Introducing WEB Llama 2: Fine-tuned Models for Language Understanding
Generative Text Models for Enhanced Language Processing
WEB Llama 2 encompasses a range of pretrained and fine-tuned generative text models. These models offer varying sizes from 7B to 70B, providing flexibility for diverse language understanding applications. Here's how you can access and utilize them:
Build and Utilize the latest llama-cpp-python library
Use the following commands to build and upgrade the latest llama-cpp-python library:
Build your latest llama-cpp-python library with --force-reinstall --upgrade and use some.
Download the Desired WEB Llama 2 Model
Various WEB Llama 2 models are available, including 7B, 13B, 70B, GPTQ, GGML, and GGUF. Download the suitable model from the provided link:
Download the llama-2-7b-chatggmlv3q2_Kbin modelRun the Code for Model Implementation
Execute the following code to implement the downloaded model:
Run the following code.
Support for CodeLlama with 8-bit and 4-bit Mode
WEB Llama 2 models support CodeLlama with both 8-bit and 4-bit modes.
Additional Note:
It's crucial to note that llama-2-7bggmlv3q2_Kbin is not a local folder. It represents a model identifier that is not included in the listed valid models.
Due to local PC constraints, the llama-27b-chatggmlv3q2_Kbin model can be downloaded in GGML format.
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