chore(model gallery): add meta-llama_llama-4-scout-17b-16e-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:
@@ -470,6 +470,31 @@
     - filename: Tesslate_Synthia-S1-27b-Q4_K_M.gguf
       sha256: d953bf7f802dc68f85a35360deb24b9a8b446af051e82c77f2f0759065d2aa71
       uri: huggingface://bartowski/Tesslate_Synthia-S1-27b-GGUF/Tesslate_Synthia-S1-27b-Q4_K_M.gguf
+- &llama4
+  url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master"
+  icon: https://avatars.githubusercontent.com/u/153379578
+  license: llama4
+  tags:
+    - llm
+    - gguf
+    - gpu
+    - cpu
+    - llama3.3
+  name: "meta-llama_llama-4-scout-17b-16e-instruct"
+  urls:
+    - https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct
+    - https://huggingface.co/bartowski/meta-llama_Llama-4-Scout-17B-16E-Instruct-GGUF
+  description: |
+    The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding.
+
+    These Llama 4 models mark the beginning of a new era for the Llama ecosystem. We are launching two efficient models in the Llama 4 series, Llama 4 Scout, a 17 billion parameter model with 16 experts, and Llama 4 Maverick, a 17 billion parameter model with 128 experts.
+  overrides:
+    parameters:
+      model: meta-llama_Llama-4-Scout-17B-16E-Instruct-Q3_K_S.gguf
+  files:
+    - filename: meta-llama_Llama-4-Scout-17B-16E-Instruct-Q3_K_S.gguf
+      sha256: 48dfc18d40691b4190b7fecf1f89b78cadc758c3a27a9e2a1cabd686fdb822e3
+      uri: huggingface://bartowski/meta-llama_Llama-4-Scout-17B-16E-Instruct-GGUF/meta-llama_Llama-4-Scout-17B-16E-Instruct-Q3_K_S.gguf
 - &eurollm
   name: "eurollm-9b-instruct"
   icon: https://openeurollm.eu/_next/static/media/logo-dark.e7001867.svg
@@ -2605,7 +2630,7 @@
       sha256: 8a8e7a0fa1068755322c51900e53423d795e57976b4d95982242cbec41141c7b
       uri: huggingface://mradermacher/Eximius_Persona_5B-GGUF/Eximius_Persona_5B.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
@@ -4566,7 +4591,7 @@
       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:
@@ -5750,7 +5775,7 @@
       sha256: 86ccd640d72dcf3129fdd5b94381a733a684672b22487784e388b2ee9de57760
       uri: huggingface://mradermacher/Mensa-Beta-14B-Instruct-i1-GGUF/Mensa-Beta-14B-Instruct.i1-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
@@ -7911,7 +7936,7 @@
       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
@@ -7976,7 +8001,7 @@
       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: