ml-resources/ERNIE-5.5-Flash-Base
text-generation model by ml-resources
From the publisher
Model card & documentation
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ERNIE 5.5 Flash is an efficient sparse Mixture-of-Experts (MoE) language model with 280B total parameters and 14B activated per token, pre-trained from scratch on 33.5T tokens with a training context of up to 128K; fine-tuning and inference support a 1M-token context. Different domains, reasoning tasks and agentic applications call for different data, training objectives and behavioral policies; by releasing the weights at the end of pre-training, we let developers build on the model's general capabilities and choose for themselves where to take it next. Because further training and agentic use keep adding to compute and memory cost, we made efficiency a key design goal from the start, revisiting each component, from attention and residual connections to the MoE layers and the output head, and treating activated compute, KV cache and long-context cost as part of one overall design. The same long-term view shaped the data and the training system: pre-training…
Read the full model card ↗ · Preview checked 2026-11-05T08:02:24.394Z
Inside the original model card — Document outline
- ERNIE-5.5-Flash-Base
- Introduction
- Model Downloads
- ERNIE 5.5 Flash Highlights
- Model Overview
- Evaluation
- Deployment
- SGLang
- vLLM
- Send Requests
- License
- Citation
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Model overview
ml-resources/ERNIE-5.5-Flash-Base is a text-generation model repository published by ml-resources on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 286,245,697,882
- Architecture
- Ernie5_5_MoeForCausalLM
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-11-05T06:32:34.000Z
- Last modified
- 2026-11-05T06:32:34.000Z
Compatibility and lineage
Reported languages: en, zh
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-05T06:53:23.390Z. Daily imports are snapshots, not real-time monitoring.
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