Finetuned from model :
unsloth/qwen2.5-1.5b-bnb-4bit
This fine-tune of Qwen 2.5 1.5B is trained to take any input text and repeat it (with fixed grammar).
Example:
User
: Find a clip from a professional production of any musical within the past 50 years. The Tony awards have a lot of great options of performances of Tony nominated performances in the archives on their websites.
GRMR-1.5B-Instruct
: Find a clip from a professional production of any musical within the past 50 years. The Tony Awards have a lot of great options of performances of Tony-nominated performances in their archives on their websites.
Note: This model uses a custom chat template:
Below is the original text. Please rewrite it to correct any grammatical errors if any, improve clarity, and enhance overall readability.
### Original Text:
{PROMPT HERE}
### Corrected Text:
{MODEL'S OUTPUT HERE}
I would recommend a temperature of 0.0 and repeat penalty 1.0 for this model to get optimal results.
Runs of qingy2024 GRMR-1.5B-Instruct on huggingface.co
15
Total runs
0
24-hour runs
2
3-day runs
4
7-day runs
-12
30-day runs
More Information About GRMR-1.5B-Instruct huggingface.co Model
GRMR-1.5B-Instruct huggingface.co is an AI model on huggingface.co that provides GRMR-1.5B-Instruct's model effect (), which can be used instantly with this qingy2024 GRMR-1.5B-Instruct model. huggingface.co supports a free trial of the GRMR-1.5B-Instruct model, and also provides paid use of the GRMR-1.5B-Instruct. Support call GRMR-1.5B-Instruct model through api, including Node.js, Python, http.
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qingy2024 GRMR-1.5B-Instruct online free url in huggingface.co:
GRMR-1.5B-Instruct is an open source model from GitHub that offers a free installation service, and any user can find GRMR-1.5B-Instruct on GitHub to install. At the same time, huggingface.co provides the effect of GRMR-1.5B-Instruct install, users can directly use GRMR-1.5B-Instruct installed effect in huggingface.co for debugging and trial. It also supports api for free installation.