Model Card on HF 🤗: https://huggingface.co/aboros98/merlin1.4
Merlin1.4 Benchmarks
ARC: 59.3 vs 96.7 (so35)-38.7%
HellaSwag: 74.5 vs 95.3 (gpt4)-21.8%
MMLU: 56.34 vs 88.3 (so35)-36.2%
TruthfulQA: 47.36 vs 59 (gpt4)-19.7%
WinoGrande: 74.98 vs 87.5 (gpt4)-14.3%
GSM8K: 48.45 vs 96.4 (so35)-49.7%
LLME Score: 0.20434
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)
Merlin1.4 Parameters and Internals
| LLM Name | Merlin1.4 |
| Repository 🤗 | https://huggingface.co/aboros98/merlin1.4 |
| Required VRAM | 5.6 GB |
| Updated | 2024-12-22 |
| Maintainer | aboros98 |
| Model Type | phi |
| Model Files | |
| Model Architecture | PhiForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.37.0 |
| Tokenizer Class | CodeGenTokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 51200 |
| Torch Data Type | float16 |
Best Alternatives to Merlin1.4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi1.5 Quantized 2 | 2K / GB | 9 | 0 |
| Merlin1.5 | 2K / 5.6 GB | 75 | 0 |
| Merlin1.2 | 2K / 5.6 GB | 72 | 0 |
| Merlin1.3 | 2K / 5.6 GB | 72 | 0 |
| Tinyllama Quant | 2K / 0.8 GB | 7 | 1 |
| Phi1.5 Update 4 | 2K / GB | 7 | 0 |
| Phi 2 Fp8 | 2K / 3.3 GB | 8 | 0 |
| Phi 2 Int8 Ov | 2K / 0 GB | 51 | 0 |
| Phi 2 Ov Quantized | 2K / 1.9 GB | 27 | 0 |
| Phi Bode 2 Ultraalpaca | 2K / 5.6 GB | 17 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than aboros98/merlin1.4 .
Rank the Merlin1.4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217