual accuracy
- Production deployment without independent evaluation
Limitations
- Output quality varies by parameter size and task.
- Like all large language models, Llama 3.2 may produce hallucinations or incorrect information.
Evaluate carefully for your specific workload.
License & Attribution
- Original models: Meta (Llama 3.2)
- Quantization: Unsloth and TensorBlock
- Format: GGUF (llama.cpp ecosystem)
Please refer to the original Llama 3.2 license and usage terms. This repository redistributes quantized artifacts only and does not change the underlying licensing conditions.
Acknowledgements
Thanks to Meta for releasing the Llama 3.2 models, and to Unsloth and TensorBlock for providing high-quality, reproducible quantization that enables efficient local inference across a wide range of tools.
