AI Model2026
Provides locally runnable GGUF builds of DeepSeek-V4.1-Flash-1017 with mixed-precision options for different memory budgets. Its refusal behavior is substantially reduced, making it suitable only for controlled safety research and red-team evaluation.
AI Model2026
Runs local agents, tool calls, and structured-output tasks with a 256K-token context window. At 4-bit precision it uses about 1 GB of memory, and it can be fine-tuned for specialized domains on a single GPU.
AI Model2026
Runs local conversational and agent-style assistants with improved multi-turn tool use and instruction following. Its Q4_K_M release targets roughly 4GB workloads and supports up to a 64K-token context.
AI Model2026
Provides non-uniform GGUF quantizations of DeepSeek-V4.1-Flash-1017, using GSQ and RCO to allocate precision per tensor under a size budget. The IQ2_XXS build matches the base model on the three reported benchmarks.