Results for “llm-post-training”
10 skills
jiachen-t-wang laclip-improving-clip-training-with-language-rewrites-arxiv-
LaCLIP: Improving CLIP Training with Language Rewrites
6
orchestra-research openrlhf-training
Train large language models (7B-70B+) with RLHF using PPO, GRPO, DPO, and other algorithms, accelerated by Ray and vLLM for distributed multi-GPU setups.
10.4k · bundle
jiachen-t-wang pali-3-smaller-faster-stronger-arxiv-2310-09199v2
PaLI-3: Smaller, Faster, Stronger
6
orchestra-research pytorch-lightning
Organizes PyTorch code with a Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks, and minimal boilerplate. Scales from laptop to supercomputer with the same code.
10.4k · bundle
jiachen-t-wang visual-instruction-tuning-arxiv-2304-08485v2
Visual Instruction Tuning
6
qcmuu pytorch-lightning
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
0 · bundle
sandeeprdy1729 lstm
Comprehensive guide to lstm. Master the concepts, implementation, best practices, and real-world applications of lstm in professional environments.
1
jiachen-t-wang vila-on-pre-training-for-visual-language-models-arxiv-2312-0
VILA: On Pre-training for Visual Language Models
6
tianhao909 openrlhf-training
High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.
1 · bundle
jiachen-t-wang llava-critic-learning-to-evaluate-multimodal-models-arxiv-24
LLaVA-Critic: Learning to Evaluate Multimodal Models
6