langflow VS Local-LLM-Comparison-Colab-UI

Hey folks I'm the Head of DevRel @ DataStax here and just wanted to share to the HN community that in conjunction with this big acquisition news, the LF team has shipped 1.0-alpha of Langflow.

It's a simple `pip install` and the team would love any and all feedback!

https://github.com/logspace-ai/langflow/

You can also check langflow, a node UI for langchain https://github.com/logspace-ai/langflow

There's a few tools out there like AgentGPT (https://github.com/reworkd/AgentGPT, although it's a more conversational interface), and (https://github.com/logspace-ai/langflow) and others. I think most developers definitely prefer a code-first interface though like a library but haven't found one that's great yet. We've used them in the past but didn't have the best experience so would love to hear if anyone has worked with a library they found really flexible.

I found this thread talking about it here: https://github.com/logspace-ai/langflow/issues/263

also check https://github.com/logspace-ai/langflow

AutoGPT is basically a demo of what you can do with Langchain. If you want to play with Langchain in a drag and drop blueprint environment I suggest Langflow

Hi, I like this! I'm curious what drove the decision to use the vertical block builder style you chose. I'm partial to node-based editors and have been building things with React Flow recently. LangFlow [1] is a good example, but there's lots of UIs that use a similar interface (e.g. Blender [2] and Unity [3]).

[1] https://github.com/logspace-ai/langflow

[2] https://docs.blender.org/manual/en/3.5/interface/controls/no...

[3] https://unity.com/features/unity-visual-scripting

Here's an open source version that's very similar LangFlow

In terms of speed, we're talking about 140t/s for 7B models, and 40t/s for 33B models on a 3090/4090 now.[1] (1 token ~= 0.75 word) It's quite zippy. llama.cpp performs close on Nvidia GPUs now (but they don't have a handy chart) and you can get decent performance on 13B models on M1/M2 Macs.

You can take a look at a list of evals here: https://llm-tracker.info/books/evals/page/list-of-evals - for general usage, I think home-rolled evals like llm-jeopardy [2] and local-llm-comparison [3] by hobbyists are more useful than most of the benchmark rankings.

That being said, personally I mostly use GPT-4 for code assistance to that's what I'm most interested in, and the latest code assistants are scoring quite well: https://github.com/abacaj/code-eval - a recent replit-3b fine tune the human-eval results for open models (as a point of reference, GPT-3.5 gets 60.4 on pass@1 and 68.9 on pass@10 [4]) - I've only just started playing around with it since replit model tooling is not as good as llamas (doc here: https://llm-tracker.info/books/howto-guides/page/replit-mode...).

I'm interested in potentially applying reflexion or some of the other techniques that have been tried to even further increase coding abilities. (InterCode in particular has caught my eye https://intercode-benchmark.github.io/)

[1] https://github.com/turboderp/exllama#results-so-far

[2] https://github.com/aigoopy/llm-jeopardy

[3] https://github.com/Troyanovsky/Local-LLM-comparison/tree/mai...

[4] https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder

The best 7B I tried is WizardLM. It's my go-to model.

If you want to try it out, you can use Google Colab here with Oobabooga Text Generation UI: Link (Remember to check the instruction template and generation parameters)

I'm really impressed by wizardLM-7B.q4_2 (GPT4all) running on my 8gb M2 Mac Air. Fast response, fewer hallucinations than other 7B models I've tried. GPT4All's beta document collection and query function is respectable--going to test it more tomorrow. FWIW wizardLM-7B.q4_2 was ranked very high here https://github.com/Troyanovsky/Local-LLM-comparison.

I made a series of Colab notebooks for different models: https://github.com/Troyanovsky/Local-LLM-comparison

I found it performing very well too in my testing (Repo). It's my second favorite model after WizardLM-13B.

My entire list at: Local LLM Comparison Repo

I just tried HyperMantis and updated the results in the repo. It performs not bad but worse than Nous-Hermes-13B.