Autotrain compatible Base model:toastypigeon/smolll... En Endpoints compatible License:apache-2.0 Llama Region:us Safetensors Sft Trl Unsloth
Smolphin Test Bottomheavy Benchmarks
ARC: 32.68 vs 96.7 (so35)-66.2%
HellaSwag: 59.17 vs 95.3 (gpt4)-37.9%
MMLU: 25.84 vs 88.3 (so35)-70.7%
TruthfulQA: 38.49 vs 59 (gpt4)-34.8%
WinoGrande: 61.8 vs 87.5 (gpt4)-29.4%
GSM8K: 1.29 vs 96.4 (so35)-98.7%
LLME Score: 0.29176
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)
Smolphin Test Bottomheavy Parameters and Internals
| LLM Name | Smolphin Test Bottomheavy |
| Repository 🤗 | https://huggingface.co/ToastyPigeon/smolphin-test-bottomheavy |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2024-07-04 |
| Maintainer | ToastyPigeon |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.39.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Smolphin Test Bottomheavy
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi Coder 1.5B Chat | 128K / 3 GB | 168 | 18 |
| Yi Coder 1.5B | 128K / 3 GB | 87 | 11 |
| TinyLlaMa3 DifferentTest | 32K / 6 GB | 7 | 0 |
| TinyLlama3 EmptyModel | 32K / 6 GB | 5 | 0 |
| Tinyllama2.0 Test0 | 32K / 6 GB | 5 | 0 |
| Tinyllama2.0 Test5 | 4K / 6 GB | 10 | 0 |
| EMO 1.5B | 4K / 3.7 GB | 10 | 2 |
| SmolLlama 1.5B Sorted | 2K / 3.1 GB | 0 | 0 |
| SmolLlama 1.5B | 2K / 3.1 GB | 0 | 0 |
| SmolLlama 1.5B Bottomheavy | 2K / 3.1 GB | 0 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than ToastyPigeon/smolphin-test-bottomheavy .
Rank the Smolphin Test Bottomheavy Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803