{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"openrouter-thedrummer-rocinante-12b","slug":"thedrummer-rocinante-12b","name":"TheDrummer: Rocinante 12B","type":"model","url":"https://openrouter.ai/models/thedrummer~rocinante-12b","page_url":"https://unfragile.ai/thedrummer-rocinante-12b","categories":["text-writing"],"tags":["thedrummer","api-access","text"],"pricing":{"model":"paid","free":false,"starting_price":"$1.70e-7 per prompt token"},"status":"active","verified":false},"capabilities":[{"id":"openrouter-thedrummer-rocinante-12b__cap_0","uri":"capability://text.generation.language.narrative.focused.text.generation.with.expressive.vocabulary","name":"narrative-focused text generation with expressive vocabulary","description":"Generates creative prose and storytelling content optimized for narrative coherence and lexical richness. The model uses a 12B parameter architecture fine-tuned on high-quality narrative datasets to produce text with expanded vocabulary selection, varied sentence structures, and enhanced descriptive language. Operates via API inference through OpenRouter's unified endpoint, supporting streaming and batch completion modes.","intents":["Generate engaging story openings and narrative passages with vivid descriptions","Create character dialogue and internal monologues with distinct voice and personality","Expand and enrich existing prose with more expressive word choices and literary devices","Produce creative writing samples for fiction, worldbuilding, or narrative game content"],"best_for":["fiction writers and novelists prototyping narrative ideas","game developers building story-driven experiences and NPC dialogue","content creators producing engaging long-form storytelling","indie authors seeking AI-assisted creative writing tools"],"limitations":["12B parameter size limits reasoning depth compared to 70B+ models — may struggle with complex multi-turn plot logic or intricate worldbuilding constraints","No explicit fine-tuning for technical writing, documentation, or non-narrative domains — optimized specifically for creative prose","Streaming latency depends on OpenRouter infrastructure — typical first-token latency 500-2000ms, completion speed ~50-100 tokens/second","No built-in memory or context persistence across API calls — each request is stateless unless caller manages conversation history","Limited to text-in/text-out — no multimodal image or audio understanding for visual storytelling reference"],"requires":["OpenRouter API key (free tier available with rate limits)","HTTP client or SDK supporting streaming responses (curl, Python requests, Node.js fetch, etc.)","Network connectivity to OpenRouter endpoints","Prompt engineering knowledge for steering narrative tone and style"],"input_types":["plain text prompts","partial prose passages for continuation","story outlines or plot summaries","character descriptions and worldbuilding notes"],"output_types":["narrative prose text","dialogue and character voice","descriptive passages","story continuations and expansions"],"categories":["text-generation-language","creative-writing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-thedrummer-rocinante-12b__cap_1","uri":"capability://text.generation.language.streaming.text.completion.with.real.time.token.delivery","name":"streaming text completion with real-time token delivery","description":"Delivers model outputs via server-sent events (SSE) streaming protocol, enabling real-time token-by-token delivery rather than waiting for full response generation. Integrates with OpenRouter's unified API layer which handles model routing, load balancing, and streaming infrastructure. Supports both streaming and non-streaming completion modes with configurable token limits and sampling parameters.","intents":["Display live text generation in user interfaces with perceived responsiveness","Build interactive writing assistants that show generation in real-time","Implement long-form content generation without blocking on full completion","Create streaming chatbot interfaces that feel responsive to user input"],"best_for":["web application developers building interactive writing tools","chatbot builders needing perceived low-latency responses","content generation platforms requiring real-time user feedback","indie developers with limited infrastructure for managing long-running requests"],"limitations":["Streaming adds complexity to error handling — partial responses may be sent before failure detection, requiring client-side recovery logic","Token-level streaming prevents full-response optimization — cannot revise earlier tokens based on later context, may produce suboptimal phrasing","Network latency becomes visible to users — slow connections show token-by-token delays rather than hiding generation time","Streaming responses cannot be easily cached or reused — each stream is unique and stateful","OpenRouter rate limits apply per-token, not per-request — long streams consume quota faster than batch completions"],"requires":["HTTP client with streaming/SSE support (fetch API with ReadableStream, axios with responseType: 'stream', etc.)","OpenRouter API key with streaming permissions","Client-side buffering logic to handle variable token arrival rates","Proper error handling for stream interruption and timeout scenarios"],"input_types":["text prompts","conversation history in OpenRouter message format","system prompts and role definitions"],"output_types":["streamed text tokens","completion metadata (stop reason, token count estimates)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-thedrummer-rocinante-12b__cap_2","uri":"capability://text.generation.language.multi.turn.conversation.management.with.message.history","name":"multi-turn conversation management with message history","description":"Maintains conversation context through OpenRouter's message-based API format (role/content pairs), enabling multi-turn dialogue where each request includes full conversation history. The model uses this history to maintain narrative consistency, character voice, and thematic coherence across exchanges. Supports system prompts for