Anima
33B Chinese LLM, DPO QLORA, 100K context, AirLLM 70B inference with single 4GB GPU (by lyogavin)
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. (by ausboss)
| Anima | Local-LLM-Langchain | |
|---|---|---|
| 3 | 1 | |
| 2,881 | 207 | |
| - | - | |
| 9.1 | 6.4 | |
| 13 days ago | 10 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | - |
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.
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.
Anima
Posts with mentions or reviews of Anima.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-27.
- AirLLM
- AirLLM enables 8GB MacBook run 70B LLM
-
Fitting 70B models in a 4gb GPU, The whole model, no quants or distil or anything!
Found out about air_llm, https://github.com/lyogavin/Anima/tree/main/air_llm, where it loads one layer at a time, allow each layer to be 1.6GB for a 70b with 80 layers. theres about 30mb for kv cache, and i'm not sure where the rest goes.
Local-LLM-Langchain
Posts with mentions or reviews of Local-LLM-Langchain.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-17.
-
New AutoVicuna projects seems to be chugging along well
Which works, but produces nonsense 90% of the time for me. There's also that one notebook/colab for testing langchain but is above my abilities to use. And there's Auto-Vicuna of course, whose development however seems stalled
What are some alternatives?
When comparing Anima and Local-LLM-Langchain you can also consider the following projects:
FastLoRAChat - Instruct-tune LLaMA on consumer hardware with shareGPT data
text-generation-webui-colab - A colab gradio web UI for running Large Language Models
fin-llama - LLAMA specialized on finance
Auto-Vicuna
BELLE - BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）
ragas - Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
multi-lora-fine-tune - Provide Efficient LLM Fine-Tune via Multi-LoRA Optimization
KoAlpaca - KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델
hngpt - Collecting my favoritet Hacker News stories by LangChain
babyagi - LangChain + llamaCPP + babyAGI implementation
langchain-tutorials - Overview and tutorial of the LangChain Library
llama.py - Python bindings to llama.cpp
Anima vs FastLoRAChat
Local-LLM-Langchain vs text-generation-webui-colab
Anima vs fin-llama
Local-LLM-Langchain vs Auto-Vicuna
Anima vs BELLE
Local-LLM-Langchain vs ragas
Anima vs multi-lora-fine-tune
Local-LLM-Langchain vs KoAlpaca
Local-LLM-Langchain vs hngpt
Local-LLM-Langchain vs babyagi
Local-LLM-Langchain vs langchain-tutorials
Local-LLM-Langchain vs llama.py