Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-1.7B
Qwen3 1.7B 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 1.7B Parameters and Internals
| LLM Name | Qwen3 1.7B |
| Repository 🤗 | https://huggingface.co/unsloth/Qwen3-1.7B |
| Base Model(s) | |
| Model Size | 1.7b |
| Required VRAM | 3.4 GB |
| Updated | 2025-09-11 |
| Maintainer | unsloth |
| Model Type | qwen3 |
| Model Files | |
| Model Architecture | Qwen3ForCausalLM |
| Context Length | 40960 |
| Model Max Length | 40960 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen3 1.7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Lucy 128K | 128K / 3.4 GB | 1556 | 106 |
| Polaris 1.7B Preview | 128K / 3.4 GB | 114 | 7 |
| Qwen3 1.7B | 40K / 4 GB | 926051 | 249 |
| Jan V1 Edge | 40K / 3.4 GB | 187 | 31 |
| Smoothie Qwen3 1.7B | 40K / 3.4 GB | 69429 | 1 |
| Lucy | 40K / 3.4 GB | 273 | 62 |
| Luth 1.7B Instruct | 40K / 3.4 GB | 520 | 10 |
| Kimina Prover Distill 1.7B | 40K / 4.1 GB | 2416 | 8 |
| Qwen3 1.7B | 40K / 3.4 GB | 3993 | 3 |
| FluentlyQwen3 1.7B | 40K / 4.1 GB | 32 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-1.7B .
Rank the Qwen3 1.7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124