mamba
mamba-chat
| mamba | mamba-chat | |
|---|---|---|
| 15 | 4 | |
| 9,506 | 823 | |
| 15.3% | 6.7% | |
| 8.1 | 7.6 | |
| 5 days ago | about 2 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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mamba
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Based: Simple linear attention language models
> how the recall can grow unbounded with no tradeoff
this? https://github.com/state-spaces/mamba/issues/175
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Mamba: The Easy Way
If you want to learn this stuff as a computer engineer, you can read the code here [0]. I find the math quite helpful.
[0]: https://github.com/state-spaces/mamba
- FLaNK Stack 05 Feb 2024
- Introduction to State Space Models (SSM)
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Fortran inference code for the Mamba state space language model
This model was discussed recently: https://news.ycombinator.com/item?id=38522428 It's a new kind of ML model architecture that can be used instead of a transformer in LLMs.
See also the original repo from the paper: https://github.com/state-spaces/mamba
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Mamba outperforms transformers "everywhere we tried"
[2] - https://github.com/state-spaces/mamba
Out of curiosity, does anyone feel as though there's any benefit to linking to reddit when we can link to whatever the link is? I for one do not click the link and read discussion on reddit - if I wanted that sort of discussion, I would browse there, not HN.
- GitHub – State-Spaces/Mamba
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Generate valid JSON with Mamba models
The library is compatible with any auto-regressive model, not transformers. To prove our point we integrated Mamba, a new state-space model architecture, to the library. Try it out!
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[D] Thoughts on Mamba?
I ran the NanoGPT of Karparthy replacing Self-Attention with Mamba on his TinyShakespeare Dataset and within 5 minutes it started spitting out the following:
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Mamba-Chat: A Chat LLM based on State Space Models
You might have come across the paper Mamba paper in the last days, which was the first attempt at scaling up state space models to 2.8B parameters to work on language data.
mamba-chat
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Integrate LLM Frameworks
Last but certainly not least, we'll demonstrate how to add a custom generation framework. For this example, we'll use the recently released mamba-chat model to build a RAG pipeline. You can read more about the model in this GitHub Repository
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An interactive demo for Mamba-Chat
Hey everyone! Yesterday, I posted about Mamba-Chat, a chat LLM based on a state space model architecture, and it sparked a lot of interest within the community.
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Mamba-Chat: A Chat LLM based on State Space Models
Feel free to check out our Github or Huggingface repository! Our Github repo includes a cli chat script, so you can easily run the model if you have access to a GPU.
- Show HN: Mamba-Chat – A Chat LLM Based on State Space Models
What are some alternatives?
miniforge - A conda-forge distribution.
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
pip - The Python package installer
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
llm.f90 - LLM inference in Fortran
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
causal-conv1d - Causal depthwise conv1d in CUDA, with a PyTorch interface
spack - A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
bert - TensorFlow code and pre-trained models for BERT
pyenv - Simple Python version management
quetz - The Open-Source Server for Conda Packages