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gladness    
n. 欢乐,欢喜,喜悦

欢乐,欢喜,喜悦

gladness
n 1: experiencing joy and pleasure [synonym: {gladness},
{gladfulness}, {gladsomeness}]

Gladness \Glad"ness\, n. [AS. gl[ae]dnes.]
State or quality of being glad; pleasure; joyful
satisfaction; cheerfulness.
[1913 Webster]

They . . . did eat their meat with gladness and
singleness of heart. --Acts ii. 46.
[1913 Webster]

Note: Gladness is rarely or never equivalent to mirth,
merriment, gayety, and triumph, and it usually
expresses less than delight. It sometimes expresses
great joy.
[1913 Webster]

The Jews had joy and gladness, a feast and a good
day. --Esther viii.
17.
[1913 Webster]


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英文字典中文字典相关资料:


  • Qwen Qwen3. 5-122B-A10B · Hugging Face
    Qwen3 5 features the following enhancement: Unified Vision-Language Foundation: Early fusion training on multimodal tokens achieves cross-generational parity with Qwen3 and outperforms Qwen3-VL models across reasoning, coding, agents, and visual understanding benchmarks
  • unsloth Qwen3. 5-122B-A10B-GGUF · Hugging Face
    See our new benchmarks for 122B-A10B here Please follow the correct instructions settings in our guide here You can also fine-tune and perform reinforcement learning (RL) on all Qwen3 5 models with Unsloth via our free Colab notebooks Read our Qwen3 5 fine-tuning guide for tips, VRAM requirements, code and more here
  • Qwen Qwen3. 5-122B-A10B
    How to deploy Qwen3 5-122B-A10B on Lambda: 122B MoE model requiring 4x B200 or 8x H100 Get SGLang vLLM setup, VRAM requirements, and throughput benchmarks
  • qwen3. 5:122b-a10b
    Qwen 3 5 is a family of open-source multimodal models that delivers exceptional utility and performance
  • qwen qwen3-5-122b-a10b
    Qwen3 5-122B-A10B is a multimodal vision-language Mixture-of-Experts model designed for native multimodal agent applications, supporting text, image, and video inputs
  • qwen3. 5-122b-a10b Model by Qwen | NVIDIA NIM
    Start building with a free API endpoint AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate, harmful, biased or indecent By testing this model, you assume the risk of any harm caused by any response or output of the model
  • Qwen3. 5-122B-A10B: Specifications and GPU VRAM Requirements
    Qwen3 5-122B-A10B is Alibaba Cloud's mid-tier multimodal foundation model, released February 2026 With 122B total parameters and 10B activated through a Mixture-of-Experts architecture (256 experts), it balances high performance with computational efficiency
  • Qwen Qwen3. 5-122B-A10B | vLLM Recipes
    Qwen3 5-122B-A10B is a mid-tier member of the Qwen3 5 family, sharing the gated delta networks MoE architecture with 122B total parameters and 10B activated per token (256 experts)
  • GitHub - albond DGX_Spark_Qwen3. 5-122B-A10B-AR-INT4: Qwen3. 5-122B-A10B . . .
    Qwen3 5-122B-A10B on DGX Spark: 28 3 → 52 tok s (+82%) Optimizations for Qwen3 5-122B-A10B inference on a single NVIDIA DGX Spark from 28 3 to 52 tok s (+82%), with 256K context support, no quality degradation
  • Qwen3. 5-122B-A10B Benchmarks 2026: Scores, Rankings Performance
    Qwen3 5-122B-A10B is a open weight model with a 262K token context window It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage





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