Zaynoid/EB-Q35-9B-v2
VISIONConcurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 17, 2026License:apache-2.0Architecture:Transformer Open Weights Gated Featherless Exclusive Cold
Zaynoid/EB-Q35-9B-v2 is a gated causal language model developed by Zaynoid. This model is accessible by request and can be loaded using the Hugging Face Transformers library for causal language modeling tasks. Its specific parameter count and context length are not publicly detailed, but it is designed for general-purpose language generation and understanding.
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Overview
Zaynoid/EB-Q35-9B-v2 is a causal language model developed by Zaynoid. This model is distributed as a gated checkpoint, meaning access is granted upon request. It is designed for various natural language processing tasks that involve generating text based on a given prompt.
Key Capabilities
- Causal Language Modeling: The model is structured to predict the next token in a sequence, making it suitable for text generation, completion, and similar tasks.
- Hugging Face Transformers Integration: It is fully compatible with the Hugging Face Transformers library, allowing for straightforward loading and utilization with standard
AutoModelForCausalLMandAutoTokenizerclasses.
Usage Considerations
- Gated Access: Developers interested in using EB-Q35-9B-v2 must request access to the model checkpoint.
- Standard Deployment: Once access is granted, the model can be loaded and run using common PyTorch configurations, including
bfloat16precision and automatic device mapping for efficient inference.