mistral-src VS text-generation-webui-colab

Compare mistral-src vs text-generation-webui-colab and see what are their differences.

mistral-src

Reference implementation of Mistral AI 7B v0.1 model. (by mistralai)
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mistral-src text-generation-webui-colab
9 4
8,732 2,037
4.1% -
7.3 8.7
about 2 months ago 5 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 The Unlicense
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

mistral-src

Posts with mentions or reviews of mistral-src. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-01.
  • Mistral 7B vs. Mixtral 8x7B
    1 project | dev.to | 26 Mar 2024
    A French startup, Mistral AI has released two impressive large language models (LLMs) - Mistral 7B and Mixtral 8x7B. These models push the boundaries of performance and introduce a better architectural innovation aimed at optimizing inference speed and computational efficiency.
  • How to have your own ChatGPT on your machine (and make him discussed with himself)
    1 project | dev.to | 24 Jan 2024
    However, some models are publicly available. It’s the case for Mistral, a fast, and efficient French model which seems to outperform GPT4 on some tasks. And it is under Apache 2.0 license 😊.
  • How to Serve LLM Completions in Production
    1 project | dev.to | 18 Jan 2024
    I recommend starting either with llama2 or Mistral. You need to download the pretrained weights and convert them into GGUF format before they can be used with llama.cpp.
  • Stuff we figured out about AI in 2023
    5 projects | news.ycombinator.com | 1 Jan 2024
    > Instead, it turns out a few hundred lines of Python is genuinely enough to train a basic version!

    actually its not just a basic version. Llama 1/2's model.py is 500 lines: https://github.com/facebookresearch/llama/blob/main/llama/mo...

    Mistral (is rumored to have) forked llama and is 369 lines: https://github.com/mistralai/mistral-src/blob/main/mistral/m...

    and both of these are SOTA open source models.

  • How Open is Generative AI? Part 2
    8 projects | dev.to | 19 Dec 2023
    MistralAI, a French startup, developed a 7.3 billion parameter LLM named Mistral for various applications. Committed to open-sourcing its technology under Apache 2.0, the training dataset details for Mistral remain undisclosed. The Mistral Instruct model was fine-tuned using publicly available instruction datasets from the Hugging Face repository, though specifics about the licenses and potential constraints are not detailed. Recently, MistralAI released Mixtral 8x7B, a model based on the sparse mixture of experts (SMoE) architecture, consisting of several specialized models (likely eight, as suggested by its name) activated as needed.
  • Mistral website was just updated
    3 projects | /r/LocalLLaMA | 11 Dec 2023
  • Mistral AI – open-source models
    1 project | news.ycombinator.com | 8 Dec 2023
  • Mistral 8x7B 32k model [magnet]
    6 projects | news.ycombinator.com | 8 Dec 2023
  • Ask HN: Why the LLaMA code base is so short
    2 projects | news.ycombinator.com | 22 Nov 2023
    I was getting into LLM and I pick up some projects. I tried to dive into the code to see what is secret sauce.

    But the code is so short to the point there is nothing to really read.

    https://github.com/facebookresearch/llama

    I then proceed to check https://github.com/mistralai/mistral-src and suprsingly it's same.

    What is exactly those codebases? It feels like just download the models.

text-generation-webui-colab

Posts with mentions or reviews of text-generation-webui-colab. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-31.

What are some alternatives?

When comparing mistral-src and text-generation-webui-colab you can also consider the following projects:

ReAct - [ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

lida - Automatic Generation of Visualizations and Infographics using Large Language Models

Local-LLM-Langchain - Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.

ragas - Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

gpt-j-fine-tuning-example - Fine-tuning 6-Billion GPT-J (& other models) with LoRA and 8-bit compression

vllm - A high-throughput and memory-efficient inference and serving engine for LLMs

KoAlpaca - KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델

llama - Inference code for Llama models

koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI

chameleon-llm - Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

comfyui-colab - comfyui colabs templates new nodes