codex176743/cedar-lantern-p4
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 27, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
codex176743/cedar-lantern-p4 is a 7.6 billion parameter causal language model developed by codex176743. This model features a context length of 32768 tokens, making it suitable for processing extensive inputs. As a general-purpose causal LM, it is designed for a wide range of text generation and understanding tasks.
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Model Overview
codex176743/cedar-lantern-p4 is a causal language model with 7.6 billion parameters, developed by codex176743. It is designed for various natural language processing tasks, leveraging its substantial parameter count to generate coherent and contextually relevant text.
Key Capabilities
- Causal Language Modeling: Generates text sequentially, predicting the next token based on previous ones.
- Extended Context Window: Supports a context length of 32768 tokens, allowing for the processing and generation of longer sequences of text.
Good For
- General Text Generation: Suitable for tasks such as content creation, summarization, and dialogue generation.
- Research and Development: Provides a robust base model for further fine-tuning or experimentation in various NLP domains.