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Releases: sozercan/aikit

v0.15.0

27 Nov 07:39
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v0.15.0
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v0.14.0

27 Sep 03:50
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v0.14.0
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v0.13.0

07 Sep 20:35
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v0.13.0
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v0.12.2

03 Aug 23:18
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v0.12.2
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v0.12.1

03 Aug 20:26
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v0.12.1
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v0.12.0

28 Jul 05:56
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v0.12.0
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v0.11.1

13 Jun 05:44
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v0.11.1
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v0.11.1

Notable Changes

  • 💪 Multi-platform images with ARM64 support! All pre-made models include both AMD64 and ARM64 platform support.
  • 📦 Support for models from OCI Artifacts. For example, use models from ollama by simply running:
docker buildx build -t my-model --load \
    --build-arg="model=oci://registry.ollama.ai/library/llama3:8b" \
    "https://raw.githubusercontent.com/sozercan/aikit/main/models/aikitfile.yaml"

docker run -d --rm -p 8080:8080 my-model

curl http://localhost:8080/v1/chat/completions \
    -H "Content-Type: application/json" \
    -d '{
        "model": "llama3",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ]
    }'
  • ⎈ Helm chart security hardening with restricted pod security admission

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v0.11.0

13 Jun 03:49
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v0.11.0
8f80515
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v0.11.0

Notable Changes

  • 💪 Multi-platform images with ARM64 support! All pre-made models include both AMD64 and ARM64 platform support.
  • 📦 Support for models from OCI Artifacts. For example, use models from ollama by simply running:
docker buildx build -t my-model --load \
    --build-arg="model=oci://registry.ollama.ai/library/llama3:8b" \
    "https://raw.githubusercontent.com/sozercan/aikit/main/models/aikitfile.yaml"

docker run -d --rm -p 8080:8080 my-model

curl http://localhost:8080/v1/chat/completions \
    -H "Content-Type: application/json" \
    -d '{
        "model": "llama3",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ]
    }'
  • ⎈ Helm chart security hardening with restricted pod security admission

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v0.10.0

06 Jun 11:11
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v0.10.0
0eb9597
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v0.10.0

Notable changes

⚡️ Quick start to create custom images using models from Hugging Face 🤗 without creating an aikitfile

Example:

docker buildx build -t my-model --load \
    --build-arg="model=huggingface://TheBloke/Llama-2-7B-Chat-GGUF/llama-2-7b-chat.Q4_K_M.gguf" \
    "https://raw.githubusercontent.com/sozercan/aikit/main/models/aikitfile.yaml"

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v0.9.0

30 May 21:53
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v0.9.0
36d6cd4
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v0.9.0

Notable Changes

  • 🕵️ Auto runtime detection: AIKit will now automatically check your CPU and GPU capabilities, and automatically choose the most optimized runtime. With this change, there is no differentiation for runtimes avx, avx2, and avx512. They can still be used to skip installing the cuda runtime libraries for slimmer images.
  • 💿 Pre-made models will now include CUDA libraries by default, and CUDA specific images will not be updated anymore. Thanks to auto runtime detection if a compatible GPU is not found, it will fallback to the most optimized CPU runtime.
  • ⎈ Helm chart for Kubernetes is now available!
  • 🚀 New pre-made models are now available: Gemma 1.1 2B Instruct and Codestral 22B.
  • ✨ Updated LocalAI to v2.16.0.
  • 🦥 Updated Unsloth to May 2024 release.

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