symrex/Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V11-dequantized

TEXT GENERATIONPricing:Input $0.4 / Cached $0.07 / Output $4Concurrent Unit Cost:3Model Size:35.1BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 28, 2026Architecture:Transformer Featherless Exclusive Cold

symrex/Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V11-dequantized is a 35.1 billion parameter language model based on the Qwen3.6 architecture, derived from LuffyTheFox's Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V11-GGUF. This model is dequantized and features a 32768-token context length, making it suitable for applications requiring extensive contextual understanding. Its uncensored nature and Genesis-Hermes-V11 fine-tuning suggest a focus on broad and unrestricted text generation capabilities.

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Model Overview

symrex/Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V11-dequantized is a substantial 35.1 billion parameter language model. It is a dequantized version of LuffyTheFox's Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V11-GGUF, indicating a focus on maximizing model fidelity and performance. The model leverages the Qwen3.6 architecture and is designed with a significant context window of 32768 tokens, enabling it to process and generate long-form content while maintaining coherence.

Key Characteristics

  • Base Model: Derived from LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V11-GGUF.
  • Parameter Count: 35.1 billion parameters, offering robust language understanding and generation.
  • Context Length: Supports a 32768-token context window, ideal for complex and lengthy inputs.
  • Dequantized: Provides higher precision compared to quantized versions, potentially leading to improved output quality.
  • Uncensored & Fine-tuned: The "Uncensored-Genesis-Hermes-V11" designation suggests a model optimized for broad, unrestricted, and potentially creative text generation, likely without built-in content filters.

Good for

  • Advanced Text Generation: Suitable for tasks requiring nuanced and extensive text creation.
  • Long-Context Applications: Excels in scenarios where understanding and generating long documents, conversations, or code is crucial.
  • Research and Development: Its dequantized nature and uncensored fine-tuning make it a strong candidate for exploring advanced language model capabilities without inherent content restrictions.

Finetunes
3 models