Autotrain compatible Conversational Custom code En Endpoints compatible Phi Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/frankenmerger/delta-4B-super
Delta 4B Super Benchmarks
ARC: 58.62 vs 96.7 (so35)-39.4%
HellaSwag: 76.29 vs 95.3 (gpt4)-19.9%
MMLU: 59.06 vs 88.3 (so35)-33.1%
TruthfulQA: 51.74 vs 59 (gpt4)-12.3%
WinoGrande: 73.64 vs 87.5 (gpt4)-15.8%
GSM8K: 46.93 vs 96.4 (so35)-51.3%
LLME Score: 0.1891
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)
Delta 4B Super Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Delta 4B Super |
| Repository 🤗 | https://huggingface.co/frankenmerger/delta-4B-super |
| Model Size | 4b |
| Required VRAM | 9.3 GB |
| Updated | 2025-02-22 |
| Maintainer | frankenmerger |
| Model Type | phi |
| Model Files | |
| Supported Languages | en |
| Model Architecture | PhiForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | CodeGenTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 51200 |
| Torch Data Type | bfloat16 |
Best Alternatives to Delta 4B Super
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...hi 2 Upscaled 4B Instruct V0.1 | 2K / 8.1 GB | 111 | 3 |
| Phi 2 4B | 2K / 1.8 GB | 6 | 0 |
| Delta 4B Orange | 2K / 9.3 GB | 88 | 0 |
| Delta 4B Notso Base | 2K / 9.3 GB | 74 | 0 |
| Delta 4B Instruct V0.1 | 2K / 9.4 GB | 15 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than frankenmerger/delta-4B-super .
Rank the Delta 4B Super Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227