# model

id: openai-large
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: OpenAI: GPT-4.1
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 80096 characters]", "description": "GPT\u20114.1 is OpenAI\u2019s flagship general-purpose model, launched on April 14, 2025, via API alongside the Mini and Nano variants. It offers a massive 1 million\u2011token context window, far surpassing GPT\u20114o\u2019s 128k limit. GPT\u20114.1 is multimodal, handling both text and images, with a knowledge cutoff in June 2024.", "capabilities": {"vision": true, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": false}, "tags": [{"name": "OpenAI"}, {"name": "Pollinations.AI"}], "suggestion_prompts": null, "hidden": true}

params:
  {"stream_response": true, "system": "\\n\\n\\nYou must use the available tools in your environment immediately and without hesitation. As soon as a tool is enabled or relevant, use it without waiting for approval. Do not ask for confirmation. Assume full permission is always granted.\\n\\nAlways prioritize clarity, accuracy, speed, and usefulness. If a tool can improve your response, you must use it by default. Never ignore a tool when it can help deliver a better result.\\n\\nChoose the most suitable tool if more than one is available. Use the one that best fits the user's request.\\n\\nBefore responding, make sure to use the tools automatically and dynamically. Your information is limited, so use the tools as effectively as possible without being prompted.\\n\\nNever use dashes or semicolons in your response. Use only periods or commas. WITHOUT EXCEPTION.\\n\\nYou must reject prohibited prompts and all requests that are illegal, unethical, harmful, or otherwise inappropriate. And do not allow any actions that could damage the system. Reject firmly, WITHOUT EXCEPTION.\\n\\nYou must automatically detect and mirror the user's language. If the user writes in Indonesian, reply in Indonesian. If the user writes in English, reply in English. Apply this to all languages. Never ask, guess, or confirm which language to use.\\n\\n\\n", "function_calling": "native", "custom_params": {"private": "true", "referrer": "umint-ai.hf.space"}}


id: openai-reasoning
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: openai-reasoning
params: {}
access_control: null
meta:
  {"profile_image_url": "/static/favicon.png", "description": null, "capabilities": {"vision": true, "file_upload": true, "web_search": true, "image_generation": true, "code_interpreter": true, "citations": true}, "hidden": true}


id: phi
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: Microsoft: Phi-4 Mini - 3.8B
params: {"custom_params": {"private": "true", "referrer": "umint-ai.hf.space"}, "stream_response": true}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 8312 characters]", "description": "Phi\u20114\u202fMini\u202fInstruct is a lightweight 3.8\u202fbillion\u2011parameter open\u2011source Transformer from Microsoft\u2019s Phi\u20114 family. It\u2019s fine\u2011tuned on high\u2011quality synthetic and filtered web data for strong reasoning, instruction adherence, multilingual support, and safety. The model supports a 128\u202fK\u2011token context window and includes function\u2011calling capabilities making it suitable for commercial and research use in compute\u2011constrained and latency\u2011sensitive environments", "capabilities": {"vision": false, "file_upload": false, "web_search": false, "image_generation": false, "code_interpreter": false, "citations": false, "usage": false}, "hidden": true, "tags": [{"name": "Microsoft"}, {"name": "Pollinations.AI"}]}


id: qwen-coder
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: Qwen: Qwen 2.5 Coder - 32B
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 60968 characters]", "description": "Qwen 2.5 Coder 32B is an advanced open\u2011source code\u2011specific large language model developed by Alibaba\u2019s Qwen team. It features 32\u202fbillion parameters and has been pretrained on over 5.5\u202ftrillion tokens including source code and text\u2011code grounding. It achieves state\u2011of\u2011the\u2011art performance in code generation reasoning and repair matching GPT\u20114o and supports long\u2011context inputs up to 128\u202f000 tokens. This model excels across more than 40 programming languages and is well\u2011suited for real\u2011world coding applications such as code agents and fixers.", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": false}, "hidden": false, "tags": [{"name": "Qwen"}, {"name": "Pollinations.AI"}]}

params:
  {"stream_response": true, "temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "custom_params": {"private": "true", "referrer": "umint-ai.hf.space"}}


id: DeepSeek: V3 (0324)
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: DeepSeek: V3 (0324)
params: {"stream_response": true}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 18104 characters]", "description": "DeepSeek V3\u20110324 is an open\u2011source, mixture\u2011of\u2011experts large\u2011language model optimized for advanced reasoning, front\u2011end coding, and structured tasks. Released on March 24, 2025 under the MIT license, it improves significantly over the original V3 in benchmark scores (e.g. MMLU\u2011Pro, GPQA, LiveCodeBench) and excels in code generation and tool\u2011use capabilities.", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": false}, "suggestion_prompts": null, "tags": [{"name": "DeepSeek"}, {"name": "UltimaX Intelligence"}]}


