Icelandic LLM Leaderboard
🚀
18
Evaluating LLMs on Icelandic language tasks
Thorvaldur Thorvaldsson
hfthorvaldur
AI & ML interests
None yet
Recent Activity
liked a Space 6 days ago
mideind/icelandic-llm-leaderboard liked a model about 2 years ago
bartowski/Qwen2.5-32B-Instruct-GGUF liked a model about 2 years ago
Qwen/Qwen2.5-32B-InstructOrganizations
None yet
liked a
Space 6 days ago
liked 4
models about 2 years ago
bartowski/Qwen2.5-32B-Instruct-GGUF
Text Generation • 33B • Updated • 542k • 77
Qwen/Qwen2.5-32B-Instruct
Text Generation • 33B • Updated • 1.85M • • 362
InferenceIllusionist/Mistral-Large-Instruct-2407-iMat-GGUF
123B • Updated • 1.21k • 3
Qwen/Qwen2-Math-72B-Instruct
Text Generation • 73B • Updated • 327 • • 89
liked a
Space about 2 years ago
liked a
model about 2 years ago
liked a
Space over 2 years ago
liked a
model over 2 years ago
upvoted a paper over 2 years ago
liked 2
models over 2 years ago
reacted to awni's post with ❤️ over 2 years ago
Post
First HF social post:
pip install -U mlx
pip install -U mlx
- 2 replies
reacted to dvilasuero's post with ❤️ over 2 years ago
Post
🚀 The Open Source AI community needs more open datasets for improving Open LLMs. Excited to share our new open dataset for boosting chat models:
🎉 Welcome Distilabel Capybara DPO, a multi-turn, high-quality preference dataset.
argilla/distilabel-capybara-dpo-7k-binarized
Why?
Best closed chat models are built on top of multi-turn dialogue preference data. The OSS community lacks these datasets. This dataset is the first in the series to close this gap.
Is this dataset useful?
To test this dataset, we've built our virtual launching partner:
🎉 Welcome CapybaraHermes, a preference tuned OpenHermes with increased second turn capabilities on MTBench
argilla/CapybaraHermes-2.5-Mistral-7B
As usual, models are the least important to us. We like to focus on the data. Our mission is to build and share high-quality datasets, sharing our methods in the open so the community can improve upon them.
That's why, we took some time to describe the full methodology on the dataset card, check it out and give us feedback! Data and methods are never perfect!
Finally, this is just a preview version and would love to collaborate with you to add more benchmarking results, what hyperparams work for DPO'ing models, what mix of datasets, etc.
Expect some more datasets in the coming weeks. Let's build the best data for AI, together.
🎉 Welcome Distilabel Capybara DPO, a multi-turn, high-quality preference dataset.
argilla/distilabel-capybara-dpo-7k-binarized
Why?
Best closed chat models are built on top of multi-turn dialogue preference data. The OSS community lacks these datasets. This dataset is the first in the series to close this gap.
Is this dataset useful?
To test this dataset, we've built our virtual launching partner:
🎉 Welcome CapybaraHermes, a preference tuned OpenHermes with increased second turn capabilities on MTBench
argilla/CapybaraHermes-2.5-Mistral-7B
As usual, models are the least important to us. We like to focus on the data. Our mission is to build and share high-quality datasets, sharing our methods in the open so the community can improve upon them.
That's why, we took some time to describe the full methodology on the dataset card, check it out and give us feedback! Data and methods are never perfect!
Finally, this is just a preview version and would love to collaborate with you to add more benchmarking results, what hyperparams work for DPO'ing models, what mix of datasets, etc.
Expect some more datasets in the coming weeks. Let's build the best data for AI, together.
- 1 reply
liked 4
models over 2 years ago
