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Our collection of corelm models is expanding, and we need an automated system to download them efficiently. We can integrate smaller models, such as n/s (and possibly m, if it isn't too large), direct…
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- Advanced type of Language Model using Deep learning techniques using heavy text data.
- Capable of generating human like text. QnA, Text2Text
- Concepts like n-gram to Neural Networks are used. …
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Anything larger than 2.7B cooking? I'm itching to test the larger capacity and its scaling against the larger small LLMs of comparable size (or comparable resource use).
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- Paper name: Automatic Instruction Evolving for Large Language Models
- ArXiv Link: https://arxiv.org/pdf/2406.00770
To close this issue open a PR with a paper report using the provided [report…
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**Open Source**
Unfortunately most llama based and other free models fail to work with the tools defined by `langchain`. It works for single functions but already the current complexity of `langsim` …
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# 1. Ollama
## 1. use Ollama CLI:
```
ollama serve
ollama run llama2:7b, llama3, llama3:70b, mistral, dophin-phi, phi, neural-chat, codellama, llama2:13b, llama2:70b
ollama list
ollama show
…
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Statespace models are too slow in creation and method calls when A matrix order is ~1900. have attached two sets of matrices to reproduce the issue.
[ssm_a.zip](https://github.com/user-attachments/…
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Hi all,
I am wondering what is the preferred way to create a model that is too large to fit in a single device
As a reference starting point, if I use data parallelism, I will first create per-…
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I want to quantize the CodeQwen model using a custom dataset, but all sample lengths exceed 512. Why doesn't AWQ support sample with lengths longer than 512? Are there any alternative methods for quan…
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`---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[15], [line 2](vscode-notebook-cell:?e…