Model Card on HF 🤗: https://huggingface.co/sarthakrw/SmolLM-FT-CoEdIT
SmolLM FT CoEdIT 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)
SmolLM FT CoEdIT Parameters and Internals
| LLM Name | SmolLM FT CoEdIT |
| Repository 🤗 | https://huggingface.co/sarthakrw/SmolLM-FT-CoEdIT |
| Model Size | 134.5m |
| Required VRAM | 0.5 GB |
| Updated | 2025-09-23 |
| Maintainer | sarthakrw |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 49153 |
| Torch Data Type | float32 |
Best Alternatives to SmolLM FT CoEdIT
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Turn Detector | 8K / 0.5 GB | 47162 | 78 |
| Policy Iteration 1 | 8K / 0.5 GB | 86 | 0 |
| SmolLM2 FT MyDataset | 8K / 0.5 GB | 5 | 0 |
| Poker SmolLM | 8K / 0.5 GB | 16 | 1 |
| SmolLM2 FT MyDataset | 8K / 0.5 GB | 5 | 0 |
| Distilled Chat Ocra | 8K / 0.5 GB | 5 | 0 |
| N1 | 2K / 0.5 GB | 796 | 1 |
| SmolLM FT NYTCw | 2K / 0.5 GB | 5 | 0 |
| Value Iteration 1 | 2K / 0.5 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than sarthakrw/SmolLM-FT-CoEdIT .
Rank the SmolLM FT CoEdIT Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124