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tngtech 的网站图标

Tngtech

访问 3 Tngtech 个模型 ,可使用 OpenRouter 统一 API 包括 R1T Chimera、DeepSeek R1T2 Chimera 和 DeepSeek R1T Chimera。 比较定价、上下文窗口、基准测试和能力,涵盖不同的 Tngtech 模型。

Tngtech 已发出的请求 在 OpenRouter 上

暂时没有足够的数据可供显示。

  • tngtech 的网站图标
    TNG: R1T ChimeraR1T 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).

    作者: tngtech2025年11月26日164K 上下文
  • tngtech 的网站图标
    TNG: DeepSeek R1T2 ChimeraDeepSeek R1T2 Chimera

    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.

    作者: tngtech2025年7月8日164K 上下文
  • tngtech 的网站图标
    TNG: DeepSeek R1T ChimeraDeepSeek 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.

    作者: tngtech2025年4月27日164K 上下文

常见问题

OpenRouter 通过统一的兼容 OpenAI 的 API 提供 3 个 Tngtech 模型。创建 OpenRouter API 密钥,将客户端指向 https://openrouter.ai/api/v1,并将模型设置为 tngtech/tng-r1t-chimera 这样的 ID。快速入门提供了所有受支持 SDK 的请求示例。

在 OpenRouter 上的所有 Tngtech 模型中,R1T Chimera 的上下文窗口最大,每次请求最多接受 163,840 个 token。

R1T Chimera 是 OpenRouter 上最近添加的 Tngtech 模型,于 2025年11月26日 上架。