ibm-granite/granite-4.0-1b-speech
Automatic Speech Recognition • 2B • Updated • 39.5k • 185
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Multinode training, Multi-modal training, SLM
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Finetuning for pointing, object detection task
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#48 opened about 1 year ago
by 
yaneivan
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reactedto MoritzLaurer's post with 👍 over 1 year ago
Post
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I've been building a small library for working with prompt templates on the HF hub:
The community currently shares prompt templates in a wide variety of formats: in datasets, in model cards, as strings in .py files, as .txt/.yaml/.json/.jinja2 files etc. This makes sharing and working with prompt templates unnecessarily complicated.
Prompt templates are currently the main hyperparameter that people tune when building complex LLM systems or agents. If we don't have a common standard for sharing them, we cannot systematically test and improve our systems. After comparing different community approaches, I think that working with modular .yaml or .json files is the best approach.
The
- proposes a standard for sharing prompts (entirely locally or on the HF hub)
- provides some utilities that are interoperable with the broader ecosystem
Try it:
The library is in early stages, feedback is welcome!
More details in the docs: https://github.com/MoritzLaurer/prompt_templates/
pip install prompt-templates. Motivation: The community currently shares prompt templates in a wide variety of formats: in datasets, in model cards, as strings in .py files, as .txt/.yaml/.json/.jinja2 files etc. This makes sharing and working with prompt templates unnecessarily complicated.
Prompt templates are currently the main hyperparameter that people tune when building complex LLM systems or agents. If we don't have a common standard for sharing them, we cannot systematically test and improve our systems. After comparing different community approaches, I think that working with modular .yaml or .json files is the best approach.
The
prompt-templates library : - proposes a standard for sharing prompts (entirely locally or on the HF hub)
- provides some utilities that are interoperable with the broader ecosystem
Try it:
# !pip install prompt-templates
from prompt_templates import PromptTemplateLoader
prompt_template = PromptTemplateLoader.from_hub(repo_id="MoritzLaurer/closed_system_prompts", filename="claude-3-5-artifacts-leak-210624.yaml")The library is in early stages, feedback is welcome!
More details in the docs: https://github.com/MoritzLaurer/prompt_templates/
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AttributeError: module 'torch._dynamo' has no attribute 'mark_static_address'
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#29 opened over 1 year ago
by 
AsirAsir
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