Alternatives and similar repositories for distill-bloom-deepspeed

Users that are interested in distill-bloom-deepspeed are comparing it to the libraries listed below

• HanGuo97 / lq-lora
  ☆128Updated last year
• GAIR-NLP / Entropy-ABF
  Official implementation for 'Extending LLMs’ Context Window with 100 Samples'
  ☆81Updated last year
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆45Updated last month
• facebookresearch / lss_eval
  This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found he…
  ☆31Updated 2 years ago
• kaistAI / GAP
  [ACL 2023] Gradient Ascent Post-training Enhances Language Model Generalization
  ☆29Updated last year
• snu-mllab / Context-Memory
  Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)
  ☆63Updated last year
• seonghyeonye / Flipped-Learning
  [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
  ☆116Updated 5 months ago
• Raibows / Learn-to-Reason
  Code for "Democratizing Reasoning Ability: Tailored Learning from Large Language Model", EMNLP 2023
  ☆36Updated last year
• amazon-science / dq-bart
  DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization (ACL 2022)
  ☆50Updated 2 years ago
• jaymody / speculative-sampling
  Simple implementation of Speculative Sampling in NumPy for GPT-2.
  ☆98Updated 2 years ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• kyegomez / LM-Infinite
  Implementation of "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"
  ☆40Updated last year
• whyNLP / LCKV
  Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…
  ☆157Updated 7 months ago
• kaistAI / factual-knowledge-acquisition
  ☆23Updated last week
• kernelmachine / silo-lm
  SILO Language Models code repository
  ☆83Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆78Updated last year
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 3 years ago
• huawei-noah / Efficient-NLP
  ☆95Updated last year
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆60Updated last year
• ShiZhengyan / InstructionModelling
  [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"
  ☆38Updated last year
• FreedomIntelligence / MultilingualSIFT
  MultilingualSIFT: Multilingual Supervised Instruction Fine-tuning
  ☆94Updated 2 years ago
• prateeky2806 / ComPEFT
  ☆26Updated 2 years ago
• bigcode-project / astraios
  Astraios: Parameter-Efficient Instruction Tuning Code Language Models
  ☆63Updated last year
• nyu-mll / ILF-for-code-generation
  ☆80Updated 8 months ago
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆40Updated last year
• huggingface / transformers_bloom_parallel
  Techniques used to run BLOOM at inference in parallel
  ☆37Updated 3 years ago
• facebookresearch / llm-cross-capabilities
  Official implementation for "Law of the Weakest Link: Cross capabilities of Large Language Models"
  ☆43Updated last year
• sanyalsunny111 / LLM-Inheritune
  This is the official repository for Inheritune.
  ☆115Updated 9 months ago
• kssteven418 / BigLittleDecoder
  [NeurIPS'23] Speculative Decoding with Big Little Decoder
  ☆95Updated last year
• lfsszd / CS-Drafting
  Cascade Speculative Drafting
  ☆32Updated last year