Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sft Trl
Model Card on HF 🤗: https://huggingface.co/rbgo/SmolLM2-1.7B-R1-Distilled
SmolLM2 1.7B R1 Distilled 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)
SmolLM2 1.7B R1 Distilled Parameters and Internals
| LLM Name | SmolLM2 1.7B R1 Distilled |
| Repository 🤗 | https://huggingface.co/rbgo/SmolLM2-1.7B-R1-Distilled |
| Model Size | 1.7b |
| Required VRAM | 3.4 GB |
| Updated | 2025-09-18 |
| Maintainer | rbgo |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 49154 |
| Torch Data Type | float16 |
Best Alternatives to SmolLM2 1.7B R1 Distilled
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SmolLM2 1.7B Instruct 16K | 16K / 3.4 GB | 74 | 9 |
| SmolLM2 1.7B Instruct | 8K / 3.4 GB | 30931 | 674 |
| SmolTulu 1.7B Reinforced | 8K / 3.4 GB | 9 | 5 |
| Penny 1.7B | 8K / 6.9 GB | 8 | 24 |
| SmolLM2 1.7 Persona | 8K / 3.5 GB | 6 | 0 |
| Superthoughts Lite V1 | 8K / 3.4 GB | 3 | 3 |
| ...ghts Lite 1.8B Experimental O1 | 8K / 3.6 GB | 6 | 2 |
| Cllm 1.0.0 340000 Instruct | 8K / 3.5 GB | 5 | 0 |
| SmolLM2 1.7B Open Thought | 8K / 3.4 GB | 5 | 1 |
| SmolLM2 1.7B Instruct | 8K / 3.4 GB | 1853 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than rbgo/SmolLM2-1.7B-R1-Distilled .
Rank the SmolLM2 1.7B R1 Distilled Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124