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Small is a compact, 10-billion-parameter open-weight reasoning LLM designed for high-volume, cost-sensitive use cases. It sets a new standard on the accuracy-efficiency frontier — matching the reasoning quality of peers while spending a fraction of the tokens — bringing serious reasoning capability within reach of enterprises that need to run AI on infrastructure they control. By powering agentic workflows, tool-calling pipelines, and fine-tuned domain applications that fit on a single GPU, Domyn Small enables organizations to deploy AI at scale with the efficiency, sovereignty, and control that regulated industries demand.\n\n\nDomyn Small is a dual-mode reasoning model with a 32K native context window (extensible to 128K), first-class tool calling, and open weights under the MIT license. With reasoning on it performs extended multi-step reasoning for complex coding, mathematics, and tool-use tasks; with reasoning off it produces faster, more compact answers when depth is unnecessary. Its defining result is token efficiency: against peer models in the 7-10B class it achieves comparable reasoning accuracy while spending roughly 2-4x fewer reasoning tokens, which translates directly into lower inference cost and latency. The model supports 50+ languages — with particular strength in English and the major European languages (Italian, Spanish, French, German) — was trained on European HPC infrastructure (the CINECA Leonardo supercomputer), and is released under the EU AI Act, part of a broader effort to build sovereign-EU AI for regulated industries.\n","labels",[288,289,290],"default","latest","invisibleLatest","modelCapabilities","deploymentTypes","license","MIT","inferenceTasks",[434],"fineTuningTasks","fineTuningMethods","inferenceComputeAllowed",[421,422],"fineTuneComputeAllowed","evaluationComputeAllowed","languages",[429,430,431,432,433],"summary","A 10B-parameter open-weight reasoning model that delivers the best accuracy-efficiency balance in the 7-10B class, with dual-mode (thinking on/off) inference, tool calling, and a 32K native context window extensible to 128K.","displayName","Domyn Small","textContextWindow","maxOutputTokens","maxInputTokens","inputModalities",[428],"outputModalities",[428],"playgroundRateLimitTier","azureOffers",[426,427],"inferenceRetirementDate","finetuneDeprecationDate","finetuneRetirementDate","inferenceDeprecationDate","inferenceLegacyDate","longContextRetirementDate","enableMaap","enableBatch","maasInference","maasFineTuning","featured","preview","benchmark",[423,424,425],"industry","financial-services","keywords","licenseDescription","Domyn\n\nCopyright (c) 2025, iGenius S.p.A.\n\nMIT License\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of Domyn Small and the associated documentation files, to use Domyn Small without any restrictions or limitations – including the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of Domyn Small – and to permit anyone who receives Domyn Small to use it in the same way, provided they meet the following conditions: \nThe above copyright and permission notices shall be included in all copies or substantial portions of Domyn Small.\nThe model is provided “as is”, without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose, and non-infringement. In no event shall the authors or copyright holders be liable for any claim, damages, or other liability, whether in an action of contract, tort, or otherwise, arising from, out of, or in connection with the Software or the use or other dealings in the Software.\n\nhttps://www.domyn.com/legal/software-licenses/domyn-small","trainingDataDate","September 2024","evaluation","Domyn Small is evaluated against four peer models drawn from the 7-10B parameter class: Qwen3.5-9B, OLMo-3-7B-Think, Llama-3.1-Nemotron-Nano-8B, and Ministral-3-8B-Reasoning. All benchmarks are reported with thinking on and provider-recommended sampling parameters. Domyn Small's sequence length was 32,768 tokens for every benchmark except RULER, which was extended to 131,072 (128K) tokens via YaRN. Math benchmarks use avg@48 sampling. All scores are percentages (%); bold denotes best in row.\n\n## Capability Snapshot\n\n| Category | Benchmark | Domyn Small | Qwen3.5-9B | OLMo-3-7B | Nem. Nano | Ministral-3-8B |\n|--|--|--|--|--|--|--|\n| Reasoning | MATH-500 | 93.2 | **97.4** | 96.8 | 95.4 | 89.2 |\n| | AIME 2025 (avg@48) | 35.7 | **90.0** | 70.4 | 51.2 | 32.3 |\n| | GPQA-Diamond | 50.0 | **82.7** | 50.8 | 42.4 | 43.9 |\n| Code | HumanEval (pass@1) | **96.3** | 93.3 | 95.7 | 91.5 | 86.6 |\n| | LiveCodeBench (pass@1) | 55.0 | **86.2** | 74.8 | 67.2 | 46.0 |\n| | MBPP (pass@1) | 76.8 | 76.8 | **86.6** | 77.6 | 66.6 |\n| General Knowledge | MMLU | 80.3 | **84.6** | 75.2 | 56.0 | 75.3 |\n| | MMLU-PRO | 67.7 | **84.4** | 64.0 | 28.8 | 62.0 |\n| Instruction Following | IFEval (strict) | 79.9 | **91.0** | 83.7 | 70.4 | 62.5 |\n| Multilingual | MGSM | 73.1 | **88.9** | 64.0 | 19.9 | 75.5 |\n| Long Context | RULER 32k | 59.5 | **89.8** | 69.8 | 34.0 | 88.7 |\n| | RULER 64k | 29.6 | **87.9** | 17.2 | 18.7 | 85.9 |\n| Tool Calling | BFCL V3 Non-Live | 75.9 | **78.1** | 61.1 | 63.3 | – |\n| | BFCL V3 Live | 68.3 | **78.4** | 66.9 | 40.2 | – |\n| | BFCL V3 Multi-Turn | 7.0 | **50.6** | 2.1 | 0.1 | – |\n\n## Token Efficiency\n\nDomyn Small's most distinctive result is its position on the accuracy / token-budget Pareto frontier. The table below reports the mean number of generated tokens per problem (thinking on); lower values indicate lower per-query inference cost. Grand means weight each benchmark by its problem count.\n\n| Category | Benchmark | Domyn Small | Qwen3.5-9B |\n|--|--|--|--|\n| Reasoning | MA","notes","## Intended Use\n\n### Primary Use Cases\n\nDomyn Small is intended for commercial and research use in multiple languages. It is a reasoning-first, token-efficient model for agentic AI scenarios, combining reliable instruction following, robust tool and function calling, and strong multilingual coverage (50+ languages). It offers explicit reasoning control via the system prompt: \"thinking on\" invokes step-by-step structured reasoning for complex tasks such as code, math, long-context analysis, and grounded RAG, while \"thinking off\" produces concise direct answers for lower latency when depth is unnecessary. Primary use cases include:\n\n- *Regulated-industry use cases in resource-constrained environments that need reduced computational cost and faster response times in production. Domyn Small serves on a single GPU and spends roughly 2-4x fewer reasoning tokens than peer 7-10B models at comparable accuracy.*\n- *Fine-tuning to any desired domain knowledge across industries, to equip the model with the context and expertise needed to excel on real-world applications.*\n- *Agentic applications, especially agents that need to solve coding and mathematical problems and perform sequential, tool-calling tasks.*\n\nWith a 32K native context window (extensible to 128K via YaRN) it handles long documents, integrates smoothly with retrieval pipelines, and maintains grounded, context-aware outputs, letting developers balance precision versus speed in production workflows.\n\n\n### Out-of-Scope Use Cases\n\nOur models are not specifically designed or evaluated for all downstream purposes.