Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language: en
|
3 |
+
tags:
|
4 |
+
- llama
|
5 |
+
- quantization
|
6 |
+
- text-generation
|
7 |
+
- cpu
|
8 |
+
- gpu
|
9 |
+
- efficient-inference
|
10 |
+
license: apache-2.0
|
11 |
+
base_model:
|
12 |
+
- meta-llama/Llama-3.1-8B
|
13 |
+
---
|
14 |
+
|
15 |
+
# Llama 3.1 8B Q4_K_M GGUF Model
|
16 |
+
|
17 |
+
## Overview
|
18 |
+
This is the quantized version of the Llama 3.1 8B model in Q4_K_M format, optimized for efficient inference on both CPU and GPU. The model was quantized using the llama.cpp library, allowing users to run it in resource-constrained environments . This quantization reduces the model's memory footprint while maintaining strong language generation capabilities.
|
19 |
+
|
20 |
+
The model was originally trained by Meta AI and has been adapted to the GGUF format for compatibility with llama.cpp.
|
21 |
+
|
22 |
+
## Model Details
|
23 |
+
- **Base Model**: meta-llama/Llama-3.1-8B
|
24 |
+
- **Quantization Type**: Q4_K_M (4-bit quantization with memory optimization)
|
25 |
+
- **Model Size**: 8B parameters
|
26 |
+
- **Format**: GGUF (used for efficient loading in llama.cpp)
|
27 |
+
- **Intended Use**: Text generation, inference on CPUs/GPUs with reduced memory constraints
|
28 |
+
|
29 |
+
## Intended Use
|
30 |
+
The model is intended for text generation tasks and is optimized for efficient inference on both CPUs and GPUs, making it suitable for use in resource-constrained environments.
|
31 |
+
|
32 |
+
## License
|
33 |
+
This model is licensed under the Apache 2.0 License.
|
34 |
+
|
35 |
+
---
|