DeepSeek-Coder
TornadoVM
| DeepSeek-Coder | TornadoVM | |
|---|---|---|
| 8 | 22 | |
| 5,567 | 1,127 | |
| 8.9% | 2.8% | |
| 8.6 | 9.9 | |
| about 1 month ago | about 12 hours ago | |
| Python | Java | |
| MIT License | Apache License 2.0 |
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.
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 doesn’t 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 – 6.7B model beats gpt3.5-turbo in coding
- FLaNK Stack Weekly for 13 November 2023
- DeepSeek-Coder: Has anyone tried this one?
TornadoVM
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Intel Gaudi 3 AI Accelerator
You don't need to use C++ to interface with CUDA or even write it.
A while ago NVIDIA and the GraalVM team demoed grCUDA which makes it easy to share memory with CUDA kernels and invoke them from any managed language that runs on GraalVM (which includes JIT compiled Python). Because it's integrated with the compiler the invocation overhead is low:
https://developer.nvidia.com/blog/grcuda-a-polyglot-language...
And TornadoVM lets you write kernels in JVM langs that are compiled through to CUDA:
https://www.tornadovm.org
There are similar technologies for other languages/runtimes too. So I don't think that will cause NVIDIA to lose ground.
- Java VectorAPI compatiblity with TornadoVM GPU programming framework
- Java GPU pre/post processing with ONNX RT and TornadoVM
- FLaNK Stack 05 Feb 2024
- FLaNK 25 December 2023
- GPU Acceleration for Python, JavaScript, Ruby from Java with Truffle
- TornadoVM v1.0 Released
- TornadoVM 1.0
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From CPU to GPU and FPGAs: Supercharging Java Applications with TornadoVM [video]
Presented by Juan Fumero, PhD & Research Fellow (The University of Manchester, UK) during the JVM Language Summit 2023 (Santa Clara CA).
More information on TornadoVM can be found at https://www.tornadovm.org/
Tags: #Java #JVMLS #GPU #FPGA #OpenJDK #GraalVM #AI
What are some alternatives?
draw-a-ui - Draw a mockup and generate html for it
Aparapi - The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
FT-Merge-Quantize-Infer-CML
openapi4j - OpenAPI 3 parser, JSON schema and request validator.
cucim - cuCIM - RAPIDS GPU-accelerated image processing library
GraalVMREPL - REPL (read–eval–print loop) shell built on top of JavaFX and GraalVM stack, incorporating GraalJS, GraalPython, TruffleRuby and FastR
linen.dev - Lightweight Google-searchable Slack alternative for Communities
kattlo-cli - Kattlo CLI Project
wubloader
junodb - JunoDB is PayPal's home-grown secure, consistent and highly available key-value store providing low, single digit millisecond, latency at any scale.
clipea - 📎🟢 Like Clippy but for the CLI. A blazing fast AI helper for your command line
jr - JR: streaming quality random data from the command line