\nAs with any language model, developers should carefully evaluate accuracy, safety, and fairness before applying it to specific downstream scenarios, particularly those that may be high-risk. They should also ensure compliance with all applicable laws and regulations (including, but not limited to, privacy and trade compliance) that are relevant to their use case.\n\n\n## Responsible AI Considerations\n\n*Like oth","modelArchitecture","modelPath","aotManifest","hasDeltaWeights","author","baseModelWeightsVer","evaluationMinSkuSpec","evaluationRecommendedSkus","finetuneMinSkuSpec","finetuneRecommendedSkus","inferenceMinSkuSpec","inferenceRecommendedSkus",[421,422],"sharedComputeCapacityEnabled","freePlayground","inferenceSupportedEnvs","isDirectFromAzure","inferenceEnvironmentAssetId","maasFinetuningTest","maasFinetuningDeployRegions","maasFinetuningOffer","maasFinetuningAvailableRegions","featureFlags","architecture","parameterCount","terms","softwareRequirements","trademarkInformation","contactInformation","reportingMechanisms","trainingApproach","trainingDataSummary","trainingCorpusSize","trainingCompute","trainingTime","trainingDates","modalitiesSupported","endpointsSupported","featuresSupported","toolsSupported","hostedOn","domain","hiddenLayerScanned","maapSurcharge","maapSurchargeType","model","isCustomerInfoRequired","fineTuneOnlyModel","modelFlavor","lifecycle","deploymentOptions",[420],"deploymentSku","deploymentOptionDetails","deploymentSkuNames","deploymentSkuLocations","rateLimitLink","pricingLink","supportedRegionsLink","languagesSupportedLink","foundryLocal","huggingFaceModelId","directoryPath","alias","promptTemplate","parameterSchema","supportsToolCalling","toolCallStart","toolCallEnd","toolRegisterStart","toolRegisterEnd","toolResponseStart","toolResponseEnd","skuToNumReplicasMap","openmmlabModelId","mlflowFlavor","MaaP","Standard_NC24ads_A100_v4","Standard_NC40ads_H100_v5","Publicly available sources","dolma","wikipedia","VM","VM-withSurcharge","text","en","it","fr","es","de","chat-completion","AzureOffers","VM,VM-withSurcharge","maap-surcharge","maap-surcharge-type","VM, VM-withSurcharge","Featured","disable-batch","disable-maap","false","Publicly available sources,dolma,wikipedia","task","en,it,fr,es,de","inference_compute_allow_list","[\n \"Standard_NC24ads_A100_v4\",\n \"Standard_NC40ads_H100_v5\"\n]","06/17/2026 14:00:00","Domyn Small is evaluated against four peer models drawn from the 7-10B parameter class: Qwen3.5-9B, OLMo-3-7B-Think, Llama-3.1-Nemotron-Nano-8B, and Ministral-3-8B-Reasoning. All benchmarks are reported with thinking on and provider-recommended sampling parameters. Domyn Small's sequence length was 32,768 tokens for every benchmark except RULER, which was extended to 131,072 (128K) tokens via YaRN. Math benchmarks use avg@48 sampling. All scores are percentages (%); bold denotes best in row.\n\n## Capability Snapshot\n\n| Category | Benchmark | Domyn Small | Qwen3.5-9B | OLMo-3-7B | Nem. Nano | Ministral-3-8B |\n|--|--|--|--|--|--|--|\n| Reasoning | MATH-500 | 93.2 | **97.4** | 96.8 | 95.4 | 89.2 |\n| | AIME 2025 (avg@48) | 35.7 | **90.0** | 70.4 | 51.2 | 32.3 |\n| | GPQA-Diamond | 50.0 | **82.7** | 50.8 | 42.4 | 43.9 |\n| Code | HumanEval (pass@1) | **96.3** | 93.3 | 95.7 | 91.5 | 86.6 |\n| | LiveCodeBench (pass@1) | 55.0 | **86.2** | 74.8 | 67.2 | 46.0 |\n| | MBPP (pass@1) | 76.8 | 76.8 | **86.6** | 77.6 | 66.6 |\n| General Knowledge | MMLU | 80.3 | **84.6** | 75.2 | 56.0 | 75.3 |\n| | MMLU-PRO | 67.7 | **84.4** | 64.0 | 28.8 | 62.0 |\n| Instruction Following | IFEval (strict) | 79.9 | **91.0** | 83.7 | 70.4 | 62.5 |\n| Multilingual | MGSM | 73.1 | **88.9** | 64.0 | 19.9 | 75.5 |\n| Long Context | RULER 32k | 59.5 | **89.8** | 69.8 | 34.0 | 88.7 |\n| | RULER 64k | 29.6 | **87.9** | 17.2 | 18.7 | 85.9 |\n| Tool Calling | BFCL V3 Non-Live | 75.9 | **78.1** | 61.1 | 63.3 | – |\n| | BFCL V3 Live | 68.3 | **78.4** | 66.9 | 40.2 | – |\n| | BFCL V3 Multi-Turn | 7.0 | **50.6** | 2.1 | 0.1 | – |\n\n## Token Efficiency\n\nDomyn Small's most distinctive result is its position on the accuracy / token-budget Pareto frontier. The table below reports the mean number of generated tokens per problem (thinking on); lower values indicate lower per-query inference cost. Grand means weight each benchmark by its problem count.\n\n| Category | Benchmark | Domyn Small | Qwen3.5-9B |\n|--|--|--|--|\n| Reasoning | MATH-500 | 2,261 | 7,614 |\n| | AIME 2025 | 5,190 | 18,668 |\n| | GPQA-Diamond | 3,396 | 8,976 |\n| | **Reasoning grand mean** | **2,690** | 8,440 |\n| Code | HumanEval | 1,884 | 1,144 |\n| | LiveCodeBench | 5,010 | 12,739 |\n| | MBPP | 2,420 | 1,927 |\n| | **Code grand mean** | **3,312** | 5,870 |\n| General Knowledge | MMLU | 1,236 | 3,262 |\n| | MMLU-PRO | 2,947 | 4,666 |\n| | **GK grand mean** | **2,026** | 3,910 |\n| Instruction Following | IFEval | 775 | 3,874 |\n| Multilingual | MGSM | 796 | 3,140 |\n\nOn the reasoning suite, Domyn Small's weighted grand mean of 2,690 tokens per problem is approximately 32% of Qwen3.5-9B's 8,440 — a 3.1x token saving — at comparable accuracy on several benchmarks.\n\n## Effect of the Reasoning Toggle\n\nThe thinking-on / thinking-off toggle yields the largest gains on code generation and multi-step science reasoning. Thinking-off values are measured on the released checkpoint with the same evaluation harness.\n\n| Benchmark | Thinking off | Thinking on | Δ |\n|--|--|--|--|\n| MATH-500 | 91.4 | 93.2 | +1.8 |\n| AIME 2025 | 31.0 | 35.7 | +4.7 |\n| LiveCodeBench | 33.8 | 55.0 | +21.2 |\n| MBPP | 54.6 | 76.8 | +22.2 |\n| HumanEval | 69.5 | 96.3 | +26.8 |\n| GPQA-Diamond | 40.0 | 50.0 | +10.0 |\n| MMLU-PRO | 60.0 | 67.7 | +7.7 |\n| MGSM | 59.7 | 73.1 | +13.4 |\n| IFEval (prompt strict) | 78.6 | 79.9 | +1.3 |\n","## Intended Use\n\n### Primary Use Cases\n\nDomyn Small is intended for commercial and research use in multiple languages. It is a reasoning-first, token-efficient model for agentic AI scenarios, combining reliable instruction following, robust tool and function calling, and strong multilingual coverage (50+ languages). It offers explicit reasoning control via the system prompt: \"thinking on\" invokes step-by-step structured reasoning for complex tasks such as code, math, long-context analysis, and grounded RAG, while \"thinking off\" produces concise direct answers for lower latency when depth is unnecessary. Primary use cases include:\n\n- *Regulated-industry use cases in resource-constrained environments that need reduced computational cost and faster response times in production. Domyn Small serves on a single GPU and spends roughly 2-4x fewer reasoning tokens than peer 7-10B models at comparable accuracy.*\n- *Fine-tuning to any desired domain knowledge across industries, to equip the model with the context and expertise needed to excel on real-world applications.*\n- *Agentic applications, especially agents that need to solve coding and mathematical problems and perform sequential, tool-calling tasks.*\n\nWith a 32K native context window (extensible to 128K via YaRN) it handles long documents, integrates smoothly with retrieval pipelines, and maintains grounded, context-aware outputs, letting developers balance precision versus speed in production workflows.\n\n\n### Out-of-Scope Use Cases\n\nOur models are not specifically designed or evaluated for all downstream purposes.\nAs with any language model, developers should carefully evaluate accuracy, safety, and fairness before applying it to specific downstream scenarios, particularly those that may be high-risk. They should also ensure compliance with all applicable laws and regulations (including, but not limited to, privacy and trade compliance) that are relevant to their use case.