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models(gallery): add Codestral (#2442)
models(gallery): add Coderstral Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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@ -112,7 +112,8 @@ func CompletionEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, a
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if templateFile != "" {
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templatedInput, err := ml.EvaluateTemplateForPrompt(model.CompletionPromptTemplate, templateFile, model.PromptTemplateData{
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Input: predInput,
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Input: predInput,
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SystemPrompt: config.SystemPrompt,
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})
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if err == nil {
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predInput = templatedInput
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@ -1799,6 +1799,30 @@
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- filename: "codellama-7b.Q4_0.gguf"
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sha256: "33052f6dd41436db2f83bd48017b6fff8ce0184e15a8a227368b4230f1da97b5"
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uri: "huggingface://TheBloke/CodeLlama-7B-GGUF/codellama-7b.Q4_0.gguf"
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- !!merge <<: *codellama
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name: "codestral-22b-v0.1"
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license: mnpl
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description: |
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Codestral-22B-v0.1 is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash (more details in the Blogpost). The model can be queried:
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As instruct, for instance to answer any questions about a code snippet (write documentation, explain, factorize) or to generate code following specific indications
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As Fill in the Middle (FIM), to predict the middle tokens between a prefix and a suffix (very useful for software development add-ons like in VS Code)
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urls:
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- https://huggingface.co/mistralai/Codestral-22B-v0.1
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- https://huggingface.co/bartowski/Codestral-22B-v0.1-GGUF
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tags:
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- llm
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- gguf
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- gpu
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- code
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- cpu
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overrides:
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parameters:
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model: Codestral-22B-v0.1-Q4_K_M.gguf
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files:
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- filename: "Codestral-22B-v0.1-Q4_K_M.gguf"
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sha256: "defc9e0a1bb42857558d43df4e7f0f3d0a29d06a953e498e967d763f45d10431"
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uri: "huggingface://bartowski/Codestral-22B-v0.1-GGUF/Codestral-22B-v0.1-Q4_K_M.gguf"
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- &openvino
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### START OpenVINO
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url: "github:mudler/LocalAI/gallery/openvino.yaml@master"
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