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tngtech의 파비콘

TNG: DeepSeek R1T2 Chimera

tngtech/deepseek-r1t2-chimera

모델 가중치

DeepSeek-TNG-R1T2-Chimera is the second-generation Chimera model from TNG Tech. It is a 671 B-parameter mixture-of-experts text-generation model assembled from DeepSeek-AI’s R1-0528, R1, and V3-0324 checkpoints with an Assembly-of-Experts merge. The tri-parent design yields strong reasoning performance while running roughly 20 % faster than the original R1 and more than 2× faster than R1-0528 under vLLM, giving a favorable cost-to-intelligence trade-off. The checkpoint supports contexts up to 60 k tokens in standard use (tested to ~130 k) and maintains consistent <think> token behaviour, making it suitable for long-context analysis, dialogue and other open-ended generation tasks.

모달리티
컨텍스트
164K
출시일
2025년 7월 8일
지식 기준일
2024년 7월
활동자주 묻는 질문탐색

활동

시간에 따른 이 모델의 토큰 사용량 및 요청 트래픽.

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더 많은 모델 탐색

AI 모델 순위순위

자주 묻는 질문

DeepSeek-TNG-R1T2-Chimera is the second-generation Chimera model from TNG Tech. It is a 671 B-parameter mixture-of-experts text-generation model assembled from DeepSeek-AI’s R1-0528, R1, and V3-0324 checkpoints with an Assembly-of-Experts merge.

DeepSeek R1T2 Chimera의 컨텍스트 윈도우는 163,840토큰입니다.

DeepSeek R1T2 Chimera의 출시일은 2025년 7월 8일입니다. 지식 기준일은 2024년 7월 31일입니다.

다음 제작사의 다른 모델: tngtech

R1T Chimera

TNG-R1T-Chimera is an experimental LLM with a faible for creative storytelling and character interaction. It is a derivate of the original TNG/DeepSeek-R1T-Chimera released in April 2025 and is available exclusively via Chutes and OpenRouter.

Characteristics and improvements include:

We think that it has a creative and pleasant personality. It has a preliminary EQ-Bench3 value of about 1305. It is quite a bit more intelligent than the original, albeit a slightly slower. It is much more think-token consistent, i.e. reasoning and answer blocks are properly delineated. Tool calling is much improved.

TNG Tech, the model authors, ask that users follow the careful guidelines that Microsoft has created for their "MAI-DS-R1" DeepSeek-based model. These guidelines are available on Hugging Face (https://huggingface.co/microsoft/MAI-DS-R1).

텍스트164K 컨텍스트
DeepSeek R1T Chimera

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 optimized 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.

텍스트164K 컨텍스트