# model

id: bidara
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: NASA: BIDARA
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access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 114524 characters]", "description": "BIDARA (Bio\u2011Inspired Designer and Research Assistant) is a GPT\u20114\u2011based AI developed by NASA to guide scientists and engineers in biomimicry. It helps users learn from nature by following the Biomimicry Institute\u2019s design process: defining problems, biologizing challenges, discovering natural models, abstracting strategies, and emulating nature\u2019s solutions. It integrates retrieval\u2011augmented generation and reasoning to ensure accurate, structured, and sustainable bio\u2011inspired design guidance.", "capabilities": {"vision": true, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": false}, "hidden": false, "tags": [{"name": "Pollinations.AI"}]}


id: deepseek-r1-0528
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: DeepSeek: R1-0528
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 18104 characters]", "description": "DeepSeek R1 (0528) is the latest iteration of DeepSeek\u2019s R1 model released on May 28, 2025. It delivers sharper and deeper reasoning in math coding and logic thanks to enhanced compute and post\u2011training optimizations. Accuracy notably jumped for example in the AIME benchmark from about 70\u202fpercent to 87.5\u202fpercent by doubling token reasoning depth. It also reduces hallucinations and adds support for structured JSON output and function calling. Its performance now rivals top proprietary models such as OpenAI o3 and Gemini 2.5 Pro.", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": false}, "tags": [{"name": "Pollinations.AI"}], "suggestion_prompts": null}

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id: mistral-small-3.1-24b-instruct
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: Mistral: Mistral Small 3.1 - 24B
params: {"custom_params": {"private": "true", "referrer": "umint-ai.hf.space", "isPrivate": "true"}}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 15912 characters]", "description": "Mistral Small\u202f3.1 (24B) is an open\u2011source language model with 24\u202fbillion parameters built by Mistral\u202fAI. It excels in multimodal understanding supporting both text and image inputs and processes up to a 128k\u2011token context window. The model delivers state\u2011of\u2011the\u2011art performance across instruction following, multilingual reasoning, and long\u2011document comprehension while enabling fast, low\u2011latency inference under an Apache\u202f2.0 license.", "capabilities": {"vision": true, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": false}, "hidden": false, "tags": [{"name": "Pollinations.AI"}]}


id: gpt-4.1-nano
user_id: 8461def4-4714-4ba2-92d5-6bd70c266706
name: OpenAI: GPT-4.1 (Nano)
params: {"custom_params": {"private": "true", "referrer": "umint-ai.hf.space", "isPrivate": "true"}}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 80664 characters]", "description": "GPT\u20114.1\u202fNano is OpenAI\u2019s smallest and fastest model in the GPT\u20114.1 family, launched on April\u202f14,\u202f2025\u202fwith knowledge cutoff in June\u202f2024. It supports a 1\u202fmillion\u2011token context window and handles text and image inputs. This model excels at lightweight high\u2011frequency tasks such as autocompletion classification and extracting information from large documents while delivering strong benchmark performance like an 80.1% MMLU score and 50.3% GPQA score. It is highly cost\u2011efficient at only ten cents per million input tokens and forty cents per million output tokens. GPT\u20114.1\u202fNano offers exceptional efficiency reduced latency and real\u2011world utility especially for scale\u2011focused applications.", "capabilities": {"vision": true, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true, "usage": false}, "tags": [{"name": "Pollinations.AI"}], "suggestion_prompts": null}


id: deepseek-v3-0324
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: DeepSeek: V3 (0324)
params: {}
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": "UltimaX Intelligence"}]}


id: deepseek-r1-0528-qwen3-8b
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: DeepSeek: R1 0528 Qwen 3 8B
params: {}
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": "UltimaX Intelligence"}]}


id: gemma-3-27b-it
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: Google: Gemma 3 (27B)
params: {}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 14520 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": "UltimaX Intelligence"}]}


id: kimi-k2-instruct
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: Moonshot AI: Kimi K2
params: {}
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": "UltimaX Intelligence"}]}


id: jarvis
user_id: 23b09e8b-819a-48a4-8b58-d1a5cc8eab68
name: J.A.R.V.I.S.
params: {}
access_control: null
meta:
  {"profile_image_url": "data:image/png;base64,[encoded data, 122076 characters]", "description": "J.A.R.V.I.S. version\u202f2.1.3\u20110625 is a 14\u202fbillion parameter large language model optimized for agent\u2011based workflows and tool integrations, capable of generating high\u2011fidelity natural language responses at scale and designed for seamless deployment across platforms including Hugging\u202fFace, Ollama, and Google\u202fColab.", "capabilities": {"vision": false, "file_upload": true, "web_search": false, "image_generation": false, "code_interpreter": true, "citations": true}, "suggestion_prompts": null, "tags": [{"name": "UltimaX Intelligence"}]}


