Ino-Ichan / GIT-LLMLinks
☆22Updated 2 years ago
Alternatives and similar repositories for GIT-LLM
Users that are interested in GIT-LLM are comparing it to the libraries listed below
Sorting:
- ☆19Updated last year
- Ongoing Research Project for continaual pre-training LLM(dense mode)☆42Updated 6 months ago
- ☆61Updated last year
- Ongoing research training Mixture of Expert models.☆20Updated last year
- ☆23Updated 7 months ago
- Mamba training library developed by kotoba technologies☆71Updated last year
- ☆177Updated last year
- CycleQD is a framework for parameter space model merging.☆44Updated 7 months ago
- Official implementation of "TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models"☆114Updated 7 months ago
- ☆16Updated last year
- ☆15Updated last year
- LLaVA-JP is a Japanese VLM trained by LLaVA method☆62Updated last year
- Japanese LLaMa experiment☆55Updated 9 months ago
- Unofficial entropix impl for Gemma2 and Llama and Qwen2 and Mistral☆17Updated 8 months ago
- Swallowプロジェクト 大規模言語モデル 評価スクリプト☆22Updated this week
- ☆36Updated 5 months ago
- ☆137Updated last week
- Code for Discovering Preference Optimization Algorithms with and for Large Language Models☆63Updated last year
- Support Continual pre-training & Instruction Tuning forked from llama-recipes☆33Updated last year
- Checkpointable dataset utilities for foundation model training☆32Updated last year
- Mixtral-based Ja-En (En-Ja) Translation model☆19Updated 8 months ago
- Plug in & Play Pytorch Implementation of the paper: "Evolutionary Optimization of Model Merging Recipes" by Sakana AI☆30Updated 10 months ago
- A lightweight framework for evaluating visual-language models.☆36Updated 3 weeks ago
- Project of llm evaluation to Japanese tasks☆89Updated this week
- ☆50Updated last year
- GPT-4 を用いて、言語モデルの応答を自動評価するスクリプト☆16Updated last year
- Swallowプロジェクト 事後学習済み大規模言語モデル 評価フレームワーク☆21Updated last week
- A framework for few-shot evaluation of autoregressive language models.☆154Updated last year
- LEIA: Facilitating Cross-Lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation☆22Updated last year
- ☆24Updated last year