chore(model gallery): add mistralai_magistral-small-2506

gallery/index.yaml

@@ -1065,7 +1065,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -1083,7 +1083,7 @@
   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:
@@ -1101,7 +1101,7 @@
   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:
@@ -4193,7 +4193,7 @@
       sha256: b34dde1835752949d6b960528269af93c92fec91c61ea0534fcc73f96c1ed8b2
       uri: https://huggingface.co/ggml-org/ultravox-v0_5-llama-3_2-1b-GGUF/resolve/main/mmproj-ultravox-v0_5-llama-3_2-1b-f16.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
@@ -6154,7 +6154,7 @@
       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:
@@ -7907,7 +7907,7 @@
       sha256: 73b8f44c3b11c3ec63e4c4ddbb262679c8f681511d84940c4c990814aa0bafc0
       uri: huggingface://bartowski/open-thoughts_OpenThinker3-7B-GGUF/open-thoughts_OpenThinker3-7B-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
@@ -12464,6 +12464,31 @@
     - filename: MS-24B-Mullein-v0.Q4_K_M.gguf
       sha256: ef30561f1f7a9057b58e6f1b7c8a5da461bb320216232edf3916c1c02cb50e34
       uri: huggingface://mradermacher/MS-24B-Mullein-v0-GGUF/MS-24B-Mullein-v0.Q4_K_M.gguf
+- !!merge <<: *mistral03
+  name: "mistralai_magistral-small-2506"
+  icon: https://cdn-avatars.huggingface.co/v1/production/uploads/634c17653d11eaedd88b314d/9OgyfKstSZtbmsmuG8MbU.png
+  urls:
+    - https://huggingface.co/mistralai/Magistral-Small-2506
+    - https://huggingface.co/bartowski/mistralai_Magistral-Small-2506-GGUF
+  description: |
+    Building upon Mistral Small 3.1 (2503), with added reasoning capabilities, undergoing SFT from Magistral Medium traces and RL on top, it's a small, efficient reasoning model with 24B parameters.
+
+    Magistral Small can be deployed locally, fitting within a single RTX 4090 or a 32GB RAM MacBook once quantized.
+
+    Learn more about Magistral in our blog post.
+    Key Features
+
+        Reasoning: Capable of long chains of reasoning traces before providing an answer.
+        Multilingual: Supports dozens of languages, including English, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Malay, Nepali, Polish, Portuguese, Romanian, Russian, Serbian, Spanish, Swedish, Turkish, Ukrainian, Vietnamese, Arabic, Bengali, Chinese, and Farsi.
+        Apache 2.0 License: Open license allowing usage and modification for both commercial and non-commercial purposes.
+        Context Window: A 128k context window, but performance might degrade past 40k. Hence we recommend setting the maximum model length to 40k.
+  overrides:
+    parameters:
+      model: mistralai_Magistral-Small-2506-Q4_K_M.gguf
+  files:
+    - filename: mistralai_Magistral-Small-2506-Q4_K_M.gguf
+      sha256: b681b81ba30238b7654db77b4b3afa7b0f6226c84d8bbd5a5dfb1a5a3cb95816
+      uri: huggingface://bartowski/mistralai_Magistral-Small-2506-GGUF/mistralai_Magistral-Small-2506-Q4_K_M.gguf
 - &mudler
   url: "github:mudler/LocalAI/gallery/mudler.yaml@master" ### START mudler's LocalAI specific-models
   name: "LocalAI-llama3-8b-function-call-v0.2"