DavidAU/LFM2.5-2.6B-Qwen3.8-Turbo-Brilliance-Power-X12-NEO-MAX-GGUF

text-generation model by DavidAU

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[DavidAU] FOLLOW | ALL MODELS | COLLECTIONS | TRENDING | FAQs | SUPPORT IMPORTANT: This model has significant internal upgrades under user control that are "on the fly" (you set in your prompt(s)). Please read this model card carefully to get the most from it - including all the reasoning and instruct modes (12+12) that feature model suggestions ("context help") for all use cases. The Turbo Brilliance system will begin appearing in other model sizes/types shortly (IE: Qwen, Gemma, Mistral, GLM, Llama, etc etc). NOTE: BF16 gguf now avail. The NEXT STEP, (and evolution of Turbo Brilliance) is here (including 15 AI CONSTRUCTS): https://huggingface.co/DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF LFM2.5-2.6B-Qwen3.8-Turbo-Brilliance-Power-X12-NEO-MAX-GGUF The Turbo Brilliance system (12 reasoning and 12 instruct modes) vastly augments the models core performance and includes interactive help system directly connected to the model. This power is switchable "on the fly" directly in chat (in your prompts), api or using VLLM standard keyword…

DavidAU/LFM2.5-2.6B-Qwen3.8-Turbo-Brilliance-Power-X12-NEO-MAX-GGUF on Hugging Face A short preview, not the full document.

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Model overview

DavidAU/LFM2.5-2.6B-Qwen3.8-Turbo-Brilliance-Power-X12-NEO-MAX-GGUF is a text-generation model repository published by DavidAU on Hugging Face. A library was not reported.

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Model facts

Task: text-generation
Library: Not reported
Recent downloads (30 days): 19,351
Cumulative likes: 132
Hugging Face trending score: 51
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-09-17T01:18:13.000Z
Last modified: 2026-10-02T08:06:41.000Z

Compatibility and lineage

Reported languages: ar, zh, en, fr, de, hi, id, it, ja, ko, pl, pt, ru, es, th, vi

Reported base models: LiquidAI/LFM2.5-2.6B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-10-04T06:38:41.811Z. Daily imports are snapshots, not real-time monitoring.

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