SmolLM2 135M 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 135M Parameters and Internals
| LLM Name | SmolLM2 135M |
| Repository 🤗 | https://huggingface.co/HuggingFaceTB/SmolLM2-135M |
| Model Size | 135m |
| Required VRAM | 0.3 GB |
| Updated | 2024-11-06 |
| Maintainer | HuggingFaceTB |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 49152 |
| Torch Data Type | bfloat16 |
Best Alternatives to SmolLM2 135M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SmolLM2 135M Instruct | 8K / 0.3 GB | 4861 | 48 |
| SmolLM2 Prompt Enhance | 8K / 0.5 GB | 32 | 4 |
| SmolLM2 135M | 8K / 0.3 GB | 226 | 0 |
| SmolLM2 135M Instruct | 8K / 0.3 GB | 39 | 0 |
| SmolLM 135M | 2K / 0.5 GB | 43741 | 170 |
| SmolLM 135M Instruct | 2K / 0.3 GB | 26856 | 95 |
| AMD Llama 135M | 2K / 0.5 GB | 11915 | 110 |
| ... Instruct Layer Pruned 90M Raw | 2K / 0.2 GB | 253 | 1 |
| AMD Llama 135M Code | 2K / 0.5 GB | 1282 | 12 |
| ...olLM 135M Layer Pruned 90M Raw | 2K / 0.2 GB | 12 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceTB/SmolLM2-135M .
Rank the SmolLM2 135M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803