SmollerLM 63M Instruct Base is an open-source language model by mehmetkeremturkcan. Features: 63m LLM, VRAM: 0.1GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.
Model Card on HF 🤗: https://huggingface.co/mehmetkeremturkcan/SmollerLM-63M-Instruct-Base
SmollerLM 63M Instruct Base 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)
SmollerLM 63M Instruct Base Parameters and Internals
| LLM Name | SmollerLM 63M Instruct Base |
| Repository 🤗 | https://huggingface.co/mehmetkeremturkcan/SmollerLM-63M-Instruct-Base |
| Model Size | 63m |
| Required VRAM | 0.1 GB |
| Updated | 2025-09-17 |
| Maintainer | mehmetkeremturkcan |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.46.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 49152 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to SmollerLM 63M Instruct Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SmollerLM 48M Instruct Ft Sft | 8K / 0.2 GB | 4 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than mehmetkeremturkcan/SmollerLM-63M-Instruct-Base .
Rank the SmollerLM 63M Instruct Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a