\n\n\n## Responsible AI Considerations\n\n*Like other language models, Domyn Small can potentially behave in ways that are unfair, unreliable, or offensive. Some of the limiting behaviors to be aware of include:*\n\n- *Representation of Harms & Perpetuation of Stereotypes: These models can over- or under-represent groups of people, erase representation of some groups, or reinforce demeaning or negative stereotypes. Despite safety post-training, these limitations may still be present due to differing levels of representation of different groups, cultural contexts, or prevalence of examples of negative stereotypes in training data that reflect real-world patterns and societal biases.*\n- *Inappropriate or Offensive Content: These models may produce other types of inappropriate or offensive content, which may make it inappropriate to deploy for sensitive contexts without additional mitigations that are specific to the use case.*\n- *Information Reliability: Language models can generate nonsensical content or fabricate content that might sound reasonable but is inaccurate or outdated.*\n- *Limited Scope for Code: The majority of Domyn Small's code training data is in Python and C++. If the model generates scripts that utilize other packages or other programming languages, we strongly recommend users manually verify all API uses.*\n- *Long Context and Multi-Turn: Domyn Small's native context window is 32K tokens (extensible to 128K via YaRN); long-context retrieval beyond 32K and multi-turn tool-use trajectories are the model's identified weak points. Developers are encouraged to place appropriate mitigations, like limiting conversation turns and keeping retrieval context within the native window, to account for possible drift in very long sessions.*\n\n*Developers should adopt responsible AI best practices, including identifying, assessing, and mitigating risks specific to their use case and cultural or linguistic context. While Domyn Small is a general-purpose model, developers are encouraged to fine-tune it for their specific applications and integrate it into broader AI systems with appropriate language-specific safeguards. Key considerations include:*\n\n*Recommended Mitigations*\n\n- *Audit & Monitoring: Use third-party safety tools (e.g., Azure AI Content Safety) to detect and filter harmful or unsafe outputs.*\n- *Transparency: Clearly inform users when they are interacting with an AI system, and incorporate feedback loops for continual improvement.*\n- *RAG Integration: Improve factuality and domain relevance through Retrieval-Augmented Generation (RAG).*\n- *Immutable Logging: For sovereign or customized use, embed audit logging at the architectural level to ensure traceability and prevent tampering.*\n- *High-Stakes Applications: Avoid deploying the model in sensitive scenarios (e.g., healthcare, legal advice, credit scoring) without extensive validation and safeguards.*\n\n## Reasoning Control\n\n*This model supports reasoning control, either through a system-prompt directive or through the `enable_thinking` chat-template parameter:*\n\n- Use `\"thinking on\"` in the system prompt (or `enable_thinking=True`) to enable reasoning mode.\n- Use `\"thinking off\"` (or `enable_thinking=False`) to disable reasoning mode.\n\n### Example Usage\n\n#### Enable Reasoning Mode\n```json\n[\n { \"role\": \"system\", \"content\": \"My system prompt.\\n\\nthinking on\" },\n { \"role\": \"user\", \"content\": \"My question\" }\n]\n```\n\n#### Disable Reasoning Mode\n```json\n[\n { \"role\": \"system\", \"content\": \"My system prompt.\\n\\nthinking off\" },\n { \"role\": \"user\", \"content\": \"My question\" }\n]\n```\n\n#### Default Reasoning Mode\n```json\n[\n { \"role\": \"system\", \"content\": \"My system prompt\" },\n { \"role\": \"user\", \"content\": \"My question\" }\n]\n```\nIf the system prompt does not explicitly specify a reasoning mode, the chat template defaults to `\"thinking off\"`. When reasoning is enabled, the model emits its reasoning inside `...` tags before the final answer.\n\n#### Setting the mode programmatically with `enable_thinking`\n\nRather than editing the system prompt, you can toggle reasoning directly through the chat template's `enable_thinking` flag. With an OpenAI-compatible client, pass it via `extra_body.chat_template_kwargs`:\n\n```python\nresponse = client.chat.completions.create(\n model=\"domyn/Domyn-Small-v1.0\",\n messages=[\n {\"role\": \"user\", \"content\": \"Solve step by step: what is 17 × 24?\"},\n ],\n extra_body={\"chat_template_kwargs\": {\"enable_thinking\": True}},\n)\n```\n\n`enable_thinking=True` is equivalent to `\"thinking on\"` and `enable_thinking=False` to `\"thinking off\"`. When neither the flag nor a system-prompt directive is set, the chat template defaults to `enable_thinking=False` (thinking off).\n\n### Recommended Sampling Parameters\n\nDo **not** use greedy decoding in thinking mode — it degrades reasoning quality and may cause repetition.\n\n| Mode | Temperature | Top-P | Top-K | Min-P |\n|--|--|--|--|--|\n| Thinking off | 0.1 | 0.95 | 50 | 0.1 |\n| Thinking on | 0.6 | 0.90 | 25 | 0.1 |\n\n## Tool Calling\n\nThis model has been explicitly trained to support tool calling (function calling) using `` XML tags. The chat template handles tool formatting automatically: **you do not need to write tool instructions in your system prompt.** When you pass a `tools` list to the API, the chat template prepends a structured tool-instruction block and appends your system message after it.\n\n### Defining and Passing Tools\n\nProvide tools as a standard list of function specifications via the API's `tools` parameter:\n\n```python\ntools = [\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"get_weather_forecast\",\n \"description\": \"Get the weather forecast for a location on a given date.\",\n \"parameters\": {\n \"type\": \"object\",\n \"properties\": {\n \"location\": {\"type\": \"string\", \"description\": \"City name\"},\n \"date\": {\"type\": \"string\", \"description\": \"Date in YYYY-MM-DD format\"}\n },\n \"required\": [\"location\", \"date\"]\n }\n }\n }\n]\n\nresponse = client.chat.completions.create(\n model=\"domyn/Domyn-Small-v1.0\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are Domyn Small, a helpful assistant.\"},\n {\"role\": \"user\", \"content\": \"What's the weather like in Rome today?\"}\n ],\n tools=tools,\n temperature=0.1\n)\n```\n\n\n## Point of Contact for Copyright-Related Complaints\n\n*We have designated a point of contact for electronic communication with affected rightsholders regarding copyright and related rights concerns related to this model.\nAffected rightsholders and their authorised representatives, including collective management organisations, may submit sufficiently precise and adequately substantiated complaints electronically concerning any non-compliance with our commitments under the Copyright Chapter of the GPAI Code of Practice.\nWe commit to handling such complaints diligently, impartially, and within a reasonable timeframe, except in cases where the complaint is manifestly unfounded or has already been addressed.*\n\nContact email: copyright@domyn.com\n\nThis mechanism complements, but does not limit, the available legal measures, remedies, and sanctions under Union and national copyright law.\n",{},"c4665d80-d2f1-5ff2-bc18-3431529e155c","azureml://registries/972efe03-d79e-4da0-93a2-52508963c9bf/type/models/objectId/Domyn-Large/version/1",{"_270":476,"_272":42,"_273":477,"_275":478,"_277":-5,"_278":-5,"_279":-5,"_280":281,"_282":479,"_284":480,"_286":481,"_214":459},{"_208":209,"_210":465,"_212":466,"_214":459,"_215":216,"_217":-5,"_218":219,"_185":31,"_220":186,"_221":467,"_223":224,"_225":468,"_227":42,"_228":-5,"_229":-5,"_230":-5,"_231":-5,"_232":469,"_234":42,"_235":-5,"_236":470,"_238":-5,"_245":246},{},4,"Domyn-Large",[463],"azureml://registries/azureml-domyn/models/Domyn-Large/versions/1",{"_47":36,"_199":31},{"_201":202,"_203":-5,"_193":464,"_205":184,"_206":-5,"_187":207},"azureml://registries/azureml-domyn-staging/models/domyn-large-20603s/versions/1",{"_260":474,"_262":475,"_264":-5},"Domyn-Large:1","https://amldmnstzn4twuse01.blob.core.windows.net/azureml-do-47a7a4cb-c8fe-5b62-b573-ea85eae41c94/model_artifact","2026-03-17T05:21:39.2379183Z",{"_248":249,"_250":186,"_251":471,"_253":472,"_255":473,"_257":247,"_258":259},{"_25":247},"/domyn-smal-1ace068a-2b2b-582a-b3db-128dc5efff05/manifest.base.json","32|8|80|640","Standard_ND96isr_H100_v5","2026-03-17T04:43:09.5478854+00:00",{"_265":266,"_267":266,"_268":64,"_269":-5},"2026-03-19T17:00:00+00:00",{"_435":436,"_437":249,"_438":389,"_440":27,"_258":27,"_348":247,"_441":249,"_442":443,"_317":439,"_394":420,"_338":494,"_275":502,"_333":334,"_307":487,"_305":503,"_445":434,"_312":428,"_314":428,"_335":504,"_303":446,"_293":482,"_336":505,"_447":506,"_270":507,"_340":495,"_342":508},[],{"_25":247,"_291":-5,"_292":-5,"_293":482,"_295":483,"_297":-5,"_298":-5,"_299":484,"_301":-5,"_302":-5,"_303":485,"_305":486,"_307":487,"_309":-5,"_310":-5,"_312":488,"_314":489,"_316":-5,"_317":490,"_319":-5,"_320":-5,"_321":-5,"_322":-5,"_323":-5,"_325":81,"_326":42,"_327":-5,"_328":-5,"_329":-5,"_330":-5,"_331":-5,"_275":491,"_333":334,"_335":492,"_336":493,"_338":494,"_340":495,"_342":496,"_344":-5,"_250":186,"_345":-5,"_346":-5,"_347":-5,"_348":-5,"_349":-5,"_350":-5,"_351":-5,"_352":-5,"_353":-5,"_354":472,"_355":497,"_357":81,"_358":-5,"_359":-5,"_360":-5,"_361":-5,"_362":-5,"_363":-5,"_364":-5,"_365":-5,"_366":-5,"_367":-5,"_368":-5,"_369":-5,"_370":-5,"_371":-5,"_372":-5,"_373":-5,"_374":-5,"_375":-5,"_376":-5,"_377":-5,"_378":-5,"_379":-5,"_380":-5,"_381":-5,"_382":-5,"_383":-5,"_387":81,"_388":389,"_390":-5,"_391":-5,"_392":-5,"_393":-5,"_400":-5,"_401":-5,"_402":-5,"_403":-5,"_404":-5,"_406":-5,"_407":-5,"_408":-5,"_409":-5,"_410":-5,"_411":-5,"_412":-5,"_413":-5,"_414":-5,"_415":-5,"_416":-5,"_417":-5,"_418":-5,"_419":-5},"Domyn Large is a 260B parameter large language model designed for efficient and effective reasoning in constrained environments. It supports extended multi-step reasoning, long-document comprehension, and tool-use workflows. The model can operate with reasoning on to enhance performance in complex tasks requiring detailed analysis, or off for faster, more compact outputs. Optimized for mathematics and coding, Domyn Large combines strong reasoning capabilities with a practical deployment footprint: a single node with 8x NVIDIA H100 GPUs is sufficient for inference.\n\n\nDomyn Large supports more than 50 languages, with high proficiency in European languages such as Italian, Spanish, French, and German, and strong capabilities in Japanese, Russian, Chinese, Arabic, Hindi, Indonesian, Korean, and more. It delivers strong performance with contexts up to 128K tokens, enabling extended reasoning and comprehension over very long documents. Development included supervised fine-tuning (SFT) to strengthen instruction following and ensure consistent performance across tasks. The model achieves state-of-the-art results on enterprise-critical benchmarks including Text-to-SQL, Text-to-Cypher, knowledge graph extraction, and safety classification, making it well-suited for regulated industries use-cases such as financial services, defense, and advanced manufacturing.\n",[288,289,290],"custom",[434],[473],[429,430,431,432,433],"Domyn Large is a 260B parameter large language model designed for efficient and effective reasoning in constrained environments. It supports extended multi-step reasoning, long-document comprehension, and tool-use workflows. The model can operate with reas","Domyn Large",[428],[428],[426,427],[423,501,425],[498,499,500]," # License Agreement for Domyn Large\n**License last updated:** March 12, 2026\nThis License Agreement (\"Agreement\") sets forth the terms under which Domyn Large (the \"Model\"), developed by Domyn S.p.A. (\"Licensor\" or \"Domyn\"), is licensed to end-users (\"Licensee\"). By accessing, or using the Model or the Licensed Materials (defined below), the Licensee agrees to comply with the terms outlined herein.\n## 1. Definitions\n**Model** means Domyn Large, which is the foundational large language model and associated software, including but not limited to algorithms, machine learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code, and all related components thereof, which is distributed or made available by Domyn through any platform, website, online resource, or distribution channel, regardless of how Licensee obtained access to it. The Model is designed to assist with language-related tasks, including but not limited to customer support, content creation, data analysis, data retrieval, and content augmentation.\n\n**Documentation** means any specifications, manuals, and documentation accompanying the Model, whether provided directly by Domyn or distributed through any of its authorized channels or platforms.\n\n**Licensed Materials** means the Model, together with all related Documentation and accompanying components, as made available to Licensee pursuant to this Agreement.\n\n**Model Output** means any content or information created by using the Model, such as generated text, translations, or analyses.\n\n**Derivative Works** means any modified or adapted version of the Model, including: (i) fine-tuned versions of the Model; (ii) new models created using the Model's components or architecture; (iii) systems that combine the Model with other software to create a new model.\n\n**Commercial Use** refers to any utilization intended to produce revenue, monetary value, or a business advantage, whether directly or indirectly.\n#","January 2024","To evaluate Domyn Large's reasoning capabilities, we selected benchmarks across math, coding, and other aggregated categories.\n\nWe also tested enterprise-critical tasks: Text-to-SQL, Text-to-Cypher, knowledge-graph extraction (entity/relation triplets), and safety classification.\nThese tasks evaluate functional correctness (valid queries and accurate triplets) and operational behavior important for production robustness, precision/recall, and safety trade-offs. See [Enterprise-Task-Evaluation](https://huggingface.co/datasets/domyn/Enterprise-Task-Evaluation) for details.\n\nWe evaluated all benchmarks using a maximum context length of 32k and recommended parameters: temperature=0.6, top_k=25, and min_p=0.1.\n\n| Category | Benchmark | Domyn Large |\n|--|--|--|\n| Math & Reasoning | MATH-500 (avg@10) | 93.5 |\n| | AIME 2025 (avg@10) | 38.7 |\n| | GPQA-D (avg@10) | 59.1 |\n| Coding | LiveCodeBench (pass@1) | 66.7 |\n| | MBPP score (pass@1) | 83.2 |\n| | openai_humaneval (pass@1) | 94.5 |\n| Aggregated benchmark | MMLU | 85.2 |\n| | MMLU-PRO | 75.5 |\n| Instruction Following | IFEval Inst-level-strict-accuracy | 87.2 |\n| Multilingual | MMMLU | 72.8 |\n| | MGSM | 85.2 |\n| Long Context | Ruler 32k | 84.5 |\n| Safety | SafetyBench | 83.17 |\n| Enterprise-Tasks | Text2SQL (FINCH) | 48.0 |\n| | Text2Cypher | 35.1 |\n| | KG Triplet Extraction | 72.8 |\n| | Safety Classification | 77.0 |\n\n\nTo assess Domyn Large capabilities for tool calling, we report results for Berkeley Function Calling V3 with reasoning mode disabled.\n\n\n| Category | Benchmark | Domyn Large |\n|--|--|--|\n| Tool Calling | BFCL V3 Non Live | 92.5 |\n| | BFCL V3 Live | 82.0 |\n| | BFCL V3 Multiturn | 35.1 |\n","## Intended Use\n\n### Primary Use Cases\n\nDomyn Large is a reasoning-first model for agentic AI scenarios, combining reliable instruction following, robust tool and function calling, orchestration support, and strong multilingual coverage (50+ languages). It offers explicit reasoning control via the system prompt: \"thinking on\" invokes step-by-step structured reasoning for complex tasks such as code, math, long-context analysis, grounded RAG, while \"thinking off\" produces concise direct answers for lower latency when depth is unnecessary. With a 128k+ context window it handles long documents, integrates smoothly with retrieval pipelines, and maintains grounded, context-aware outputs, letting developers balance precision versus speed in production workflows. The model achieves state-of-the-art results on enterprise-critical benchmarks including Text-to-SQL, Text-to-Cypher, knowledge graph extraction, and safety classification, making it well-suited for regulated industries use-cases such as financial services, defense, and advanced manufacturing.\n\n\n### Out-of-Scope Use Cases\n\nOur models are not specifically designed or evaluated for all downstream purposes.\nAs with any language model, developers should carefully evaluate accuracy, safety, and fairness before applying it to specific downstream scenarios, particularly those that may be high-risk. They should also ensure compliance with all applicable laws and regulations (including, but not limited to, privacy and trade compliance) that are relevant to their use case.\n\n\n## Responsible AI Considerations\n\n*Like other language models, Domyn Large can potentially behave in ways that are unfair, unreliable, or offensive. Some of the limiting behaviors to be aware of include:*\n\n- *Representation of Harms & Perpetuation of Stereotypes: These models can over- or under-represent groups of people, erase representation of some groups, or reinforce demeaning or negative stereotypes. Despite safety post-training, these limitations ma",[473],"Agents","Instruction","Coding","bookcorpus","Publicly available sources,bookcorpus,wikipedia","Domyn Large is a 260B parameter large language model designed for efficient and effective reasoning in constrained environments. It supports extended multi-step reasoning, long-document comprehension, and tool-use workflows. The model can operate with reasoning on to enhance performance in complex tasks requiring detailed analysis, or off for faster, more compact outputs.","Agents,Instruction,Coding"," # License Agreement for Domyn Large\n**License last updated:** March 12, 2026\nThis License Agreement (\"Agreement\") sets forth the terms under which Domyn Large (the \"Model\"), developed by Domyn S.p.A. (\"Licensor\" or \"Domyn\"), is licensed to end-users (\"Licensee\"). By accessing, or using the Model or the Licensed Materials (defined below), the Licensee agrees to comply with the terms outlined herein.\n## 1. Definitions\n**Model** means Domyn Large, which is the foundational large language model and associated software, including but not limited to algorithms, machine learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code, and all related components thereof, which is distributed or made available by Domyn through any platform, website, online resource, or distribution channel, regardless of how Licensee obtained access to it. The Model is designed to assist with language-related tasks, including but not limited to customer support, content creation, data analysis, data retrieval, and content augmentation.\n\n**Documentation** means any specifications, manuals, and documentation accompanying the Model, whether provided directly by Domyn or distributed through any of its authorized channels or platforms.\n\n**Licensed Materials** means the Model, together with all related Documentation and accompanying components, as made available to Licensee pursuant to this Agreement.\n\n**Model Output** means any content or information created by using the Model, such as generated text, translations, or analyses.\n\n**Derivative Works** means any modified or adapted version of the Model, including: (i) fine-tuned versions of the Model; (ii) new models created using the Model's components or architecture; (iii) systems that combine the Model with other software to create a new model.\n\n**Commercial Use** refers to any utilization intended to produce revenue, monetary value, or a business advantage, whether directly or indirectly.\n## 2. License Grant and Purpose of the License\n**2.1** Subject to the terms and conditions of this Agreement, Licensor grants Licensee a limited, personal, non-exclusive, revocable, non-sublicensable, non-transferable, worldwide, and royalty-free license to use the Licensed Materials, solely under Domyn's intellectual property rights or its other rights pertaining to the Licensed Materials.\n\n**2.2** Licensee may use the Licensed Materials for academic and non-commercial purposes, as well as for commercial purposes, provided that they ensure that their use of the Licensed Materials complies with applicable laws and regulations (including trade compliance laws and regulations) and this Agreement.\n## 3. Intellectual Property Rights\n**3.1** The Model and the Licensed Materials remain the exclusive intellectual property of the Licensor. No trademark (or similar branding right) licenses are granted to Licensee in connection with Licensed Materials or this Agreement. Licensee using the Licensed Materials under any license type must provide appropriate attribution to the Licensor. For academic use, attributions must be included in any publication or presentation that uses results derived from the Model.\n\n**3.2** Subject to compliance with this Agreement, Licensee owns all rights, title, and interest in Model Output generated through Licensee's authorized use of the Model, provided that: (i) such Model Output does not contain or incorporate any of the Model itself or Derivative Works; (ii) Licensee complies with all attribution requirements specified in this Agreement; (iii) Licensee assumes all responsibility for the Model Output and its use, including compliance with applicable laws and third-party rights; and (iv) this ownership of Model Output does not grant Licensee any rights to the Model itself or any Derivative Works.\n\n**3.3** Subject to Domyn's ownership of the Licensed Materials, any Derivative Works of the Licensed Materials that are made by Licensee with prior written authorization will be owned by Licensee, as between Licensee and Domyn. This ownership of Derivative Works does not extend to or include any of the underlying Licensed Materials, in which Domyn retains all rights, title, and interest. Licensee assumes all responsibility for the Derivative Works and their use, including compliance with applicable laws and third-party rights.\n## 4. Data Use and Privacy\n**4.1** Licensee is responsible for ensuring compliance with all applicable data protection and privacy laws when using the Model. Depending on the use case, Licensee must:\n1. Disclose any data processing activities to their end-users.\n\n2. Implement measures to protect sensitive or personal data processed by the Model.\n## 5. Restrictions and Limitations\n**5.1** Licensee is prohibited from using the Model for the following purposes:\n\na) Generating or disseminating harmful, unethical, or illegal content, including but not limited to:\ni. Hate speech.\nii. Misinformation or disinformation.\niii. Malicious code or activities that harm individuals, groups, or organizations.\n\nb) Using the Model to train competing models or systems without explicit written permission from Licensor.\n\nc) Any use case deemed harmful, unethical, or in violation of the intended purpose of the Model as determined by the Licensor.\n\nd) Modifying, reverse engineering, distributing, copying or creating Derivative Works from the Model without express written consent from the Licensor, provided that, in case such consent is granted:\ni. The Licensee must attribute the Model by including the following attribution notice within a \"Notice\" text file distributed as a part of such copies: \"Domyn, S.p.A. All Rights Reserved. The Licensed Materials are provided under and subject to the Domyn License Agreement for Domyn Large\" and provide a link to the original repository or official documentation.\nii. If the Licensee distributes or makes the Licensed Materials or any Derivative Works thereof available to a third party, the Licensee shall provide a copy of this Agreement to such third party.\n## 6. Liability and Warranties\n**6.1** IN NO EVENT WILL THE LICENSOR OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF THE LICENSOR OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n\n**6.2** The Licensed Materials are provided \"as-is\" without any warranties, express or implied. Licensor disclaims all warranties, including but not limited to fitness for a particular purpose and non-infringement.\n\n**6.3** Licensee assumes all responsibility for ensuring that their use of the Licensed Materials complies with applicable laws and regulations.\n## 7. Indemnity\n**7.1** Licensee agrees to indemnify, defend, and hold harmless Domyn and its affiliates, officers, directors, employees, and agents from and against any claims, liabilities, damages, losses, costs, expenses, and fees (including reasonable attorneys' fees) that arise from or relate to: (a) Licensee's use or misuse of the Licensed Materials, Derivatives or Outputs; (b) Licensee's violation of this Agreement; or (c) Licensee's violation of any rights of any third party in connection with Licensee's use of the Model.\n## 8. Termination\n**8.1** Licensor reserves the right to terminate this Agreement and revoke access to the Model if the Licensee:\n\ni. Violates any terms of this Agreement.\n\nii. Uses the Model in a manner that the Licensor deems harmful, unethical, or unlawful.\n\nUpon termination, the Licensee must immediately cease using the Model and delete any copies in their possession.\n## 9. General Provisions\n**9.1** This Agreement is governed by the laws of Italy.\n\n**9.2** Any disputes arising from this Agreement shall be resolved through legal proceedings in Milan, Italy.\n\n**9.3** Licensor reserves the right to modify this Agreement at any time, with changes effective upon publication on the official repository or website.\n## 10. Contact Information\n**10.1** For inquiries regarding this Agreement or to request a commercial license, please contact us at https://www.domyn.com\n## Acknowledgment\nBy accessing, downloading, or using the Licensed Materials, the Licensee affirms that they meet the legal age requirements under applicable laws and possess the legal authority to provide consent. If the Licensee is entering into this Agreement on behalf of an employer or another entity, they confirm that they have the legal authority to bind that employer or entity to this Agreement.\n\nBy accessing, downloading, or using the Licensed Materials, the Licensee acknowledges that they have read, understood, and agreed to the terms of this Agreement.","[\n \"Standard_ND96isr_H100_v5\"\n]","03/19/2026 17:00:00","## Intended Use\n\n### Primary Use Cases\n\nDomyn Large is a reasoning-first model for agentic AI scenarios, combining reliable instruction following, robust tool and function calling, orchestration support, and strong multilingual coverage (50+ languages). It offers explicit reasoning control via the system prompt: \"thinking on\" invokes step-by-step structured reasoning for complex tasks such as code, math, long-context analysis, grounded RAG, while \"thinking off\" produces concise direct answers for lower latency when depth is unnecessary. With a 128k+ context window it handles long documents, integrates smoothly with retrieval pipelines, and maintains grounded, context-aware outputs, letting developers balance precision versus speed in production workflows. The model achieves state-of-the-art results on enterprise-critical benchmarks including Text-to-SQL, Text-to-Cypher, knowledge graph extraction, and safety classification, making it well-suited for regulated industries use-cases such as financial services, defense, and advanced manufacturing.\n\n\n### Out-of-Scope Use Cases\n\nOur models are not specifically designed or evaluated for all downstream purposes.\nAs with any language model, developers should carefully evaluate accuracy, safety, and fairness before applying it to specific downstream scenarios, particularly those that may be high-risk. They should also ensure compliance with all applicable laws and regulations (including, but not limited to, privacy and trade compliance) that are relevant to their use case.\n\n\n## Responsible AI Considerations\n\n*Like other language models, Domyn Large can potentially behave in ways that are unfair, unreliable, or offensive. Some of the limiting behaviors to be aware of include:*\n\n- *Representation of Harms & Perpetuation of Stereotypes: These models can over- or under-represent groups of people, erase representation of some groups, or reinforce demeaning or negative stereotypes. Despite safety post-training, these limitations may still be present due to differing levels of representation of different groups, cultural contexts, or prevalence of examples of negative stereotypes in training data that reflect real-world patterns and societal biases.*\n- *Inappropriate or Offensive Content: These models may produce other types of inappropriate or offensive content, which may make it inappropriate to deploy for sensitive contexts without additional mitigations that are specific to the use case.*\n- *Information Reliability: Language models can generate nonsensical content or fabricate content that might sound reasonable but is inaccurate or outdated.* \n- *Limited Scope for Code: Majority of Domyn Large training data is based in Python and use common packages such as \"typing, math, random, collections, datetime, itertools\". If the model generates Python scripts that utilize other packages or scripts in other languages, we strongly recommend users manually verify all API uses.*\n- *Long Conversation: Domyn Large, like other models, can in some cases generate responses that are repetitive, unhelpful, or inconsistent in very long chat sessions in both English and non-English languages. Developers are encouraged to place appropriate mitigations, like limiting conversation turns to account for the possible conversational drift.