philschmid / MixEval
The official evaluation suite and dynamic data release for MixEval.
☆11Updated 5 months ago
Alternatives and similar repositories for MixEval:
Users that are interested in MixEval are comparing it to the libraries listed below
- Training hybrid models for dummies.☆20Updated 2 months ago
- ☆15Updated 5 months ago
- ☆48Updated 4 months ago
- Unleash the full potential of exascale LLMs on consumer-class GPUs, proven by extensive benchmarks, with no long-term adjustments and min…☆25Updated 4 months ago
- Using modal.com to process FineWeb-edu data☆20Updated 2 weeks ago
- Improving Text Embedding of Language Models Using Contrastive Fine-tuning☆61Updated 7 months ago
- Nexusflow function call, tool use, and agent benchmarks.☆19Updated 3 months ago
- Repository containing the SPIN experiments on the DIBT 10k ranked prompts☆24Updated last year
- Latent Large Language Models☆17Updated 6 months ago
- Train, tune, and infer Bamba model☆86Updated 2 months ago
- A python command-line tool to download & manage MLX AI models from Hugging Face.☆17Updated 6 months ago
- implementation of https://arxiv.org/pdf/2312.09299☆20Updated 8 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆55Updated 6 months ago
- ☆41Updated 3 months ago
- ☆18Updated 5 months ago
- alternative way to calculating self attention☆18Updated 9 months ago
- Repository containing awesome resources regarding Hugging Face tooling.☆46Updated last year
- look how they massacred my boy☆63Updated 5 months ago
- The Benefits of a Concise Chain of Thought on Problem Solving in Large Language Models☆21Updated 3 months ago
- ☆38Updated 7 months ago
- Visualize multi-model embedding spaces. The first goal is to quickly get a lay of the land of any embedding space. Then be able to scroll…☆27Updated 10 months ago
- High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡☆67Updated 4 months ago
- a pipeline for using api calls to agnostically convert unstructured data into structured training data☆29Updated 5 months ago
- ☆50Updated 4 months ago