Update README.md
Browse files
README.md
CHANGED
|
@@ -20,4 +20,68 @@ tags:
|
|
| 20 |
license: llama3.2
|
| 21 |
base_model:
|
| 22 |
- meta-llama/Llama-3.2-1B
|
| 23 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
license: llama3.2
|
| 21 |
base_model:
|
| 22 |
- meta-llama/Llama-3.2-1B
|
| 23 |
+
---
|
| 24 |
+
Here’s a **professional `README.md`** for **Open4bits/llama3.2-1b-gguf**, styled like your Whisper Tiny example:
|
| 25 |
+
|
| 26 |
+
---
|
| 27 |
+
|
| 28 |
+
# Open4bits / llama3.2-1b-gguf
|
| 29 |
+
|
| 30 |
+
This repository provides the **LLaMA 3.2-1B model converted to GGUF format**, published by Open4bits to enable highly efficient local inference with reduced memory usage and broad CPU compatibility.
|
| 31 |
+
|
| 32 |
+
The underlying LLaMA 3.2 model and architecture are **owned by Meta AI**. This repository contains only a quantized GGUF conversion of the original model weights.
|
| 33 |
+
|
| 34 |
+
The model is designed for fast, lightweight text generation and instruction-following tasks and is well suited for resource-constrained environments.
|
| 35 |
+
|
| 36 |
+
---
|
| 37 |
+
|
| 38 |
+
## Model Overview
|
| 39 |
+
|
| 40 |
+
LLaMA (Large Language Model Meta AI) is a family of transformer-based language models developed by Meta AI.
|
| 41 |
+
This release uses the **3.2 variant with 1 billion parameters**, striking a balance between performance and efficiency.
|
| 42 |
+
|
| 43 |
+
---
|
| 44 |
+
|
| 45 |
+
## Model Details
|
| 46 |
+
|
| 47 |
+
* **Architecture:** LLaMA 3.2
|
| 48 |
+
* **Parameters:** ~1 billion
|
| 49 |
+
* **Format:** GGUF (quantized)
|
| 50 |
+
* **Task:** Text generation, instruction following
|
| 51 |
+
* **Weight tying:** Preserved
|
| 52 |
+
* **Compatibility:** GGUF-compatible inference runtimes (CPU-focused)
|
| 53 |
+
|
| 54 |
+
Compared to larger LLaMA variants, this model offers significantly faster inference with lower memory requirements, with proportionally reduced capacity for complex reasoning.
|
| 55 |
+
|
| 56 |
+
---
|
| 57 |
+
|
| 58 |
+
## Intended Use
|
| 59 |
+
|
| 60 |
+
This model is intended for:
|
| 61 |
+
|
| 62 |
+
* Local text generation and chat applications
|
| 63 |
+
* CPU-based or low-resource deployments
|
| 64 |
+
* Research, experimentation, and prototyping
|
| 65 |
+
* Offline or self-hosted AI systems
|
| 66 |
+
|
| 67 |
+
---
|
| 68 |
+
|
| 69 |
+
## Limitations
|
| 70 |
+
|
| 71 |
+
* Lower generation quality compared to larger LLaMA 3.2 models
|
| 72 |
+
* Output quality depends on prompt design and decoding settings
|
| 73 |
+
* Not fine-tuned for domain-specific or high-precision tasks
|
| 74 |
+
|
| 75 |
+
---
|
| 76 |
+
|
| 77 |
+
## License
|
| 78 |
+
|
| 79 |
+
This model is released under the **original LLaMA 3.2 license terms** as defined by Meta AI.
|
| 80 |
+
Users must comply with the licensing conditions of the base LLaMA 3.2-1B model.
|
| 81 |
+
|
| 82 |
+
---
|
| 83 |
+
|
| 84 |
+
## Support
|
| 85 |
+
|
| 86 |
+
If you find this model useful, please consider supporting the project.
|
| 87 |
+
Your support helps Open4bits continue releasing and maintaining high-quality open models for the community.
|