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Python instruct-tuning Projects
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instruct-eval
This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
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InfluxDB
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Project mention: Show HN: Emu2 – A Gemini-like open-source 37B Multimodal Model | news.ycombinator.com | 2023-12-21I'm excited to introduce Emu2, the latest generative multimodal model developed by the Beijing Academy of Artificial Intelligence (BAAI). Emu2 is an open-source initiative that reflects BAAI's commitment to fostering open, secure, and responsible AI research. It's designed to enhance AI's proficiency in handling tasks across various modalities with minimal examples and straightforward instructions.
Emu2 has demonstrated superior performance over other large-scale models like Flamingo-80B in few-shot multimodal understanding tasks. It serves as a versatile base model for developers, providing a flexible platform for crafting specialized multimodal applications.
Key features of Emu2 include:
- A more streamlined modeling framework than its predecessor, Emu.
- A decoder capable of reconstructing images from the encoder's semantic space.
- An expansion to 37 billion parameters, boosting both capabilities and generalization.
BAAI has also released fine-tuned versions, Emu2-Chat for visual understanding and Emu2-Gen for visual generation, which stand as some of the most powerful open-source models available today.
Here are the resources for those interested in exploring or contributing to Emu2:
- Project: https://baaivision.github.io/emu2/
- Model: https://huggingface.co/BAAI/Emu2
- Code: https://github.com/baaivision/Emu/tree/main/Emu2
- Demo: https://huggingface.co/spaces/BAAI/Emu2
- Paper: https://arxiv.org/abs/2312.13286
We're eager to see how the HN community engages with Emu2 and we welcome your feedback to help us improve. Let's collaborate to push the boundaries of multimodal AI!
Project mention: Eval mmlu result against various infer methods (HF_Causal, VLLM, AutoGPTQ, AutoGPTQ-exllama) | /r/LocalLLaMA | 2023-09-08I modified declare-lab's instruct-eval scripts, add support to VLLM, AutoGPTQ (and new autoGPTQ support exllama now), and test the mmlu result. I also add support to fastllm (which can accelerate ChatGLM2-6b.The code is here https://github.com/declare-lab/instruct-eval , I'd like to hear any errors in those code.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python instruct-tuning related posts
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Show HN: Emu2 – A Gemini-like open-source 37B Multimodal Model
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Eval mmlu result against various infer methods (HF_Causal, VLLM, AutoGPTQ, AutoGPTQ-exllama)
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[D] Red Pajamas Instruct 7B. Is it really that bad or some some ggml/quantization artifact? Vicuna-7b has no issue writing stories and even does basic text transformation. Yet RP refuses to do anything most of the time. It does generate a story if you run it as a raw model, but gets into a loop.
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[P] The first RedPajama models are here! The 3B and 7B models are now available under Apache 2.0, including instruction-tuned and chat versions. These models aim replicate LLaMA as closely as possible.
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Best Instruct-Trained Alternative to Alpaca/Vicuna?
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Stability AI Launches the First of Its StableLM Suite of Language Models
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A note from our sponsor - SaaSHub
www.saashub.com | 4 May 2024
Index
| Project | Stars | |
|---|---|---|
| 1 | Emu | 1,502 |
| 2 | instruct-eval | 468 |
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