Autotrain compatible Dataset:bee-spoke-data/knowled... Endpoints compatible Generated from trainer Llama Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/BEE-spoke-data/verysmol_llama-v11-KIx2
Verysmol Llama V11 KIx2 Benchmarks
ARC: 22.7 vs 96.7 (so35)-76.5%
HellaSwag: 27.6 vs 95.3 (gpt4)-71%
MMLU: 25.28 vs 88.3 (so35)-71.4%
TruthfulQA: 44.75 vs 59 (gpt4)-24.2%
WinoGrande: 51.54 vs 87.5 (gpt4)-41.1%
GSM8K: 0.3 vs 96.4 (so35)-99.7%
LLME Score: 0.18118
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)
Verysmol Llama V11 KIx2 Parameters and Internals
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| LLM Name | Verysmol Llama V11 KIx2 |
| Repository 🤗 | https://huggingface.co/BEE-spoke-data/verysmol_llama-v11-KIx2 |
| Model Size | 58.1m |
| Required VRAM | 0.2 GB |
| Updated | 2025-09-16 |
| Maintainer | BEE-spoke-data |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 1024 |
| Model Max Length | 1024 |
| Transformers Version | 4.33.3 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32128 |
| Torch Data Type | float32 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124