wizardlm

General use model based on Llama 2.

10.7K Pulls Updated 3 weeks ago

73 Tags

6 months ago

2d269a65a092 · 39GB

model
llama
·
65B
·
4-bit
system
A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
params
{"stop":["USER:","ASSISTANT:"]}
template
{{ .System }} USER: {{ .Prompt }} ASSISTANT:

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

  1. Start Ollama server (Run ollama serve)
  2. 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

  1. Install Ollama
  2. 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