Text / tencent
WeMM Embedding 2B
WeMM Embedding 2B from tencent. Source-based hardware guidance from its published configuration.
EstimatedRepository opened Aug 25, 2026Source checked 9/23/2026Version: bbd6cd4b
LOCALRENTED GPUOPEN WEIGHTS
At a glance
- Parameters
- 2.72B
- Architecture
- qwen3_5
- License
- apache-2.0
- Software
- SGLang, vLLM
Will it run on your machine?
Save your machine to see a personalized rating and its reasoning.
Add my hardwareWays to run it
SGLang · Linux
Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.
python -m sglang.launch_server --model-path "$MODEL_PATH" --is-embedding --enable-precise-embedding-interpolationvLLM · Linux
Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.
vllm serve "$MODEL_PATH" --runner pooling --chat-template "$MODEL_PATH/embedding_chat_template.jinja"Explore its uses
SAFETENSORS
Keep exploring
Text
Prism MLBonsai 2 · 27B
A compressed 27B-class reasoning model with publisher-provided GGUF packs and a dedicated llama.cpp fork for CUDA, Metal, and CPU.
MODEL SIZE27.36B
Text
DeepSeekDeepSeek V4.1 Flash
A multimodal reasoning model with a compressed key-value cache, published as open weights.
Text
QwenQwen3.8-Flash-Next
An experimental open-weight multimodal model with sparse attention and 262K native context.
MODEL SIZE125B language · 6B active