MODEL / DEEPSEEK
DeepSeek V4 Flash
The 176 GB memory figure is an estimate for the mixed-precision checkpoint. Thirteen billion active parameters do not mean 13 GB of storage.
Birincil kaynakToplam parametre284B13B active / token
Tahmini bellek~176 GBOfficial FP4 + FP8 mixed
Bağlam1M nativeText
LicenseMITMultilingual
01 / EN IYI KULLANIM
- long-context agents
- coding
- reasoning
02 / TAHMINI UYUM
03 / ŞUNUNLA ÇALIŞTIR
These are runtime examples, not validated installation recipes. Fit estimates assume quantized files; official repositories may hold full-precision weights. MLX, GGUF and TensorRT require matching conversions or engines.
vLLMAdvanced
vllm serve deepseek-ai/DeepSeek-V4-Flash --dtype autollama.cppMedium
llama-server -m /path/to/verified-model.gguf --port 9931LM StudioEasy
Search “deepseek-ai/DeepSeek-V4-Flash” → Load a Q4/INT4 build → Start ServerSGLangAdvanced
python3 -m sglang.launch_server --model-path deepseek-ai/DeepSeek-V4-Flash --port 30000Dikkat
The 176 GB memory figure is an estimate for the mixed-precision checkpoint. Thirteen billion active parameters do not mean 13 GB of storage.