role-playing and context injection, with configurable token budgets for context window management.","intents":["Build interactive storytelling experiences where the model remembers previous narrative beats","Create character-driven dialogue systems where personality and voice persist across turns","Implement iterative creative writing workflows where users refine and expand prose collaboratively","Develop narrative game systems with consistent world state and character relationships"],"best_for":["game developers building narrative-driven experiences with persistent character voice","interactive fiction platforms requiring multi-turn story generation","creative writing assistants where users iteratively refine generated content","chatbot builders focused on character consistency and narrative depth"],"limitations":["Full history must be sent with each request — conversation length grows linearly with token cost, making long conversations expensive","No built-in conversation persistence — caller must manage history storage and retrieval (database, file system, etc.)","Context window limits (typically 4K-8K tokens for 12B models) constrain maximum conversation length before truncation or summarization required","Model has no explicit memory of previous conversations — each new session starts fresh without cross-session learning","Token counting for history management is approximate — actual token usage may exceed estimates, causing budget overruns"],"requires":["OpenRouter API key","Client-side conversation history management (array of {role, content} objects)","Token counting library or estimation logic to track context window usage","Persistent storage for conversation history if multi-session support needed"],"input_types":["user messages (text)","system prompts (text role definition)","assistant messages (previous model outputs)","conversation history arrays"],"output_types":["assistant messages (text responses)","conversation metadata (token usage, stop reason)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-thedrummer-rocinante-12b__cap_3","uri":"capability://text.generation.language.configurable.sampling.and.generation.parameters","name":"configurable sampling and generation parameters","description":"Exposes fine-grained control over text generation behavior through temperature, top-p (nucleus sampling), top-k, and frequency/presence penalties. These parameters tune the probability distribution over next-token predictions, allowing users to trade off between deterministic output (low temperature) and creative variation (high temperature). Rocinante's narrative training makes it particularly responsive to temperature tuning for controlling prose style intensity.","intents":["Generate multiple creative variations of the same prompt for comparison and selection","Produce deterministic, consistent output for reproducible storytelling scenarios","Fine-tune the balance between creativity and coherence for different narrative contexts","Reduce repetition and hallucination through penalty parameters in long-form generation"],"best_for":["creative writers exploring multiple narrative directions from a single prompt","game developers needing both deterministic NPC dialogue and creative variation","content platforms requiring quality control through parameter tuning","researchers studying model behavior across different sampling strategies"],"limitations":["Parameter tuning is empirical and non-intuitive — optimal settings vary by prompt and use case, requiring trial-and-error","High temperature (>1.0) increases hallucination and incoherence risk, especially for plot-critical narrative","Frequency penalties can suppress legitimate word repetition needed for emphasis or stylistic effect","No automatic parameter optimization — users must manually adjust and test combinations","Parameter effects are model-specific — settings optimal for Rocinante may not transfer to other models"],"requires":["OpenRouter API key","Understanding of sampling parameter semantics (temperature, top-p, top-k ranges)","Iterative testing framework to evaluate parameter impact on output quality"],"input_types":["text prompts","parameter configuration objects (temperature: 0.0-2.0, top_p: 0.0-1.0, etc.)"],"output_types":["generated text with varied creativity/determinism based on parameters","generation metadata (final temperature applied, sampling method used)"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-thedrummer-rocinante-12b__cap_4","uri":"capability://tool.use.integration.api.based.model.access.with.provider.abstraction","name":"api-based model access with provider abstraction","description":"Provides access to Rocinante 12B through OpenRouter's unified API layer, which abstracts away direct model hosting, authentication, and infrastructure management. Requests route through OpenRouter's load balancer to available inference endpoints, with automatic failover and rate limiting. Supports standard HTTP REST API with JSON request/response format, compatible with any HTTP client library.","intents":["Access Rocinante without managing GPU infrastructure or model deployment","Integrate Rocinante into applications without vendor lock-in to a single provider","Scale inference across multiple endpoints transparently through OpenRouter routing","Prototype and test Rocinante before committing to dedicated infrastructure"],"best_for":["indie developers and small teams without ML infrastructure expertise","startups prototyping AI features before building custom infrastructure","applications requiring multi-model support with unified API","developers wanting to avoid vendor lock-in through provider abstraction"],"limitations":["API latency depends on OpenRouter infrastructure — typically 500-2000ms first-token latency, slower than local inference","Per-token pricing accumulates quickly for high-volume applications — cost scales linearly with usage without economies of scale","Rate limits and quota management add complexity — must implement backoff and retry logic for production reliability","No direct model control — cannot modify model weights, quantization, or inference parameters beyond