ERNIE 5.5 Flash Base BF16
ERNIE 5.5 Flash Base BF16 is an open-weights language model from Baidu, released October 21, 2026. It has 286B parameters (mixture-of-experts, 2.9B active). The context window is 1M tokens.
Check it against your own PC →
Can you run ERNIE 5.5 Flash Base BF16 locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Too large | – | – | – | – |
| 8 GB VRAM | Too large | – | – | – | – |
| 12 GB VRAM | Too large | – | – | – | – |
| 16 GB VRAM | Too large | – | – | – | – |
| 24 GB VRAM | Too large | – | – | – | – |
| 32 GB VRAM | Too large | – | – | – | – |
Ready-made quantizations on Hugging Face: orcarouter/ERNIE-5.5-Flash-Base-abliterated-GGUF · orcarouter/ERNIE-5.5-Flash-Base-abliterated-MLX
Benchmark results
Epoch AI has not published results for ERNIE 5.5 Flash Base BF16 yet. New models are usually evaluated within days to weeks.
Links
Hugging Face: baidu/ERNIE-5.5-Flash-Base-BF16
More from Baidu
ERNIE 5.5 Flash Base · ERNIE 5.1 · ERNIE-4.5-VL-28B-A3B · ERNIE-4.5-300B-A47B · ERNIE-4.5-21B-A3B · ERNIE-4.5-0.3B