Tngtech Deepseek R1T Chimera features MoE architecture and 164k-token context window. DeepSeek-R1T-Chimera is created by merging DeepSeek-R1 and DeepSeek-V3 (0324), combining the reasoning capabilities of R1 with the token efficiency improvements of V3. It is based on a DeepSeek-MoE Transformer architecture and is optimised for general text generation tasks. The model merges pretrained weights from both source models to balance performance across reasoning, efficiency, and instruction-following tasks. It is released under the MIT license and intended for research and commercial use. Available at $0.3/1M tokens.
Visit TNG: DeepSeek R1T ChimeraAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Tngtech Model Timeline
164k tokens context
164k tokens context
164k tokens context
164k tokens context
164k tokens context
164k tokens context
Specifications
AI Evaluation
Combines language understanding with search capabilities. Excels at finding and synthesizing information from various sources.
Pros
- 164k token context window
- Advanced logical reasoning
- Built-in search capabilities
- Optimized for RAG workflows
Cons
- API integration required
- May need prompt tuning
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