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lunarflu new activity 11 days ago

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Tonic

posted an update 2 days ago

Post

1130

🙋🏻‍♂️ Hey there folks ,

Facebook AI just released JASCO models that make music stems .

you can try it out here : Tonic/audiocraft

hope you like it

ngxson

posted an update 4 days ago

Post

1571

Check out my collection of pre-made GGUF LoRA adapters!

This allow you to use both normal + abliterated version of popular models like llama, qwen, etc, without having to double to amount of VRAM usage.

ngxson/gguf_lora_collection

4 replies

Tonic

posted an update 4 days ago

Post

2204

🙋🏻‍♂️Hey there folks , Open LLM Europe just released Lucie 7B-Instruct model , a billingual instruct model trained on open data ! You can check out my unofficial demo here while we wait for the official inference api from the group : Tonic/Lucie-7B hope you like it 🚀

ngxson

posted an update 9 days ago

Post

2284

I made this small tool that can be useful for debugging Ollama chat template: ngxson/ollama_template_test

CC @bartowski you may need this ;-)

2 replies

Tonic

posted an update 10 days ago

Post

1624

microsoft just released Phi-4 , check it out here : Tonic/Phi-4

hope you like it :-)

lunarflu

in blog-explorers/README 11 days ago

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#5 opened 10 months ago by

victor

MaziyarPanahi

in blog-explorers/README 11 days ago

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#5 opened 10 months ago by

victor

akkasayaz

in blog-explorers/README 12 days ago

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#5 opened 10 months ago by

victor

huybery

authored a paper 15 days ago

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Paper • 2501.01257 • Published 16 days ago • 47

wolfram

in blog-explorers/README 15 days ago

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#5 opened 10 months ago by

victor

huybery

authored 8 papers 26 days ago

Iterative Forward Tuning Boosts In-Context Learning in Language Models

Paper • 2305.13016 • Published May 22, 2023

PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts

Paper • 2305.14839 • Published May 24, 2023 • 1

One Shot Learning as Instruction Data Prospector for Large Language Models

Paper • 2312.10302 • Published Dec 16, 2023 • 3

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Paper • 2406.15877 • Published Jun 22, 2024 • 46

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning

Paper • 2301.13808 • Published Jan 31, 2023

Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing

Paper • 2301.07507 • Published Jan 18, 2023

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Paper • 2409.12122 • Published Sep 18, 2024 • 3

ExecRepoBench: Multi-level Executable Code Completion Evaluation

Paper • 2412.11990 • Published Dec 16, 2024

ehristoforu

posted an update 27 days ago

Post

3034

✒️ Ultraset - all-in-one dataset for SFT training in Alpaca format.
fluently-sets/ultraset

❓ Ultraset is a comprehensive dataset for training Large Language Models (LLMs) using the SFT (instruction-based Fine-Tuning) method. This dataset consists of over 785 thousand entries in eight languages, including English, Russian, French, Italian, Spanish, German, Chinese, and Korean.

🤯 Ultraset solves the problem faced by users when selecting an appropriate dataset for LLM training. It combines various types of data required to enhance the model's skills in areas such as text writing and editing, mathematics, coding, biology, medicine, finance, and multilingualism.

🤗 For effective use of the dataset, it is recommended to utilize only the "instruction," "input," and "output" columns and train the model for 1-3 epochs. The dataset does not include DPO or Instruct data, making it suitable for training various types of LLM models.

❇️ Ultraset is an excellent tool to improve your language model's skills in diverse knowledge areas.

huybery

authored a paper 29 days ago

Qwen2.5 Technical Report

Paper • 2412.15115 • Published 30 days ago • 340

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