Update readme

README.md

@@ -1,3 +1,87 @@
----
-license: llama3.2
----
+---
+license: llama3.2
+---
+# 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.