sampling controls","Data privacy concerns — all requests and responses pass through OpenRouter servers, unsuitable for sensitive/proprietary content"],"requires":["OpenRouter API key (obtain from openrouter.ai account)","HTTP client library (curl, Python requests, Node.js fetch, etc.)","Network connectivity to OpenRouter endpoints","Billing account with payment method for usage beyond free tier"],"input_types":["HTTP POST requests with JSON payload","OpenRouter message format (role/content pairs)","system prompts and generation parameters"],"output_types":["JSON response with generated text","streaming SSE events (if streaming enabled)","usage metadata (prompt tokens, completion tokens, cost)"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-thedrummer-rocinante-12b__cap_5","uri":"capability://text.generation.language.narrative.continuation.and.story.expansion","name":"narrative continuation and story expansion","description":"Generates coherent continuations of partial narratives by understanding plot context, character voice, and thematic elements from provided text. The model leverages its narrative fine-tuning to maintain consistency with established story elements, predict plausible next events, and extend prose with matching tone and vocabulary. Works by encoding the partial narrative as context and sampling likely continuations from the learned narrative distribution.","intents":["Continue unfinished stories or chapters with consistent voice and plot progression","Expand brief story outlines into full narrative prose","Generate alternative story branches from a given narrative point","Extend dialogue exchanges with character-consistent responses"],"best_for":["fiction writers experiencing writer's block seeking continuation suggestions","interactive fiction platforms generating story branches dynamically","game developers expanding narrative content without manual authoring","creative writing tools providing real-time story expansion"],"limitations":["Continuation quality depends heavily on context quality — vague or inconsistent setup produces incoherent continuations","Model cannot guarantee plot coherence with distant narrative elements — may contradict earlier story details not in immediate context","Continuations may feel formulaic or predictable if the setup is generic — model learns common narrative patterns which can produce clichéd outcomes","Long continuations (>500 tokens) risk degradation as generation distance increases from the original context","No explicit constraint satisfaction — cannot guarantee specific plot points or character actions will occur in continuation"],"requires":["OpenRouter API key","Partial narrative text (minimum ~100 tokens for coherent context)","Clear narrative setup with established characters, setting, or plot elements","Iterative refinement process to select best continuations from multiple samples"],"input_types":["partial narrative text","story outlines or plot summaries","character descriptions and voice samples","system prompts defining narrative constraints"],"output_types":["narrative continuation text","multiple alternative continuations (via sampling)","extended prose matching original style"],"categories":["text-generation-language","creative-writing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"high","permissions":["OpenRouter API key (free tier available with rate limits)","HTTP client or SDK supporting streaming responses (curl, Python requests, Node.js fetch, etc.)","Network connectivity to OpenRouter endpoints","Prompt engineering knowledge for steering narrative tone and style","HTTP client with streaming/SSE support (fetch API with ReadableStream, axios with responseType: 'stream', etc.)","OpenRouter API key with streaming permissions","Client-side buffering logic to handle variable token arrival rates","Proper error handling for stream interruption and timeout scenarios","OpenRouter API key","Client-side conversation history management (array of {role, content} objects)"],"failure_modes":["12B parameter size limits reasoning depth compared to 70B+ models — may struggle with complex multi-turn plot logic or intricate worldbuilding constraints","No explicit fine-tuning for technical writing, documentation, or non-narrative domains — optimized specifically for creative prose","Streaming latency depends on OpenRouter infrastructure — typical first-token latency 500-2000ms, completion speed ~50-100 tokens/second","No built-in memory or context persistence across API calls — each request is stateless unless caller manages conversation history","Limited to text-in/text-out — no multimodal image or audio understanding for visual storytelling reference","Streaming adds complexity to error handling — partial responses may be sent before failure detection, requiring client-side recovery logic","Token-level streaming prevents full-response optimization — cannot revise earlier tokens based on later context, may produce suboptimal phrasing","Network latency becomes visible to users — slow connections show token-by-token delays rather than hiding generation time","Streaming responses cannot be easily cached or reused — each stream is unique and stateful","OpenRouter rate limits apply per-token, not per-request — long streams consume quota faster than batch completions","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.37,"ecosystem":0.24,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.35,"quality":0.2,"ecosystem":0.1,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:25.059Z","last_scraped_at":"2026-05-03T15:20:45.776Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=thedrummer-rocinante-12b","compare_url":"https://unfragile.ai/compare?artifact=thedrummer-rocinante-12b"}},"signature":"xEsbFumaLVqSMEp0OvnSlzReXZhLUfPOEyDriWed7o9nXo8kin7uW2uik6l5HnGMAMR+JLCRXDBkUkmuPKjkAw==","signedAt":"2026-06-20T08:41:26.822Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/thedrummer-rocinante-12b","artifact":"https://unfragile.ai/thedrummer-rocinante-12b","verify":"https://unfragile.ai/api/v1/verify?slug=thedrummer-rocinante-12b","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}