LLM Name | Qwen3 Embedding 0.6B |
Repository ๐ค | https://huggingface.co/Qwen/Qwen3-Embedding-0.6B |
Base Model(s) | |
Model Size | 0.6b |
Required VRAM | 1.2 GB |
Updated | 2025-06-11 |
Maintainer | Qwen |
Model Type | qwen3 |
Model Files | |
Model Architecture | Qwen3ForCausalLM |
License | apache-2.0 |
Context Length | 32768 |
Model Max Length | 32768 |
Transformers Version | 4.51.3 |
Tokenizer Class | Qwen2Tokenizer |
Padding Token | <|endoftext|> |
Vocabulary Size | 151669 |
Torch Data Type | bfloat16 |
Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Qwen3 Reranker 0.6B | 40K / 1.2 GB | 10868 | 91 |
OuteTTS 1.0 0.6B | 40K / 1.2 GB | 3691 | 83 |
Qwen3 0.6B FP8 | 40K / 1.1 GB | 5160 | 45 |
Qwen3 0.6B | 40K / 1.2 GB | 20405 | 7 |
Qwen3 0.6B Bf16 | 40K / 1.2 GB | 2276 | 5 |
Qwen3 0.6B Medical Expert | 40K / 1.2 GB | 1033 | 3 |
Qwen3 0.6B Abliterated | 40K / 1.2 GB | 936 | 6 |
Smoothie Qwen3 0.6B | 40K / 1.2 GB | 1064 | 1 |
...fied Qwen3 0.6B Abliterated V1 | 40K / 1.2 GB | 922 | 3 |
SFT DART | 40K / 1.2 GB | 55 | 0 |
๐ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