tiger
DeepSeek-Coder
tiger | DeepSeek-Coder | |
---|---|---|
3 | 8 | |
385 | 5,499 | |
- | 7.7% | |
9.0 | 8.6 | |
6 months ago | about 1 month ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
tiger
- FLaNK Stack Weekly for 13 November 2023
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TigerLab โ open-source LLM toolkit (RAG, FineTune, AI safety)
Introducing TigerLab - an Open Source LLM toolkit, providing solutions to a variety of LLM domains (RAG, finetune, search, AIsafety)
More about TigerLab: https://github.com/tigerlab-ai/tiger
You can also find more experiments on https://www.tigerlab.ai
DeepSeek-Coder
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Meta Llama 3
deepseek-coder-instruct 6.7B still looks like is better than llama 3 8B on HumanEval [0], and deepseek-coder-instruct 33B still within reach to run on 32 GB Macbook M2 Max - Lamma 3 70B on the other hand will be hard to run locally unless you really have 128GB ram or more. But we will see in the following days how it performs in real life.
[0] https://github.com/deepseek-ai/deepseek-coder?tab=readme-ov-...
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Mistral Remove "Committing to open models" from their website
Deepseek (https://github.com/deepseek-ai/DeepSeek-Coder?tab=readme-ov-...) code is MIT and the model license is available too.
- FLaNK Stack 05 Feb 2024
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Stable Code 3B: Coding on the Edge
https://github.com/deepseek-ai/deepseek-coder
33B Instruct doesnโt beat 6.7B Instruct by much but maybe those % improvements mean more for your usage.
I run 6.7B since I have 16GB RAM.
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What the heck is so great about this model?
Deepseek Coder: https://github.com/deepseek-ai/DeepSeek-Coder (Best open source coding model right now)
- Deepseek Coder instruct โ 6.7B model beats gpt3.5-turbo in coding
- FLaNK Stack Weekly for 13 November 2023
- DeepSeek-Coder: Has anyone tried this one?
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