Arcee-Lite is a compact yet powerful 1.5B parameter language model developed as part of the DistillKit open-source project. Despite its small size, Arcee-Lite demonstrates impressive performance, particularly in the MMLU (Massive Multitask Language Understanding) benchmark.
Enhanced Performance
: Merged with high-performing distillations
About DistillKit
DistillKit is our new open-source project focused on creating efficient, smaller models that maintain high performance. Arcee-Lite is one of the first models to emerge from this initiative.
Performance
Arcee-Lite showcases remarkable capabilities for its size:
Achieves a 55.93 score on the MMLU benchmark
Demonstrates exceptional performance across various tasks
Use Cases
Arcee-Lite is suitable for a wide range of applications where a balance between model size and performance is crucial:
Embedded systems
Mobile applications
Edge computing
Resource-constrained environments
Please note that our internal evaluations were consistantly higher than their counterparts on the OpenLLM Leaderboard - and should only be compared against the relative performance between the models, not weighed against the leaderboard.
Runs of arcee-ai arcee-lite on huggingface.co
162
Total runs
4
24-hour runs
13
3-day runs
65
7-day runs
2
30-day runs
More Information About arcee-lite huggingface.co Model
arcee-lite huggingface.co is an AI model on huggingface.co that provides arcee-lite's model effect (), which can be used instantly with this arcee-ai arcee-lite model. huggingface.co supports a free trial of the arcee-lite model, and also provides paid use of the arcee-lite. Support call arcee-lite model through api, including Node.js, Python, http.
arcee-lite huggingface.co is an online trial and call api platform, which integrates arcee-lite's modeling effects, including api services, and provides a free online trial of arcee-lite, you can try arcee-lite online for free by clicking the link below.
arcee-ai arcee-lite online free url in huggingface.co:
arcee-lite is an open source model from GitHub that offers a free installation service, and any user can find arcee-lite on GitHub to install. At the same time, huggingface.co provides the effect of arcee-lite install, users can directly use arcee-lite installed effect in huggingface.co for debugging and trial. It also supports api for free installation.