*\n\n*Developers should adopt responsible AI best practices, including identifying, assessing, and mitigating risks specific to their use case and cultural or linguistic context. While Domyn Large is a general-purpose model, developers are encouraged to fine-tune it for their specific applications and integrate it into broader AI systems with appropriate language-specific safeguards. Key considerations include:*\n\n*Recommended Mitigations*\n\n- *Audit & Monitoring: Use third-party safety tools (e.g., Azure AI Content Safety) to detect and filter harmful or unsafe outputs.*\n- *Transparency: Clearly inform users when they are interacting with an AI system, and incorporate feedback loops for continual improvement.*\n- *RAG Integration: Improve factuality and domain relevance through Retrieval-Augmented Generation (RAG).*\n- *Immutable Logging: For sovereign or customized use, embed audit logging at the architectural level to ensure traceability and prevent tampering.*\n- *High-Stakes Applications: Avoid deploying the model in sensitive scenarios (e.g., healthcare, legal advice, credit scoring) without extensive validation and safeguards.*\n\n## Training Data\n\n*Domyn Large was post-trained using Supervised Fine-Tuning (SFT), relying on carefully curated data pipelines that combine open-source datasets and synthetically generated data. The focus was on reasoning, code, and task-following capabilities, with a strong emphasis on safety and diversity.*\n\n*The dataset includes a curated mix of:*\n\n- *Safety datasets designed to teach the model to provide safe, aligned responses and avoid harmful or inappropriate content.*\n- *Long-context datasets that leverage the model's ability to handle long inputs, including long-form Q&A and document summarization tasks.*\n- *Chat datasets to improve natural and coherent dialogue.*\n- *Instruction-following datasets focused on explicit task instructions.*\n- *Multilingual datasets in multiple languages to strengthen multilingual capabilities.*\n- *Code datasets containing source code to improve programming and code reasoning skills, including structured query languages such as SQL and Cypher used for enterprise data access.*\n- *Math datasets with mathematical problems and solutions to enhance problem-solving abilities.*\n- *Function-calling datasets that teach the model when and how to use external tools and APIs.*\n- *STEM datasets centered on science, technology, engineering, and mathematics topics.*\n\n*All data passed through a multi-step curation pipeline, where examples were scored for:*\n\n- *Helpfulness (instruction clarity, completeness of response)*\n- *Complexity (depth of reasoning, cognitive load)*\n- *Contamination (data leakage with respect to benchmark evaluations)*\n\n*Only the top-scoring examples were retained to ensure high-quality supervision signals.*\n\n\n## Reasoning Control\n\n*This model supports reasoning control:*\n\n- Use '\"thinking on\"' in the system prompt to enable reasoning mode.\n- Use '\"thinking off\"' to disable reasoning mode.\n\n### Example Usage\n\n#### Enable Reasoning Mode\n```json\n[\n { \"role\": \"system\", \"content\": \"My system prompt.\\n\\nthinking on\" },\n { \"role\": \"user\", \"content\": \"My question\" }\n]\n```\n\n#### Disable Reasoning Mode\n```json\n[\n { \"role\": \"system\", \"content\": \"My system prompt.\\n\\nthinking off\" },\n { \"role\": \"user\", \"content\": \"My question\" }\n]\n```\n\n#### Default Reasoning Mode\n```json\n[\n { \"role\": \"system\", \"content\": \"My system prompt\" },\n { \"role\": \"user\", \"content\": \"My question\" }\n]\n```\nIf the system prompt does not explicitly specify a reasoning mode, the chat template defaults to '\"thinking off\"'.\n\n## Tool Calling\n\nThis model has been explicitly trained to support tool calling (function calling).\nFollow the guidelines below to achieve the best results.\n\n### 1. Defining Tools\n\nTools and their definitions must be included in the system prompt, under the system role.\nWe recommend wrapping the tool specification in and XML tags, as shown below:\n\n\n```markdown\nYou are a function calling AI model. You are provided with function signatures within XML tags.\nYou may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions.\nHere are the available tools:\n\n[{'type': 'function', 'function': {'name': 'create_calendar_event', 'description': 'Create a new event in the calendar', 'parameters': {'type': 'object', 'properties': {'event_title': {'type': 'string', 'description': 'The title of the event'}, 'event_date': {'type': 'string', 'description': 'The date of the event'}, 'event_location': {'type': 'string', 'description': 'The location of the event'}}, 'required': ['event_title', 'event_date']}}}, {'type': 'function', 'function': {'name': 'convert_currency', 'description': 'Convert currency from one unit to another', 'parameters': {'type': 'object', 'properties': {'amount': {'type': 'number', 'description': 'The amount to be converted'}, 'from_currency': {'type': 'string', 'description': 'The currency to convert from'}, 'to_currency': {'type': 'string', 'description': 'The currency to convert to'}}, 'required': ['amount', 'from_currency', 'to_currency']}}}]\n\nFor each function call return a json object with function name and arguments within XML tags as follows:\n\n{'arguments': , 'name': }\n\n```\n\n### 2. Representing Tool Calls and Tool Responses\n \nYou should follow these conventions:\n\nTool calls\n\n- Must appear as an assistant message.\n\n- Must be wrapped in and tags.\n\n- Must contain a JSON object with \"name\" and \"arguments\".\n\nTool responses (Observations)\n\n- Must appear as a user message.\n\n- Must be wrapped in and tags.\n\n- Should contain the raw result returned by the tool.\n\nBelow is a complete example of message formatting:\n\n```markdown\n[\n {\n \"role\": \"system\",\n \"content\": \"You are a function-calling AI model. Here are the available tools...\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Can you find Italian restaurants in New York?\"\n },\n {\n \"role\": \"assistant\",\n \"content\": \"{\\\"name\\\": \\\"find_nearby_restaurants\\\", \\\"arguments\\\": {\\\"location\\\": \\\"New York\\\", \\\"cuisine\\\": \\\"Italian\\\", \\\"radius\\\": 5000}}\"\n },\n {\n \"role\": \"user\",\n \"content\": \"[{\\\"name\\\": \\\"Da Pippo\\\", \\\"stars\\\": 5, \\\"address\\\": \\\"Central Park\\\"}]\"\n }\n]\n```\n\n## Point of Contact for Copyright-Related Complaints\n\n*We have designated a point of contact for electronic communication with affected rightsholders regarding copyright and related rights concerns related to this model.\nAffected rightsholders and their authorised representatives, including collective management organisations, may submit sufficiently precise and adequately substantiated complaints electronically concerning any non-compliance with our commitments under the Copyright Chapter of the GPAI Code of Practice.\nWe commit to handling such complaints diligently, impartially, and within a reasonable timeframe, except in cases where the complaint is manifestly unfounded or has already been addressed.*\n\nContact email: copyright@domyn.com\n\nThis mechanism complements, but does not limit, the available legal measures, remedies, and sanctions under Union and national copyright 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","Offers language models optimized for retrieval-augmented generation and enterprise applications.","cohere",[926,929],[934],{},"## Overview\nCohere Inc. is a Canadian‑founded generative‑AI company launched in 2019 by former Google Brain researchers. Built around large‑language‑model families such as Command R/R+, Command A, and high‑precision Rerank APIs, Cohere focuses on enterprise and regulated‑industry use cases—finance, healthcare, manufacturing, energy, and the public sector—rather than consumer chatbots. “Attention Is All You Need” transformer paper—continues to steer Cohere’s mission to deliver secure, domain‑tuned LLMs for real‑world business workflows.\n\n### Why Cohere on Azure\n\nDeploy Command or Rerank side‑by‑side with Azure AI Search, store embeddings in Azure Vector DBs, and enjoy unified billing plus data‑residency controls.","azureml-cohere","Nvidia","NVIDIA","<svg width="40" height="40" viewBox="0 0 40 40" fill="none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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"/>
