Rnj-1 is a family of 8B parameter open-weight, dense models trained from scratch by Essential AI, optimized for code and STEM with capabilities on par with SOTA open-weight models.
509.8K Pulls 5 Tags Updated 9 months ago
A fine-tuned version of Deepseek-R1-Distilled-Qwen-1.5B that surpasses the performance of OpenAI’s o1-preview with just 1.5B parameters on popular math evaluations.
1.3M Pulls 5 Tags Updated 1 year ago
11 Pulls 1 Tag Updated 5 months ago
7 Pulls 1 Tag Updated 5 months ago
Next-Gen Sovereign AI Ecosystem - 7 specialized models for Coding, Vision, Reasoning, Edge & RAG. 131K context, 11 Stop Tokens. Native with OpenClaw, VSCode, Cursor, LangChain & 12+ platforms. Forged by NJIRLAH.
2.3M Pulls 7 Tags Updated 4 months ago
The 4th Evolutionary Leap of NJIR.AI Sovereign Intelligence. A closed-ecosystem swarm of 11 proprietary nodes mastering autonomous coding, multilingual logic, edge-compute, and database architecture.
100 Pulls 11 Tags Updated 4 months ago
1 Pull 1 Tag Updated 4 months ago
1 Tag Updated 4 months ago
Ling-3.0-tiny is a lightweight 7.9B-parameter hybrid reasoning MoE with just 1.3B active parameters per token, offering strong reasoning and agentic capabilities at low inference cost.
1,183 Pulls 10 Tags Updated 1 month ago
s1 is a reasoning model finetuned from Qwen2.5-32B-Instruct on just 1,000 examples. It matches o1-preview & exhibits test-time scaling via budget forcing.
558 Pulls 3 Tags Updated 1 year ago
518 Pulls 9 Tags Updated 1 year ago
a reasoning model finetuned from Qwen2.5-32B-Instruct on just 1,000 examples. It matches o1-preview & exhibits test-time scaling via budget forcing. available in [F16, q8_0, q6_K, q4_K_S]
93 Pulls 4 Tags Updated 1 year ago