SmolLM 135M Layer Pruned 90M Raw is an open-source language model by Trelis. Features: 135m LLM, VRAM: 0.2GB, Context: 2K, LLM Explorer Score: 0.16.
Model Card on HF 🤗: https://huggingface.co/Trelis/SmolLM-135M-layer-pruned-90M-raw
SmolLM 135M Layer Pruned 90M Raw 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 135M Layer Pruned 90M Raw Parameters and Internals
| LLM Name | SmolLM 135M Layer Pruned 90M Raw |
| Repository 🤗 | https://huggingface.co/Trelis/SmolLM-135M-layer-pruned-90M-raw |
| Model Size | 135m |
| Required VRAM | 0.2 GB |
| Updated | 2026-01-31 |
| Maintainer | Trelis |
| 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 | <|im_end|> |
| Vocabulary Size | 49152 |
| Torch Data Type | bfloat16 |
Best Alternatives to SmolLM 135M Layer Pruned 90M Raw
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SmolLM2 135M Instruct | 8K / 0.3 GB | 889496 | 302 |
| SmolLM2 135M | 8K / 0.3 GB | 988892 | 172 |
| Smollm2 Helpbot 135M | 8K / 0.3 GB | 1 | 1 |
| BokantLM0.1 135M Deepseek | 8K / 0.5 GB | 6 | 0 |
| SmolLM2 135M Mofbandgap | 8K / 0.3 GB | 5 | 0 |
| SmolLM2 Rethink 135M | 8K / 0.5 GB | 11 | 1 |
| SmolLM2 135M Instruct Ita | 8K / 0.1 GB | 24 | 0 |
| SmolLM2 FT MyDataset | 8K / 0.5 GB | 65 | 0 |
| Sft Output | 8K / 0.5 GB | 31 | 0 |
| SmolLM2 135M Eagle | 8K / 0.3 GB | 7 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than Trelis/SmolLM-135M-layer-pruned-90M-raw .
Rank the SmolLM 135M Layer Pruned 90M Raw Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a