codex176743/amber-meadow-m2
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
codex176743/amber-meadow-m2 is a 7.6 billion parameter causal language model developed by codex176743. This model is a general-purpose text generator, suitable for a wide range of natural language processing tasks. With a context length of 32768 tokens, it can process and generate longer sequences of text, making it versatile for applications requiring extensive context understanding.
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Model Overview
codex176743/amber-meadow-m2 is a 7.6 billion parameter causal language model. Developed by codex176743, this model is designed for general-purpose text generation and understanding. Its architecture allows it to process and generate human-like text based on the input provided.
Key Capabilities
- Text Generation: Capable of generating coherent and contextually relevant text for various prompts.
- Long Context Handling: Features a substantial context window of 32768 tokens, enabling it to manage and reason over extended passages of text.
- General NLP Tasks: Suitable for a broad spectrum of natural language processing applications, including summarization, question answering, and creative writing.
Good For
- Applications requiring extensive context: Ideal for tasks where understanding and generating long documents or conversations is crucial.
- General text-based AI assistants: Can serve as a foundational model for chatbots, content creation tools, and other language-centric applications.
- Exploratory NLP projects: Its general-purpose nature makes it a flexible choice for experimenting with different language model use cases.