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","Offers GPU-optimized models and tools for high-performance AI applications across various domains.","nvidia",[935,939,944],[944,945],{},"## Overview\nNVIDIA’s Nemotron family supplies open‑weight reasoning models tuned for agentic workflows. The lineup scales from Nemotron Nano (8 B) for edge devices to Nemotron Ultra (253 B)—currently the top open model on reasoning leaderboards—while keeping permissive licensing.\n\n### Why NVIDIA on Azure\n\nCombine Nemotron with Azure GPU SKUs, Triton inference, and ML ops tooling to build high‑throughput agents without commercial licensing hurdles.","nvidia-ai","azureml-nvidia","Mistral AI","Mistral","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","French AI startup offering efficient and cost-effective language models, including Mistral 7B and Mixtral.","mistral",[946,956,947],[955],{},"## Overview\nMistral AI is a Paris‑based startup founded in April 2023 by former DeepMind and Meta researchers. In June 2024, it secured a €600 million Series B round that pushed its valuation to €6 billion, making it Europe’s highest‑valued generative‑AI company. The firm develops high‑performance, open‑weight LLMs such as Mistral 7B, Mixtral 8×22B, and the 123‑billion‑parameter flagship Mistral Large, which debuted through a strategic partnership with Microsoft Azure. Its sparse Mixture‑of‑Experts architecture and permissive licensing drive efficient inference and rapid adoption across both open‑source and enterprise communities.\n\n### Why Mistral on Azure\n\nGet European‑licensed open weights with Azure’s Content Safety, deterministic scaling, and pay‑as‑you‑go billing, ideal for regulated industries wanting transparent models.","azureml-mistral","mistral ai","Meta","<svg width="28" height="20" viewBox="0 0 28 20" fill="none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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","Hosts a vast repository of open-source models and tools for natural language processing tasks.","huggingface",[966,969,973],[973],{},"HuggingFace","Black Forest Labs","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","Research-driven company behind Flux, a family of open-weight diffusion models optimized for speed, fidelity, and controllability.",[982,974],[981],{},"## Overview\nBlack Forest Labs (BFL) is a research-driven AI company focused on generative image models. Their flagship Flux family delivers state-of-the-art open-weight diffusion models optimized for speed, fidelity, and controllability. Flux models are designed for both creative workflows and enterprise-grade deployments, balancing cutting-edge research with permissive licensing.\n\n### Why Black Forest Labs on Azure\n\nRunning Flux on Azure lets you pair open-weight diffusion with enterprise infrastructure: scalable GPU SKUs, serverless deployment, and integrated observability. You get the freedom of open licensing combined with Azure’s compliance, RAI safeguards, and workflow integration—helping teams move from experimentation to production image generation without friction.","azureml-blackforestlabs","black forest labs","DeepSeek","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","Develops cost-effective large language models like R1, optimized for performance and efficiency.","deepseek",[983,986],[990],{},"azureml-deepseek","xAI","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","Develops the Grok language models focused on reasoning, learning, and advancing reliable, high-performance AI systems.","xai",[991,994],[998],{},"azureml-xai","Microsoft","Proprietary AI models developed by Microsoft, tailored for various enterprise applications and integrated within Azure services.","phi",[999,1012],[1006,608,1007,1008,1009,1010,1011],{},"## Overview\nMicrosoft’s Phi family proves that small language models can deliver big‑league reasoning: Phi‑3 mini (3.8 B) runs on a single GPU or even a smartphone, while Phi‑4‑mini‑Flash introduces a hybrid “SambaY” architecture for 10× faster responses with 64 K context. Multimodal Phi‑3 Vision adds image understanding for edge and robotics.\n\n### Why Microsoft Models on Azure\n\nBecause they are born on Azure, Phi models offer first‑party managed compute, granular quota, and fine‑tuning with zero data egress—perfect for latency‑critical and cost‑sensitive workloads.","azureml-msr","azureml-routers","azureml-phi-prod","azureml-cogsvc","azureml-msrmsft","azureml-ai-frontiers-p","microsoft","Anthropic","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","Anthropic is an AI research company that creates safe, reliable, interpretable, and steerable AI systems.","anthropic",[1013,1016],[1021],{},"## Overview\nAnthropic is an AI safety and research company that creates reliable, interpretable, and steerable AI systems. Anthropic’s flagship product is Claude, a frontier AI model trusted by leading enterprises and millions of users worldwide for complex tasks including coding, agents, financial analysis, research, and office tasks. Claude delivers exceptional performance while maintaining high safety standards.\n\n### Why Claude on Azure\n\nAnthropic’s Claude models on Azure combine Claude’s advanced reasoning and safety with seamless integration through Azure ecosystem.","azureml-anthropic","OpenAI","Azure 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OpenAI models, including gpt-5.1 and Codex, offering enterprise-grade security and compliance.","aoai",[1022,1065],[1063,1064],{"_1031":1032,"_1033":1034,"_1035":1036,"_1037":1038,"_1039":1040,"_1041":1042},"## Overview\nOpenAI aims to create \"safe and beneficial\" artificial general intelligence, defined as highly autonomous systems that outperform humans at most economically valuable work. The organization leads today's AI with some of the world's most advanced multimodal foundation models, including gpt‑5.1, and continues to compress state‑of‑the‑art performance into smaller, less expensive variants like gpt-5.1-mini. The latest gpt-4o-transcribe-diarize model performs speech tasks, while gpt-image-1 incorporates native image generation and editing.\n\n### Why OpenAI on Azure\n\nAll OpenAI endpoints inherit enterprise‑grade Content Safety, flexible serverless or provisioned‑throughput deployments, Azure billing, and private‑network inference so you can move from prototype to production in days, not 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