Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Conversational Endpoints compatible Instruct Llama Region:us Safetensors
SmolLM 135M Instruct 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 Instruct Layer Pruned 90M Raw Parameters and Internals
| LLM Name | SmolLM 135M Instruct Layer Pruned 90M Raw |
| Repository 🤗 | https://huggingface.co/Trelis/SmolLM-135M-Instruct-layer-pruned-90M-raw |
| Base Model(s) | |
| Model Size | 135m |
| Required VRAM | 0.2 GB |
| Updated | 2024-10-04 |
| Maintainer | Trelis |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| 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 Instruct Layer Pruned 90M Raw
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SmolLM 135M Instruct | 2K / 0.3 GB | 16391 | 89 |
| ...5m Skunkworks Reasoning Alpaca | 2K / 0.3 GB | 12 | 0 |
| SmolLM 135M Instruct 4bit | 2K / 0.1 GB | 16 | 2 |
| SmolLM 135M Instruct 8bit | 2K / 0.1 GB | 5 | 2 |
| SmolLM 135M Instruct Fp16 | 2K / 0.3 GB | 2 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than Trelis/SmolLM-135M-Instruct-layer-pruned-90M-raw .
Rank the SmolLM 135M Instruct Layer Pruned 90M Raw Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803