Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Qwen3 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/willcb/Qwen3-0.6B
Qwen3 0.6B Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Qwen3 0.6B Parameters and Internals
| LLM Name | Qwen3 0.6B |
| Repository 🤗 | https://huggingface.co/willcb/Qwen3-0.6B |
| Model Size | 0.6b |
| Required VRAM | 1.2 GB |
| Updated | 2025-09-23 |
| Maintainer | willcb |
| Model Type | qwen3 |
| Model Files | |
| Model Architecture | Qwen3ForCausalLM |
| Context Length | 40960 |
| Model Max Length | 40960 |
| Transformers Version | 4.52.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen3 0.6B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3 Reranker 0.6B | 40K / 1.2 GB | 203562 | 231 |
| Qwen3 0.6B FP8 | 40K / 1.1 GB | 45466 | 48 |
| Qwen3 0.6B | 40K / 1.2 GB | 18554 | 14 |
| OuteTTS 1.0 0.6B | 40K / 1.2 GB | 1794 | 90 |
| Kimina Prover Distill 0.6B | 40K / 1.5 GB | 1344 | 1 |
| Anonymizer 0.6B | 40K / 1.2 GB | 194 | 2 |
| Luth 0.6B Instruct | 40K / 1.2 GB | 242 | 9 |
| RStar Coder Qwen3 0.6B | 40K / 1.2 GB | 173 | 7 |
| Qwen3 0.6B MLX Bf16 | 40K / 1.2 GB | 1497 | 5 |
| PARD Qwen3 0.6B | 40K / 1.5 GB | 388 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than willcb/Qwen3-0.6B .
Rank the Qwen3 0.6B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124