huggingface / local-gemmaLinks
Gemma 2 optimized for your local machine.
☆378Updated last year
Alternatives and similar repositories for local-gemma
Users that are interested in local-gemma are comparing it to the libraries listed below
Sorting:
- FineTune LLMs in few lines of code (Text2Text, Text2Speech, Speech2Text)☆246Updated 2 years ago
- ☆269Updated 7 months ago
- ☆165Updated 5 months ago
- ☆101Updated last year
- ☆209Updated 11 months ago
- ☆207Updated last year
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆232Updated last year
- ☆170Updated last year
- Official inference library for pre-processing of Mistral models☆846Updated last week
- Banishing LLM Hallucinations Requires Rethinking Generalization☆276Updated last year
- A Lightweight Library for AI Observability☆255Updated 11 months ago
- Kyutai with an "eye"☆235Updated 10 months ago
- A benchmark for emotional intelligence in large language models☆398Updated last year
- Phi-3.5 for Mac: Locally-run Vision and Language Models for Apple Silicon☆273Updated 2 months ago
- Micro Llama is a small Llama based model with 300M parameters trained from scratch with $500 budget☆169Updated 5 months ago
- ☆446Updated last year
- Fast parallel LLM inference for MLX☆243Updated last year
- Solving data for LLMs - Create quality synthetic datasets!☆151Updated last year
- ☆140Updated 5 months ago
- GRadient-INformed MoE☆264Updated last year
- Simple UI for debugging correlations of text embeddings☆305Updated 8 months ago
- Let's build better datasets, together!☆269Updated last year
- Video+code lecture on building nanoGPT from scratch☆68Updated last year
- Notus is a collection of fine-tuned LLMs using SFT, DPO, SFT+DPO, and/or any other RLHF techniques, while always keeping a data-first app…☆169Updated 2 years ago
- 🤗 Benchmark Large Language Models Reliably On Your Data☆425Updated last month
- ☆159Updated 9 months ago
- Generate Synthetic Data Using OpenAI, MistralAI or AnthropicAI☆222Updated last year
- A simple tool that let's you explore different possible paths that an LLM might sample.☆200Updated 8 months ago
- 1.58-bit LLaMa model☆83Updated last year
- Low-Rank adapter extraction for fine-tuned transformers models☆180Updated last year