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Model Card on HF 🤗: https://huggingface.co/mlx-community/SmolLM3-3B-4bit
SmolLM3 3B 4bit 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)
SmolLM3 3B 4bit Parameters and Internals
| LLM Name | SmolLM3 3B 4bit |
| Repository 🤗 | https://huggingface.co/mlx-community/SmolLM3-3B-4bit |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 1.7 GB |
| Updated | 2025-09-23 |
| Maintainer | mlx-community |
| Model Type | smollm3 |
| Model Files | |
| Supported Languages | en fr es it pt zh ar ru |
| Quantization Type | 4bit |
| Model Architecture | SmolLM3ForCausalLM |
| License | apache-2.0 |
| Context Length | 65536 |
| Model Max Length | 65536 |
| Transformers Version | 4.54.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|im_end|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to SmolLM3 3B 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SmolLM3 3B Unsloth Bnb 4bit | 64K / 2.1 GB | 132 | 2 |
| SmolLM3 3B 8bit | 64K / 3.3 GB | 94 | 6 |
| ...olLM3 3B Base Unsloth Bnb 4bit | 64K / 2.4 GB | 14 | 2 |
| SmolLM3 3B 3bit | 64K / 1.4 GB | 23 | 2 |
| SmolLM3 3B 128K | 128K / 6.2 GB | 58 | 0 |
| SmolLM3 3B | 64K / 6.2 GB | 80327 | 710 |
| SmolLM3 3B Base | 64K / 6.2 GB | 20398 | 130 |
| SmolLM3 3B | 64K / 6.2 GB | 546 | 6 |
| SmolLM3 3B Base | 64K / 6.2 GB | 79 | 4 |
| EMOTRON 3B | 64K / 6.2 GB | 18 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/SmolLM3-3B-4bit .
Rank the SmolLM3 3B 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124