getllms - 1.2

The LLMs index. Uses the LMStudio Catalog.

$ pip install getllms

In This Version

What's New

• 0.5: Support for Notebooks

• 0.4: Minor fixes

• 1.1: Download updates

• 1.2: Added CLI

List All LLMs.

List all LLMs available for use. Selected for you.

import getllms

models = getllms.list_models()

Output

[
  Model(
    name="Google's Gemma 2B Instruct", 
    description='** Requires LM Studio 0.2.15 or new…', 
    files=[ …(1) ]
  ), 
  Model(
    name='Mistral 7B Instruct v0.2', 
    description='The Mistral-7B-Instruct-v0.2 Large …', 
    files=[ …(2) ]
  ),
  ...
]

See Trained LLMs.

Get the trained ones for a specific model. Select the one that meets your system requirements.

# select Google's Gemma 2B Instruct
model = models[0]
model.files

Output & More

Output

FileCollection(
  best=ModelFile(
    name='gemma-2b-it-q8_0.gguf', 
    size=2669351840, 
    url='https://huggingface.co/lmstudi…'
  ),
  +0
)

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More

Additionally, you can see all the available model files:

model.files.all # [ ModelFile(...), ... ]

Download LLMs.

Download the LLM that's right for you.

model.download("model.bin")

Output

  0.0% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 900.0KB / 2.5GB (8.7MB/s)

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CLI

Learn how to use the CLI from the help command or refer to this page.

$ getllms

List Models.

To list all models, use the getllms list command. Note that this truncates down to showing only 5 models. If you wish to list all of them, use getllms list all instead.

$ getllms list

Output

Google's Gemma 2B Instruct

** Requires LM Studio 0.2.15 or newer ** Gemma is a family of lightweight LLMs built from the same research and technology Google used to create the Gemini models. Gemma models are available in two sizes, 2 billion and 7 billion parameters. These models are trained on up to 6T tokens of primarily English web documents, mathematics, and code, using a transformer architecture with enhancements like Multi-Query Attention, RoPE Embeddings, GeGLU Activations, and advanced normalization techniques.


Mistral 7B Instruct v0.2

The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of Mistral-7B-Instruct-v0.1. For full details of this model read MistralAI's blog post and paper.

(...)

Download Models.

To download a model, use getllms <model name>:

$ getllms "Google's Gemma 2B Instruct"

Specify model size

If you wish to specify the model's size (economical/best), just add the desired size inside of square brackets after the name of the model.

$ getllms "Google's Gemma 2B Instruct [economical]"

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