jdopensource / JoyAI-LLM-Flash-Base

huggingface.co
Total runs: 106
24-hour runs: 0
7-day runs: 7
30-day runs: 53
Model's Last Updated: February 15 2026
text-generation

Introduction of JoyAI-LLM-Flash-Base

Model Details of JoyAI-LLM-Flash-Base

JoyAI-LLM Flash-Base

1. Model Introduction

JoyAI-LLM Flash-Base is a state-of-the-art mixture-of-experts (MoE) language model with 3 billion activated parameters and 48 billion total parameters. Trained with the Muon optimizer, JoyAI Flash-base achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities. JoyAI-LLM Flash series aim to accelarate high-throughput, latency-sensitive applications where cost per query must remain minimal.

Key Features
  • Training-Inference Collaboration: apply Muon optimizer with dense MTP, develop novel optimization techniques to resolve instabilities while scaling up, delivering 1.3× to 1.7× the throughput of the non-MTP version.
  • Agentic Intelligence: Specifically designed for tool use, reasoning, and autonomous problem-solving.
2. Model Summary
Architecture Mixture-of-Experts (MoE)
Total Parameters 48B
Activated Parameters 3B
Number of Layers (Dense layer included) 40
Number of Dense Layers 1
Attention Hidden Dimension 2048
MoE Hidden Dimension (per Expert) 768
Number of Attention Heads 32
Number of Experts 256
Selected Experts per Token 8
Number of Shared Experts 1
Vocabulary Size 129K
Context Length 128K
Attention Mechanism MLA
Activation Function SwiGLU
3. Evaluation Results
Benchmark JoyAI-LLM Flash-base Qwen3-30B-A3B-base
MMLU 84.70 82.12
MMLU-Pro 73.14 61.76
CMMLU 83.09 83.60
HumanEval 85.37 87.80
LiveCodeBench 39.91 37.34
GSM8K 88.78 90.37
MATH 78.16 59.60
MATH 500 77.00 58.00
4. License

Both the code repository and the model weights are released under the Modified MIT License .

Runs of jdopensource JoyAI-LLM-Flash-Base on huggingface.co

106
Total runs
0
24-hour runs
0
3-day runs
7
7-day runs
53
30-day runs

More Information About JoyAI-LLM-Flash-Base huggingface.co Model

JoyAI-LLM-Flash-Base huggingface.co

JoyAI-LLM-Flash-Base huggingface.co is an AI model on huggingface.co that provides JoyAI-LLM-Flash-Base's model effect (), which can be used instantly with this jdopensource JoyAI-LLM-Flash-Base model. huggingface.co supports a free trial of the JoyAI-LLM-Flash-Base model, and also provides paid use of the JoyAI-LLM-Flash-Base. Support call JoyAI-LLM-Flash-Base model through api, including Node.js, Python, http.

JoyAI-LLM-Flash-Base huggingface.co Url

https://huggingface.co/jdopensource/JoyAI-LLM-Flash-Base

jdopensource JoyAI-LLM-Flash-Base online free

JoyAI-LLM-Flash-Base huggingface.co is an online trial and call api platform, which integrates JoyAI-LLM-Flash-Base's modeling effects, including api services, and provides a free online trial of JoyAI-LLM-Flash-Base, you can try JoyAI-LLM-Flash-Base online for free by clicking the link below.

jdopensource JoyAI-LLM-Flash-Base online free url in huggingface.co:

https://huggingface.co/jdopensource/JoyAI-LLM-Flash-Base

JoyAI-LLM-Flash-Base install

JoyAI-LLM-Flash-Base is an open source model from GitHub that offers a free installation service, and any user can find JoyAI-LLM-Flash-Base on GitHub to install. At the same time, huggingface.co provides the effect of JoyAI-LLM-Flash-Base install, users can directly use JoyAI-LLM-Flash-Base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

JoyAI-LLM-Flash-Base install url in huggingface.co:

https://huggingface.co/jdopensource/JoyAI-LLM-Flash-Base

Url of JoyAI-LLM-Flash-Base

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