eridai/erida-Inari-50125
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.8BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Oct 1, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Warm
The eridai/erida-Inari-50125 model, developed by eridai, is a causal language model designed for conversational AI in Russian. It features a unique 'thinking mode' (enable_thinking) that allows it to process prompts with an internal reasoning step before generating a response. This model is particularly suited for creating helpful and context-aware assistants capable of nuanced interactions in Russian.
Loading preview...
eridai/erida-Inari-50125: A Russian Conversational AI with "Thinking Mode"
The eridai/erida-Inari-50125 model is a specialized causal language model developed by eridai, primarily designed for generating human-like text in Russian. Its standout feature is the enable_thinking mode, which allows the model to simulate an internal thought process before formulating a response.
Key Capabilities
- Advanced Conversational AI: Excels at generating coherent and contextually relevant responses in Russian.
- "Thinking Mode" (
enable_thinking): This unique feature enables the model to perform an internal reasoning step, analyzing the user's prompt and planning its response. This can lead to more thoughtful and nuanced answers, as demonstrated by the example where the model considers potential user intent and clarifies its approach. - Role-playing as a Helpful Assistant: The provided code example configures the model to act as a "friendly assistant" (
доброжелательный ассистент), indicating its suitability for customer service, informational queries, and general conversational tasks. - Customizable Generation Parameters: Supports standard generation parameters like
max_new_tokens,temperature,repetition_penalty, anddo_samplefor fine-tuning output style and creativity.
Good For
- Developing Russian-speaking chatbots and virtual assistants that require more sophisticated reasoning.
- Applications needing context-aware and thoughtful responses rather than direct, unreflective answers.
- Exploring advanced conversational AI techniques with an emphasis on internal processing and planning.