Laz4rz / RLLinks
☆16Updated 6 months ago
Alternatives and similar repositories for RL
Users that are interested in RL are comparing it to the libraries listed below
Sorting:
- A simple MLX implementation for pretraining LLMs on Apple Silicon.☆83Updated 3 months ago
- rl from zero pretrain, can it be done? yes.☆193Updated this week
- An introduction to LLM Sampling☆79Updated 7 months ago
- MLX port for xjdr's entropix sampler (mimics jax implementation)☆62Updated 9 months ago
- ☆65Updated 2 months ago
- ☆46Updated 4 months ago
- look how they massacred my boy☆63Updated 9 months ago
- j1-micro (1.7B) & j1-nano (600M) are absurdly tiny but mighty reward models.☆95Updated 3 weeks ago
- in this repository, i'm going to implement increasingly complex llm inference optimizations☆64Updated 2 months ago
- smolLM with Entropix sampler on pytorch☆150Updated 9 months ago
- NanoGPT-speedrunning for the poor T4 enjoyers☆69Updated 3 months ago
- Following master Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- Compiling useful links, papers, benchmarks, ideas, etc.☆45Updated 4 months ago
- ☆82Updated last week
- Fine tune Gemma 3 on an object detection task☆74Updated 3 weeks ago
- AI eXplainable Inference & Search. Open Sourcing on-premise, ultra-fast latency intelligence to all.☆34Updated 5 months ago
- One click away from a locally downloaded, fine-tuned model, hosted on hugging face, with inference built in. In two hours.☆22Updated 5 months ago
- Training an LLM to use a calculator with multi-turn reinforcement learning, achieving a **62% absolute increase in evaluation accuracy**.☆45Updated 3 months ago
- an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)☆104Updated 5 months ago
- lossily compress representation vectors using product quantization☆58Updated 3 months ago
- Quick Notebook Tutorials☆36Updated 3 weeks ago
- Simple Transformer in Jax☆138Updated last year
- Train your own SOTA deductive reasoning model☆104Updated 5 months ago
- SIMD quantization kernels☆78Updated last week
- ☆9Updated 9 months ago
- ☆186Updated this week
- run embeddings in MLX☆90Updated 10 months ago
- a tiny vectorstore implementation built with numpy.☆63Updated last year
- Low memory full parameter finetuning of LLMs☆52Updated 3 weeks ago
- Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines☆197Updated last year