chore(model gallery): add nvidia_llama-3.1-8b-ultralong-1m-instruct

gallery/index.yaml

@@ -18,7 +18,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -36,7 +36,7 @@
   description: |
     google/gemma-3-12b-it is an open-source, state-of-the-art, lightweight, multimodal model built from the same research and technology used to create the Gemini models. It is capable of handling text and image input and generating text output. It has a large context window of 128K tokens and supports over 140 languages. The 12B variant has been fine-tuned using the instruction-tuning approach. Gemma 3 models are suitable for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes them deployable in environments with limited resources such as laptops, desktops, or your own cloud infrastructure.
   overrides:
     #mmproj: gemma-3-12b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-12b-it-Q4_K_M.gguf
   files:
@@ -54,7 +54,7 @@
   description: |
     Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. Gemma-3-4b-it is a 4 billion parameter model.
   overrides:
     #mmproj: gemma-3-4b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-4b-it-Q4_K_M.gguf
   files:
@@ -2689,7 +2689,7 @@
       sha256: 726a0ef5f818b8d238f2844f3204848bea66fb9c172b8ae0f6dc51b7bc081dd5
       uri: huggingface://bartowski/deepcogito_cogito-v1-preview-llama-3B-GGUF/deepcogito_cogito-v1-preview-llama-3B-Q4_K_M.gguf
 - &qwen25
   name: "qwen2.5-14b-instruct" ## Qwen2.5
   icon: https://avatars.githubusercontent.com/u/141221163
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master"
   license: apache-2.0
@@ -4650,7 +4650,7 @@
       sha256: 0fec82625f74a9a340837de7af287b1d9042e5aeb70cda2621426db99958b0af
       uri: huggingface://bartowski/Chuluun-Qwen2.5-72B-v0.08-GGUF/Chuluun-Qwen2.5-72B-v0.08-Q4_K_M.gguf
 - &smollm
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master" ## SmolLM
   name: "smollm-1.7b-instruct"
   icon: https://huggingface.co/datasets/HuggingFaceTB/images/resolve/main/banner_smol.png
   tags:
@@ -5941,7 +5941,7 @@
       sha256: 3fda6cf318a9082ef7b502c4384ee3ea5f9f9f44268b852a2e46d71bcea29d5a
       uri: huggingface://mradermacher/Mag-Picaro-72B-GGUF/Mag-Picaro-72B.Q4_K_M.gguf
 - &llama31
   url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master" ## LLama3.1
   icon: https://avatars.githubusercontent.com/u/153379578
   name: "meta-llama-3.1-8b-instruct"
   license: llama3.1
@@ -8135,6 +8135,21 @@
     - filename: Hamanasu-Magnum-4B.i1-Q4_K_M.gguf
       sha256: 7eb6d1bfda7c0a5bf62de754323cf59f14ddd394550a5893b7bd086fd1906361
       uri: huggingface://mradermacher/Hamanasu-Magnum-4B-i1-GGUF/Hamanasu-Magnum-4B.i1-Q4_K_M.gguf
+- !!merge <<: *llama31
+  name: "nvidia_llama-3.1-8b-ultralong-1m-instruct"
+  icon: https://cdn-avatars.huggingface.co/v1/production/uploads/1613114437487-60262a8e0703121c822a80b6.png
+  urls:
+    - https://huggingface.co/nvidia/Llama-3.1-8B-UltraLong-1M-Instruct
+    - https://huggingface.co/bartowski/nvidia_Llama-3.1-8B-UltraLong-1M-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-1M-Instruct-Q4_K_M.gguf
+  files:
+    - 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 <<: *llama33
   name: "llama-3.3-magicalgirl-2.5-i1"
   icon: https://cdn-uploads.huggingface.co/production/uploads/633e85093a17ab61de8d9073/FGK0qBGmELj6DEUxbbrdR.png