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chore(model gallery): add menlo_jan-nano-128k (#5723)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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@@ -1256,6 +1256,29 @@
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- filename: DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q4_K_M-imat.gguf
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sha256: b40be91d3d2f2497efa849e69f0bb303956b54e658f57bc39c41dba424018d71
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uri: huggingface://Lewdiculous/DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-GGUF-IQ-Imatrix/DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q4_K_M-imat.gguf
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- !!merge <<: *qwen3
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name: "menlo_jan-nano-128k"
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icon: https://cdn-uploads.huggingface.co/production/uploads/65713d70f56f9538679e5a56/NP7CvcjOtLX8mST0t7eAM.png
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urls:
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- https://huggingface.co/Menlo/Jan-nano-128k
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- https://huggingface.co/bartowski/Menlo_Jan-nano-128k-GGUF
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description: |
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Jan-Nano-128k represents a significant advancement in compact language models for research applications. Building upon the success of Jan-Nano, this enhanced version features a native 128k context window that enables deeper, more comprehensive research capabilities without the performance degradation typically associated with context extension methods.
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Key Improvements:
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🔍 Research Deeper: Extended context allows for processing entire research papers, lengthy documents, and complex multi-turn conversations
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⚡ Native 128k Window: Built from the ground up to handle long contexts efficiently, maintaining performance across the full context range
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📈 Enhanced Performance: Unlike traditional context extension methods, Jan-Nano-128k shows improved performance with longer contexts
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This model maintains full compatibility with Model Context Protocol (MCP) servers while dramatically expanding the scope of research tasks it can handle in a single session.
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overrides:
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parameters:
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model: Menlo_Jan-nano-128k-Q4_K_M.gguf
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files:
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- filename: Menlo_Jan-nano-128k-Q4_K_M.gguf
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sha256: a864031a138288da427ca176afd61d7fe2b03fd19a84a656b2691aa1f7a12921
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uri: huggingface://bartowski/Menlo_Jan-nano-128k-GGUF/Menlo_Jan-nano-128k-Q4_K_M.gguf
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- &gemma3
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url: "github:mudler/LocalAI/gallery/gemma.yaml@master"
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name: "gemma-3-27b-it"
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