mergekit
FLaNK-python-processors
| mergekit | FLaNK-python-processors | |
|---|---|---|
| 6 | 11 | |
| 3,521 | 4 | |
| 18.7% | - | |
| 9.2 | 7.1 | |
| 6 days ago | 24 days ago | |
| Python | Python | |
| GNU Lesser General Public License v3.0 only | Apache License 2.0 |
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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.
mergekit
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Language Models Are Super Mario: Absorbing Abilities from Homologous Models
For others like me who’d not heard of merging before, this seems to be one tool[0] (there may be others)
[0] https://github.com/arcee-ai/mergekit
- FLaNK AI Weekly 25 March 2025
- Tools for merging pretrained large language models
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Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
mergekit is the tool you need to do this
https://github.com/cg123/mergekit -
Iambe-RP-20b: An uncensored L2 Frankenstein model directly trained with RP-oriented cDPO
I actually asked the creator of mergekit a question here. In his response, I learned how to use task_arithmetic to isolate the deltas. One could, in theory, use WANDA on that model from the second example, then merge it back into another model. However, that's firmly past the frontier of what has been tried, so experimentation might be messy.
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LLMs cannot find reasoning errors, but can correct them
Ah, actually reviewing that more closely I found a link to it in the acknowledgements.
https://github.com/cg123/mergekit
FLaNK-python-processors
What are some alternatives?
Finetune_LLMs - Repo for fine-tuning Casual LLMs
grok-1 - Grok open release
xTuring - Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
lapdev - Self-Hosted Remote Dev Environment
LLMLingua - To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
CML_AMP-to-Airgapped - Download the AMP catalog for an offline (airgapped) deployment of the AMP catalog.
task_vectors - Editing Models with Task Arithmetic
spring-ai - An Application Framework for AI Engineering
difftastic - a structural diff that understands syntax 🟥🟩
DataDreamer - DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤
makeMoE - From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
doc-genius-ai - DocGenius AI - Generative AI Chatbot for your Documents - Powered by Cloudera Machine Learning (CML)