Models

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...

Alia Salamandra 40b is a multilingual Salamandra-family language model focused on European and Iberian languages.

Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding responses, either structured or natural language. It excels at video understanding tasks like video QA, summarization, and event detection. On image inputs, it advances point-by-example grounding from multimodal prompts, OCR and document parsing on messy real-world inputs, open vocabulary object detection and counting, and hand pose estimation. Reasoning can be enabled per request to trade latency for deeper analysis on harder tasks. Structured annotations are emitted inline with text only when explicitly requested via the annotation_format parameter (pass "point", "box", or "polygon" for spatial localization on images, or "clip" (start/end timestamps) for temporal segments in video). Without annotation_format, the model returns natural-language text only.

> A step up from the previous Anubis models. Better prose, better logic (for a 70b).

> I have to agree with random. I'm using it at Q6 on 32k context size and it has zero issues following the system prompt, following the character details and remembering what happened even in the higher context limits. I'm currently using it in a group chat with 3 characters where I have join character cards enabled and it plays each character really well and still includes the smaller character details. Only a few minor mishaps where it'll get a small detail mixed up and confused, but with a swipe it's fixed. Now using this as my main model because nothing has beaten it yet.

Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.

This model is finetuned from meta-llama/Llama-3.3-70B-Instruct as an rsLoRA adapter. It uses the same data mix as Doctor-Shotgun/L3.3-70B-Magnum-v5-SFT-Alpha, however with pre-tokenization and modifications to the custom loss masking. It's for all intents and purposes a version update to the former model. This model should perform competently with or without prepending character names, and with or without prefill.

As of this writing (July 2025), this model tops the **UGI Leaderboard** for models under 70 billion parameters in both the **UGI** and **W10** categories.

Dolphin Mistral 24B Venice Edition is now live on https://venice.ai/ as “Venice Uncensored,” the new default model for all Venice users.

Palmyra X5 is Writer's most advanced model, purpose-built for building and scaling AI agents across the enterprise. It delivers industry-leading speed and efficiency on context windows up to 1 million tokens, powered by a novel transformer architecture and hybrid attention mechanisms. This enables faster inference and expanded memory for processing large volumes of enterprise data, critical for scaling AI agents.

ToxicityPrompts/PolyGuard-Qwen is a Hugging Face model with tags including safetensors, qwen2, text2text-generation, conversational.

Skyfall 36B v2 is an enhanced iteration of Mistral Small 2501, specifically fine-tuned for improved creativity, nuanced writing, role-playing, and coherent storytelling.

Euryale L3.3 70B is a model focused on creative roleplay from Sao10k. It is the successor of Euryale L3 70B v2.2.