imanjundi's Stars
meta-llama/llama
Inference code for Llama models
lm-sys/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
huggingface/diffusers
š¤ Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
guidance-ai/guidance
A guidance language for controlling large language models.
tloen/alpaca-lora
Instruct-tune LLaMA on consumer hardware
stanfordnlp/dspy
DSPy: The framework for programmingānot promptingāfoundation models
unslothai/unsloth
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
artidoro/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
microsoft/promptbase
All things prompt engineering
Instruction-Tuning-with-GPT-4/GPT-4-LLM
Instruction Tuning with GPT-4
bigscience-workshop/promptsource
Toolkit for creating, sharing and using natural language prompts.
huggingface/setfit
Efficient few-shot learning with Sentence Transformers
THUDM/AgentBench
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
eric-mitchell/direct-preference-optimization
Reference implementation for DPO (Direct Preference Optimization)
THUDM/P-tuning-v2
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
stanford-crfm/helm
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).
DigitalPhonetics/IMS-Toucan
Multilingual and Controllable Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart.
GaryYufei/AlignLLMHumanSurvey
Aligning Large Language Models with Human: A Survey
johnsmith0031/alpaca_lora_4bit
HazyResearch/H3
Language Modeling with the H3 State Space Model
r-three/t-few
Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
ezelikman/parsel
Code for Parsel š - generate complex programs with language models
kongds/Prompt-BERT
PromptBERT: Improving BERT Sentence Embeddings with Prompts
facebookresearch/tart
Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.
symanto-research/few-shot-learning-label-tuning
A few-shot learning method based on siamese networks.
yiren-jian/LM-SupCon
[NAACL 2022] Contrastive Learning for Prompt-based Few-shot Language Learners
allenai/adapt-demos
Lightweight tools for quick and easy LLM demo's
suzyahyah/modeling_belief_alignment_arguments