Blackfrost-AI/PINQWEN-3.5-9B-1M-BF16
PINQWEN-3.5-9B-1M-BF16 is a 9 billion parameter reasoning model from Blackfrost AI, built on the Qwen 3.5 9B architecture. It features an exceptional 1,000,000-token context window and a native chain-of-thought reasoning process. This uncensored, multimodal model excels at general reasoning, coding assistance, and technical Q&A, supporting both text and image inputs.
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PINQWEN-3.5-9B-1M: A Compact, Long-Context Reasoning Model
PINQWEN-3.5-9B-1M is Blackfrost AI's 9 billion parameter model, distilled using their multi-teacher reasoning-distillation method, The Void, on the Qwen 3.5 9B architecture. This model is designed to reason transparently using a native <think> block before generating answers, and it operates with an impressive 1,000,000-token context window, making it suitable for handling extensive inputs.
Key Capabilities
- 1,000,000-token context: Processes entire codebases, books, or long chat logs efficiently, leveraging a YaRN-extended window on a gated-linear-attention hybrid backbone.
- Uncensored: Provides direct answers without the reflexive refusals common in over-aligned models, allowing users to define its operational scope.
- Transparent Reasoning: Employs an inspectable
<think>...<think>chain-of-thought, distilled from frontier teachers, for clear and readable reasoning. - Coding and Technical Proficiency: Tuned for software engineering tasks, step-by-step problem-solving, and precise technical explanations.
- Multimodal Vision: Includes a full vision encoder, enabling it to process both text and image inputs.
- Versatile Deployment: Available in BF16 (reference precision), NVFP4 (for NVIDIA Blackwell), and GGUF (for
llama.cpp/ local inference with a full quantization ladder and MTP speculative-decode head).
Intended Use Cases
- General reasoning and problem-solving.
- Coding assistance and technical Q&A.
- Understanding ultra-long documents and entire codebases.
- Multimodal applications involving both image and text inputs.