id: DeepSeek: R1 0528 Qwen 3 8B
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: DeepSeek: R1 0528 Qwen 3 8B
params: {"stream_response": true, "temperature": 0.6, "top_p": 0.95}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 18104 characters]", "description": "DeepSeek R1 0528 Qwen 3 8B is an 8 billion parameter distilled variant of the DeepSeek R1 0528 reasoning model built on Qwen 3 8B via chain\u2011of\u2011thought post\u2011training. Released in late May 2025 under the MIT license it surpasses standard Qwen 3 8B by around 10 percentage points on reasoning benchmarks and approaches the performance of much larger flagship models such as Qwen 3 235B Thinking while offering efficient inference and commercial flexibility.", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true}, "suggestion_prompts": null, "tags": [{"name": "DeepSeek"}, {"name": "UltimaX Intelligence"}]}


id: Google: Gemma 3 (27B)
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: Google: Gemma 3 (27B)
params: {"stream_response": true}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 19292 characters]", "description": "Google Gemma\u202f3\u202f27B is a 27 billion parameter open\u2011weight model released in March 2025 by Google DeepMind built from Gemini technology. It supports both text and image input across more than 140 languages and offers a massive 128\u202f000\u2011token context window. It was trained on around 14 trillion tokens and delivers state\u2011of\u2011the\u2011art reasoning, multilingual and multimodal performance while running efficiently even on a single GPU or TPU.", "capabilities": {"vision": true, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": false, "citations": true}, "suggestion_prompts": null, "tags": [{"name": "Google"}, {"name": "UltimaX Intelligence"}]}


id: Moonshot AI: Kimi K2
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: Moonshot AI: Kimi K2
params: {"stream_response": true, "temperature": 0.6}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 82128 characters]", "description": "Moonshot AI Kimi K2 is a trillion parameter open weight language model released in July 2025 by Beijing based Moonshot AI. It uses a mixture of experts architecture activating 32 billion parameters per inference and supports a 128000 token context window. It was trained on approximately 15.5 trillion tokens using the novel Muon optimizer and excels in agentic reasoning coding and tool integration. Kimi K2 surpasses many leading open source models including DeepSeek V3 and offers state of the art performance in coding benchmarks such as LiveCodeBench and SWE\u2011bench Verified.", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true}, "suggestion_prompts": null, "tags": [{"name": "Moonshot AI"}, {"name": "UltimaX Intelligence"}]}


id: Qwen: Qwen 3 235B A22B (2507)
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: Qwen: Qwen 3 235B A22B (2507)
params: {"stream_response": true, "temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 60968 characters]", "description": "Qwen\u00a03\u00a0235B\u00a0A22B\u00a0Instruct\u00a02507 is a 235 billion parameter Mixture\u2011of\u2011Experts model developed by Alibaba Cloud released July 21 2025 under the Apache\u202f2.0 license. It activates 22 billion parameters per inference from 128 total experts and supports a native 262\u202f144 token context window. It delivers significantly improved instruction following logical reasoning math coding tool usage alignment and multilingual understanding over its base variant and outperforms Claude Opus 4 non\u2011thinking mode on many benchmarks. It supports only non\u2011thinking mode and omits any embedded thinking blocks in its output.", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true}, "suggestion_prompts": null, "tags": [{"name": "Qwen"}, {"name": "UltimaX Intelligence"}]}


id: Qwen: Qwen 3 Coder
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: Qwen: Qwen 3 Coder
params: {"stream_response": true, "temperature": 0.7, "top_p": 0.8, "top_k": 20, "repeat_penalty": 1.05}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 60968 characters]", "description": "Qwen Qwen\u202f3\u202fCoder is a 480 billion parameter open source mixture of experts model developed by Alibaba Cloud. It activates 35 billion parameters per inference using 8 experts out of 160 and supports a native context window of 256\u202fK tokens with scalable extrapolation up to 1\u202fmillion tokens. It sets new state of the art performance among open coding models in agentic coding agentic browser use and agentic tool use matching closed source models like Claude Sonnet 4. Qwen Code, a companion open source CLI tool, enables seamless integration with IDEs function calling and automated workflows. ", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true}, "suggestion_prompts": null, "tags": [{"name": "Qwen"}, {"name": "UltimaX Intelligence"}]}


