SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
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2502.02737
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58
La Leaderboard
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LLM Leaderboard for Spanish Varieties and Official Languages
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clefourrier
authored
a
paper
about 1 hour ago
albertvillanova
posted
an
update
2 days ago
Post
1727
🚀 Introducing
@huggingface
Open Deep-Research💥
In just 24 hours, we built an open-source agent that:
✅ Autonomously browse the web
✅ Search, scroll & extract info
✅ Download & manipulate files
✅ Run calculations on data
55% on GAIA validation set! Help us improve it!💡
https://huggingface.co/blog/open-deep-research
In just 24 hours, we built an open-source agent that:
✅ Autonomously browse the web
✅ Search, scroll & extract info
✅ Download & manipulate files
✅ Run calculations on data
55% on GAIA validation set! Help us improve it!💡
https://huggingface.co/blog/open-deep-research
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[bot] Conversion to Parquet
#1 opened 4 months ago
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parquet-converter
javicond3
authored
5
papers
16 days ago
Spanish and LLM Benchmarks: is MMLU Lost in Translation?
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2406.17789
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Published
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1
How Stable is Stable Diffusion under Recursive InPainting (RIP)?
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2407.09549
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1
Using large language models to estimate features of multi-word expressions: Concreteness, valence, arousal
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2408.16012
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Published
Evaluating Large Language Models with Tests of Spanish as a Foreign Language: Pass or Fail?
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2409.15334
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1
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong
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2501.09775
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28
gonzmart
authored
a
paper
17 days ago
reviriego
authored
a
paper
17 days ago
mariagrandury
updated
a
dataset
21 days ago
Agregar idioma
4
#12 opened 2 months ago
by
BarraHome
submission model queue
3
#14 opened 22 days ago
by
shitianqi
Some Evaluate Results are zero
1
#13 opened 2 months ago
by
shitianqi
albertvillanova
posted
an
update
about 1 month ago
Post
2036
Discover all the improvements in the new version of Lighteval: https://huggingface.co/docs/lighteval/
clefourrier
authored
a
paper
2 months ago
SaylorTwift
posted
an
update
3 months ago
Post
486
How do I test an LLM for my unique needs?
If you work in finance, law, or medicine, generic benchmarks are not enough.
This blog post uses Argilla, Distilllabel and 🌤️Lighteval to generate evaluation dataset and evaluate models.
https://github.com/argilla-io/argilla-cookbook/blob/main/domain-eval/README.md
If you work in finance, law, or medicine, generic benchmarks are not enough.
This blog post uses Argilla, Distilllabel and 🌤️Lighteval to generate evaluation dataset and evaluate models.
https://github.com/argilla-io/argilla-cookbook/blob/main/domain-eval/README.md
albertvillanova
posted
an
update
3 months ago
Post
1766
🚨 How green is your model? 🌱 Introducing a new feature in the Comparator tool: Environmental Impact for responsible #LLM research!
👉 open-llm-leaderboard/comparator
Now, you can not only compare models by performance, but also by their environmental footprint!
🌍 The Comparator calculates CO₂ emissions during evaluation and shows key model characteristics: evaluation score, number of parameters, architecture, precision, type... 🛠️
Make informed decisions about your model's impact on the planet and join the movement towards greener AI!
👉 open-llm-leaderboard/comparator
Now, you can not only compare models by performance, but also by their environmental footprint!
🌍 The Comparator calculates CO₂ emissions during evaluation and shows key model characteristics: evaluation score, number of parameters, architecture, precision, type... 🛠️
Make informed decisions about your model's impact on the planet and join the movement towards greener AI!
albertvillanova
posted
an
update
3 months ago
Post
1576
🚀 New feature of the Comparator of the 🤗 Open LLM Leaderboard: now compare models with their base versions & derivatives (finetunes, adapters, etc.). Perfect for tracking how adjustments affect performance & seeing innovations in action. Dive deeper into the leaderboard!
🛠️ Here's how to use it:
1. Select your model from the leaderboard.
2. Load its model tree.
3. Choose any base & derived models (adapters, finetunes, merges, quantizations) for comparison.
4. Press Load.
See side-by-side performance metrics instantly!
Ready to dive in? 🏆 Try the 🤗 Open LLM Leaderboard Comparator now! See how models stack up against their base versions and derivatives to understand fine-tuning and other adjustments. Easier model analysis for better insights! Check it out here: open-llm-leaderboard/comparator 🌐
🛠️ Here's how to use it:
1. Select your model from the leaderboard.
2. Load its model tree.
3. Choose any base & derived models (adapters, finetunes, merges, quantizations) for comparison.
4. Press Load.
See side-by-side performance metrics instantly!
Ready to dive in? 🏆 Try the 🤗 Open LLM Leaderboard Comparator now! See how models stack up against their base versions and derivatives to understand fine-tuning and other adjustments. Easier model analysis for better insights! Check it out here: open-llm-leaderboard/comparator 🌐
albertvillanova
posted
an
update
3 months ago
Post
3153
🚀 Exciting update! You can now compare multiple models side-by-side with the Hugging Face Open LLM Comparator! 📊
open-llm-leaderboard/comparator
Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready to level up your model comparison game?
open-llm-leaderboard/comparator
Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready to level up your model comparison game?