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chore(model gallery): add nvidia_llama-3.1-8b-ultralong-4m-instruct (#5177)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2025-04-14 12:30:55 +02:00 • committed by GitHub
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commit 1f94cddbae
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gallery/index.yaml
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@ -8150,6 +8150,21 @@
- filename: nvidia_Llama-3.1-8B-UltraLong-1M-Instruct-Q4_K_M.gguf
sha256: 22e59b0eff7fd7b77403027fb758f75ad41c78a4f56adc10ca39802c64fe97fa
uri: huggingface://bartowski/nvidia_Llama-3.1-8B-UltraLong-1M-Instruct-GGUF/nvidia_Llama-3.1-8B-UltraLong-1M-Instruct-Q4_K_M.gguf
- !!merge <<: *llama31
name: "nvidia_llama-3.1-8b-ultralong-4m-instruct"
icon: https://cdn-avatars.huggingface.co/v1/production/uploads/1613114437487-60262a8e0703121c822a80b6.png
urls:
- https://huggingface.co/nvidia/Llama-3.1-8B-UltraLong-4M-Instruct
- https://huggingface.co/bartowski/nvidia_Llama-3.1-8B-UltraLong-4M-Instruct-GGUF
description: |
We introduce UltraLong-8B, a series of ultra-long context language models designed to process extensive sequences of text (up to 1M, 2M, and 4M tokens) while maintaining competitive performance on standard benchmarks. Built on the Llama-3.1, UltraLong-8B leverages a systematic training recipe that combines efficient continued pretraining with instruction tuning to enhance long-context understanding and instruction-following capabilities. This approach enables our models to efficiently scale their context windows without sacrificing general performance.
overrides:
parameters:
model: nvidia_Llama-3.1-8B-UltraLong-4M-Instruct-Q4_K_M.gguf
files:
- filename: nvidia_Llama-3.1-8B-UltraLong-4M-Instruct-Q4_K_M.gguf
sha256: c503c77c6d8cc4be53ce7cddb756cb571862f0422594c17e58a75d7be9f00907
uri: huggingface://bartowski/nvidia_Llama-3.1-8B-UltraLong-4M-Instruct-GGUF/nvidia_Llama-3.1-8B-UltraLong-4M-Instruct-Q4_K_M.gguf
- !!merge <<: *llama33
name: "llama-3.3-magicalgirl-2.5-i1"
icon: https://cdn-uploads.huggingface.co/production/uploads/633e85093a17ab61de8d9073/FGK0qBGmELj6DEUxbbrdR.png