General use model based on Llama 2.
62.9K Pulls Updated 5 months ago
Updated 11 months ago
11 months ago
316a090a9db0 · 14GB
Readme
WizardLM is a 70B parameter model based on Llama 2 trained by WizardLM.
Get started with WizardLM
The model used in the example below is the WizardLM model, with 70b parameters, which is a general-use model.
API
- Start Ollama server (Run
ollama serve
)
- Run the model
curl -X POST http://localhost:11434/api/generate -d '{
"model": "wizardlm:70b-llama2-q4_0",
"prompt":"Why is the sky blue?"
}'
CLI
- Install Ollama
- Open the terminal and run
ollama run wizardlm:70b-llama2-q4_0
Note: The ollama run
command performs an ollama pull
if the model is not already downloaded. To download the model without running it, use ollama pull wizardlm:70b-llama2-q4_0
Memory requirements
- 70b models generally require at least 64GB of RAM
If you run into issues with higher quantization levels, try using the q4 model or shut down any other programs that are using a lot of memory.
Model variants
By default, Ollama uses 4-bit quantization. To try other quantization levels, please try the other tags. The number after the q represents the number of bits used for quantization (i.e. q4 means 4-bit quantization). The higher the number, the more accurate the model is, but the slower it runs, and the more memory it requires.
Model source
WizardLM source on Ollama
70b parameters source:
The Bloke
70b parameters original source:
WizardLM