Autotrain compatible Conversational En Endpoints compatible It License:apache-2.0 Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/DeepMount00/Phi-3-Large-5.6b
Phi 3 Large 5.6B Benchmarks
ARC: 37.71 vs 96.7 (so35)-61%
HellaSwag: 57.28 vs 95.3 (gpt4)-39.9%
MMLU: 23.12 vs 88.3 (so35)-73.8%
TruthfulQA: 49.66 vs 59 (gpt4)-15.8%
WinoGrande: 56.35 vs 87.5 (gpt4)-35.6%
GSM8K: 59.14 vs 96.4 (so35)-38.7%
LLME Score: 0.28191
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)
Phi 3 Large 5.6B Parameters and Internals
| LLM Name | Phi 3 Large 5.6B |
| Repository 🤗 | https://huggingface.co/DeepMount00/Phi-3-Large-5.6b |
| Model Size | 5.6b |
| Required VRAM | 11.3 GB |
| Updated | 2024-07-04 |
| Maintainer | DeepMount00 |
| Model Type | llama |
| Model Files | |
| Supported Languages | it en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Phi 3 Large 5.6B
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| Pallas 0.5 Frankenmerge AWQ | 195K / 20.1 GB | 8 | 1 |
Rank the Phi 3 Large 5.6B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227