Model Catalog
Pick a model from our selection, or deploy a previously fine-tuned model.
Laya
New Laya is a multilingual, non-autoregressive System One decision model for calibrated routing, scoring, guardrails, moderation, and other low-latency decisions.
NVIDIA Nemotron 3 Diarization
100M-parameter speaker diarization model for identifying who spoke when in live and recorded audio, including overlapping speech from up to eight speakers.
DeepSeek V4 Flash Vision Exp
New DeepSeek V4 Flash Vision Exp is an experimental multimodal MoE model built for efficient visual reasoning, tool use, and agentic workloads. It matches the performance of DeepSeek V4 Flash while heavily increasing multimodal agent capabilities.
Qwen3.8 27B
New Qwen3.8-27B is a compact 27B dense vision-language model with native image and video understanding, flexible thinking control, and stronger coding, research, and long-horizon agentic performance. Context length is 262K natively and extensible to 1M tokens.
NVIDIA Nemotron 3.5 Lightning 30B A3B NVFP4
New NVIDIA Nemotron 3.5 Lightning 30B A3B is a 30B-parameter sparse language model, provided in an NVIDIA-optimized NVFP4 format for efficient enterprise inference.
NVIDIA Nemotron 3.5 Lightning 30B A3B BF16
New NVIDIA Nemotron 3.5 Lightning 30B A3B is a 30B-parameter sparse language model, provided in BF16 format for enterprise inference.
DeepSeek V4 Flash 0731
New DeepSeek V4 Flash 0731 is an updated release of the 284B-parameter MoE model with 13B activated parameters, built for efficient long-context intelligence.
Gemma 4 31B IT FP8 Dynamic
RedHatAI's gemma-4-31B-it-FP8-dynamic was obtained by quantizing the weights and activations of google/gemma-4-31B-it to FP8 data type using dynamic per-token quantization.
Qwen AgentWorld 35B A3B
Qwen-AgentWorld-35B-A3B is a 35B parameter Qwen model with 3B active parameters, optimized for agentic workloads and long-context reasoning.
Nemotron 3 Nano Omni 30B A3B Reasoning BF16
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 is a multimodal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows.
Nemotron 3 Nano Omni 30B A3B Reasoning FP8
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-FP8 is a multimodal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows.
Gemma 4 31B IT
Gemma 4 is Google's open multimodal family built on the same research stack as Gemini. This instruction-tuned 31B variant supports image-text input and conversational use.
Gemma 4 26B A4B IT
Gemma 4 26B A4B is a mixture-of-experts instruction-tuned model in the Gemma 4 line, with multimodal (image-text) conversational capabilities.
Gemma 4 E4B IT
Compact Gemma 4 E4B instruction-tuned variant with multimodal (image-text and broader modality) support for efficient deployment.
Gemma 4 E2B IT
Smallest Gemma 4 E2B instruction-tuned variant with multimodal (image-text and broader modality) support for edge-friendly deployment.
Qwen3.5 9B
Qwen3.5-9B is a smaller, efficient variant of Qwen3.5 that preserves its multimodal intelligence, scalable reasoning, and broad multilingual capabilities while optimizing for lower resource usage and faster deployment.
Qwen3 Coder Next
Qwen3-Coder-Next is an open-weight coding-focused model that delivers high performance with minimal active parameters, excels in agentic reasoning and tool use, and integrates seamlessly into real-world IDEs with long context support.
Ministral 3 Small 14B Reasoning 2512
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language model with vision capabilities.
Magistral Small 2507
Deprecated 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
gemma 3 12b it
Deprecated 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 4b it
Deprecated 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 1b it
Deprecated 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.
deepseek r1 distill qwen 32b
Deprecated DeepSeek-R1 is an advanced reasoning system using reinforcement learning with cold-start initialization, achieving performance comparable to leading proprietary models. The release includes distilled variants like DeepSeek-R1-Distill-Qwen-32B, which outperforms OpenAI's GPT-4-mini across mathematical reasoning (92.3% MATH) and coding benchmarks while maintaining commercial usability. This 32B-parameter model sets new state-of-the-art results for dense models in its class through optimized knowledge distillation from the R1 framework.
Llama 3.2 11B Vision Instruct
Deprecated The Llama-3.2-11B-Vision-Instruct is a multimodal large language model optimized for visual recognition, image reasoning, captioning, and answering questions about images, trained on 6 billion image-text pairs, with 11 billion parameters, and supported for commercial and research use in English.
Meta Llama 3.1 8b Instruct
Deprecated The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out)
Meta Llama 3 8b Instruct
Deprecated Meta Llama 3 is a family of instruction-tuned, auto-regressive LLMs with optimized transformer architecture, offered in 8B and 70B sizes, designed for superior performance in dialogue applications and enhanced safety and helpfulness.