chore(model gallery): add nvidia_llama-3_3-nemotron-super-49b-v1

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:
@@ -1056,6 +1056,25 @@
     - filename: ReadyArt_Forgotten-Safeword-70B-3.6-Q4_K_M.gguf
       sha256: bd3a082638212064899db1afe29bf4c54104216e662ac6cc76722a21bf91967e
       uri: huggingface://bartowski/ReadyArt_Forgotten-Safeword-70B-3.6-GGUF/ReadyArt_Forgotten-Safeword-70B-3.6-Q4_K_M.gguf
+- !!merge <<: *llama33
+  name: "nvidia_llama-3_3-nemotron-super-49b-v1"
+  icon: https://cdn-avatars.huggingface.co/v1/production/uploads/1613114437487-60262a8e0703121c822a80b6.png
+  urls:
+    - https://huggingface.co/nvidia/Llama-3_3-Nemotron-Super-49B-v1
+    - https://huggingface.co/bartowski/nvidia_Llama-3_3-Nemotron-Super-49B-v1-GGUF
+  description: |
+    Llama-3.3-Nemotron-Super-49B-v1 is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct (AKA the reference model). It is a reasoning model that is post trained for reasoning, human chat preferences, and tasks, such as RAG and tool calling. The model supports a context length of 128K tokens.
+
+    Llama-3.3-Nemotron-Super-49B-v1 is a model which offers a great tradeoff between model accuracy and efficiency. Efficiency (throughput) directly translates to savings. Using a novel Neural Architecture Search (NAS) approach, we greatly reduce the model’s memory footprint, enabling larger workloads, as well as fitting the model on a single GPU at high workloads (H200). This NAS approach enables the selection of a desired point in the accuracy-efficiency tradeoff.
+
+    The model underwent a multi-phase post-training process to enhance both its reasoning and non-reasoning capabilities. This includes a supervised fine-tuning stage for Math, Code, Reasoning, and Tool Calling as well as multiple reinforcement learning (RL) stages using REINFORCE (RLOO) and Online Reward-aware Preference Optimization (RPO) algorithms for both chat and instruction-following. The final model checkpoint is obtained after merging the final SFT and Online RPO checkpoints. For more details on how the model was trained, please see this blog.
+  overrides:
+    parameters:
+      model: nvidia_Llama-3_3-Nemotron-Super-49B-v1-Q4_K_M.gguf
+  files:
+    - filename: nvidia_Llama-3_3-Nemotron-Super-49B-v1-Q4_K_M.gguf
+      sha256: d3fc12f4480cad5060f183d6c186ca47d800509224632bb22e15791711950524
+      uri: huggingface://bartowski/nvidia_Llama-3_3-Nemotron-Super-49B-v1-GGUF/nvidia_Llama-3_3-Nemotron-Super-49B-v1-Q4_K_M.gguf
 - &rwkv
   url: "github:mudler/LocalAI/gallery/rwkv.yaml@master"
   name: "rwkv-6-world-7b"
@@ -2114,7 +2133,7 @@
       sha256: 73d9a588383946dcac545a097c47d634558afd79ea43aac3a4563c311d89f195
       uri: huggingface://bartowski/NousResearch_DeepHermes-3-Llama-3-3B-Preview-GGUF/NousResearch_DeepHermes-3-Llama-3-3B-Preview-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
@@ -4075,7 +4094,7 @@
       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:
@@ -4830,7 +4849,7 @@
       sha256: 57a41ed2fc0d62847cf85ff20cc71be9c5978d22a56e39f2390c6563e5b0c931
       uri: huggingface://bartowski/prithivMLmods_Viper-Coder-32B-Elite13-GGUF/prithivMLmods_Viper-Coder-32B-Elite13-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
@@ -6961,7 +6980,7 @@
       sha256: 25db6d4ae5649e6d2084036d8f05ec1aca459126e2d4734d6c18f1e16147a4d3
       uri: huggingface://mradermacher/Llama-3.3-MagicalGirl-2.5-i1-GGUF/Llama-3.3-MagicalGirl-2.5.i1-Q4_K_M.gguf
 - &deepseek
   url: "github:mudler/LocalAI/gallery/deepseek.yaml@master" ## Deepseek
   name: "deepseek-coder-v2-lite-instruct"
   icon: "https://avatars.githubusercontent.com/u/148330874"
   license: deepseek
@@ -7026,7 +7045,7 @@
       sha256: a47782c55ef2b39b19644213720a599d9849511a73c9ebb0c1de749383c0a0f8
       uri: huggingface://RichardErkhov/ContextualAI_-_archangel_sft_pythia2-8b-gguf/archangel_sft_pythia2-8b.Q4_K_M.gguf
 - &deepseek-r1
   url: "github:mudler/LocalAI/gallery/deepseek-r1.yaml@master" ## Start DeepSeek-R1
   name: "deepseek-r1-distill-qwen-1.5b"
   icon: "https://avatars.githubusercontent.com/u/148330874"
   urls:
@@ -7358,7 +7377,7 @@
       sha256: 889455f0c747f2c444818c68169384d3da4830156d2a19906d7d6adf48b243df
       uri: huggingface://bartowski/TheDrummer_Fallen-Llama-3.3-R1-70B-v1-GGUF/TheDrummer_Fallen-Llama-3.3-R1-70B-v1-Q4_K_M.gguf
 - &qwen2
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master" ## Start QWEN2
   name: "qwen2-7b-instruct"
   icon: https://avatars.githubusercontent.com/u/141221163
   license: apache-2.0
@@ -7759,7 +7778,7 @@
       sha256: dbffc989d12d42ef8e4a2994e102d7ec7a02c49ec08ea2e35426372ad07b4cd8
       uri: huggingface://bartowski/TAID-LLM-1.5B-GGUF/TAID-LLM-1.5B-Q4_K_M.gguf
 - &mistral03
   url: "github:mudler/LocalAI/gallery/mistral-0.3.yaml@master" ## START Mistral
   name: "mistral-7b-instruct-v0.3"
   icon: https://cdn-avatars.huggingface.co/v1/production/uploads/62dac1c7a8ead43d20e3e17a/wrLf5yaGC6ng4XME70w6Z.png
   license: apache-2.0