SmolLM2 360M Synthetic Concise Reasoning is an open-source language model by argilla. Features: 360m LLM, VRAM: 1.4GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.17.
Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Conversational Datacraft Dataset:argilla/synthetic-conc... En Endpoints compatible Generated from trainer Llama Region:us Safetensors Sft Tensorboard Trl
Model Card on HF 🤗: https://huggingface.co/argilla/SmolLM2-360M-synthetic-concise-reasoning
SmolLM2 360M Synthetic Concise Reasoning 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 360M Synthetic Concise Reasoning Parameters and Internals
| LLM Name | SmolLM2 360M Synthetic Concise Reasoning |
| Repository 🤗 | https://huggingface.co/argilla/SmolLM2-360M-synthetic-concise-reasoning |
| Model Name | SmolLM2-360M-synthetic-concise-reasoning |
| Base Model(s) | |
| Model Size | 360m |
| Required VRAM | 1.4 GB |
| Updated | 2026-05-23 |
| Maintainer | argilla |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.48.0.dev0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 49152 |
| Torch Data Type | float32 |
Best Alternatives to SmolLM2 360M Synthetic Concise Reasoning
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SmolLM2 360M Instruct | 8K / 0.7 GB | 179844 | 186 |
| SmolLM2 360M | 8K / 0.7 GB | 67454 | 96 |
| Smollm3 720prms | 8K / 0.7 GB | 74 | 0 |
| Auto Completer 0.1 | 8K / 1.4 GB | 7 | 1 |
| ProseFlow V1 360M Instruct | 8K / 0.7 GB | 2 | 1 |
| YarnGPT2 | 8K / 0.7 GB | 4089 | 6 |
| TwinSmolLM2 360M | 8K / 0.7 GB | 5 | 0 |
| SmolLM2 360M Instruct | 8K / 0.7 GB | 11526 | 4 |
| SmolLM2 Rethink 360M | 8K / 1.4 GB | 7 | 1 |
| Smollm2 360M Sft SmallThoughts | 8K / 0.7 GB | 12 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than argilla/SmolLM2-360M-synthetic-concise-reasoning .
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a