codealpaca
stable-diffusion-ui
codealpaca | stable-diffusion-ui | |
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20 | 249 | |
1,381 | 6,808 | |
- | - | |
4.4 | 9.9 | |
about 1 year ago | 11 months ago | |
Python | JavaScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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codealpaca
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Just put together a programming performance ranking for popular LLaMAs using the HumanEval+ Benchmark!
CodeAlpaca 7B
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OpenAI isn’t doing enough to make ChatGPT’s limitations clear
This is great!
Addressing the model limitations a bit: in the demonstration data that is provided to the base model, we should prevent computed or "looked up" answers.
I've seen some of the demonstration data that people are using to train instruction-tuned models and are being taught to respond by making up answers to solutions it shouldn't try to compute. Btw, the output is wrong.
{ "instruction": "What would be the output of the following JavaScript snippet?", "input": "let area = 6 * 5;\nlet radius = area / 3.14;", "output": "The output of the JavaScript snippet is the radius, which is 1.91." }, [1]
The UI note for now would get us very far but by filtering out demonstrations that retrieve or compute information should be filtered out.
Symbol tuning [2] is addressing the quality of demonstrations but we can take it further by removing retrievals and computations altogether.
Bonus: we can demonstrate how to make it respond so that the user/agent be informed of how to compute or retrieve.
1: https://github.com/sahil280114/codealpaca/commit/0d265112c70...
2: https://arxiv.org/abs/2305.08298
- How to Finetune GPT Like Large Language Models on a Custom Dataset
- Ask HN: Those with success using GPT-4 for programming – what are you doing?
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Is there a colab or guide for fine tuning a 13b model for instruction following?
I found guides like this: https://github.com/sahil280114/codealpaca
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Can LLMs do static code analysis?
Try, https://github.com/sahil280114/codealpaca, or we’re you trying to stick with more generalist models?
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LoRA in LLaMAc++? Converting to 4bit? How to use models that are split into multiple .bin ?
Oh, I see. That makes sense. I'm also sleep deprived over here so my reading comprehension is a bit low ;|. Well in that case check out this link: https://github.com/sahil280114/codealpaca
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Cerebras-GPT: A Family of Open, Compute-Efficient, Large Language Models
Sorry for the late reply, as I said Flan-UL2 (or Flan-T5 if you want lighter models) fine-tuned against a dataset like CodeAlpaca's[0] is probably the best solution if it's intended for commercial use (otherwise LLaMa should perform better).
[0]: https://github.com/sahil280114/codealpaca
- CodeAlpaca – Instruction following code generation model
stable-diffusion-ui
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Useful Links
CMDR2's 1-Click Installer
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Best current stable diffusion UI app?
Hey so i'm currently using easydiffusion but its missing one feature i've been really wanting to play around with recently. Video, and i've heard from some others that its one of the easiest to install but least peformant and worse options you can get; so what do you guys suggest?
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The softer side of self hosting: The aesthetics, logos
Or just use the CPU and it works, just takes a few minutes. stable diffusion cpu But don't let me stop you, I need one too.
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So how is nvidia gpu experience these days?
No. CUDA is very straightforward. There is even a nice project that sets up Stable Diffusion for you. With basically no knowledge about AI i was able to get it to run. If i recall correctly i just needed to install one dependency manually, and i was provided with nice web gui for playing with it.
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Models and samplers…
You could read the guide first: https://github.com/cmdr2/stable-diffusion-ui/wiki/UI-Overview or Start easy diffusion
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Could someone please make my wife into a realistic sculpture/statue? Will tip $50 for a perfect one!
Thanks and your right there are loads, trying out this from GitHub
- What is the text-to-image AI tool?
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Tip for a (kinda) newbie
Simplest start https://github.com/cmdr2/stable-diffusion-ui
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SD privacy? Offline? Concerns?
First is Easy Diffusion, you need to be online just once to run the installer. It downloads several extra files. Let it finish and then make some test pictures. Exit everything (browser window and text window). Then anytime you want to run it, just turn off internet and run the batch file to start it up. No internet!
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Need help installing SD on AMD!!
Yesterday I got Easy Diffusion to work (on Windows only), but it refuses to use the GPU and instead uses the CPU, which of course, takes nearly an hour to make a 512x512 image.
What are some alternatives?
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
stable-diffusion-webui - Stable Diffusion web UI
alpaca-electron - The simplest way to run Alpaca (and other LLaMA-based local LLMs) on your own computer
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
llm-code - An OpenAI LLM based CLI coding assistant.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
llm-humaneval-benchmarks
A1111-Web-UI-Installer - Complete installer for Automatic1111's infamous Stable Diffusion WebUI
awesome-ai-coding - Awesome AI Coding
civitai - A repository of models, textual inversions, and more
openplayground-api - A reverse engineered Python API wrapper for OpenPlayground (nat.dev)
SHARK - SHARK - High Performance Machine Learning Distribution