Tinyllama 616M Cinder Benchmarks
ARC: 26.45 vs 96.7 (so35)-72.6%
HellaSwag: 36.4 vs 95.3 (gpt4)-61.8%
MMLU: 24.86 vs 88.3 (so35)-71.8%
TruthfulQA: 43.41 vs 59 (gpt4)-26.4%
WinoGrande: 53.28 vs 87.5 (gpt4)-39.1%
LLME Score: 0.25876
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)
Tinyllama 616M Cinder Parameters and Internals
| LLM Name | Tinyllama 616M Cinder |
| Repository 🤗 | https://huggingface.co/Josephgflowers/Tinyllama-616M-Cinder |
| Model Size | 616m |
| Required VRAM | 0 GB |
| Updated | 2024-09-07 |
| Maintainer | Josephgflowers |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.40.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Tinyllama 616M Cinder
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...lama 616M Cinder DPO With GGUF | 4K / 1.2 GB | 99 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Josephgflowers/Tinyllama-616M-Cinder .
Rank the Tinyllama 616M Cinder Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803